Deep understandings of mathematics and well-honed abilities in mathematical thinking are critically relevant for today’s students. Careers in Science, Technology, Engineering, and Mathematics (STEM) are growing dramatically and grew much faster than employment in non-STEM occupations over the last decade (24.4 percent versus 4.0 percent, respectively). STEM occupations are projected to grow by 8.9 percent from 2014 to 2024, compared to 6.4 percent growth for non-STEM occupations. “For the United States to continue its technological leadership as a nation requires that more students pursue educational paths that enable them to become scientists, mathematicians, and engineers,” as noted in Adding It Up: Helping Children Learn Mathematics (National Research Council [NRC], 2001, p.16).
The National Council for Teachers of Mathematics (NCTM^{®}) continues to lead efforts to strengthen math teaching and learning. NCTM enunciated the Curriculum Principle, which notes that excellent mathematics programs include curriculum that develops important mathematical concepts along coherent learning progressions and develops connections among areas of mathematical study and between mathematics and the real world (NCTM, 2014). In its expansive research in mathematics teaching and learning, NCTM promotes the idea that “knowing the mathematics curriculum for a particular grade level or course is sufficient to effectively teach the content to students” is an unproductive belief. “Mathematics teachers need to have a clear understanding of the curriculum within and across grade levels—in other words, student learning progressions—to effectively teach a particular grade level or course in the sequence” (NCTM, 2014, p.72).
Houghton Mifflin Harcourt’s Into Math™ © 2020 is an intentional, comprehensive, and inspiring mathematics solution for Grades K–8 that centers on student growth. Growth is maximized when instruction, assessment, and professional learning are coordinated and tightly aligned, and Into Math is structured to support growth in teaching and learning. The solution seeks to maintain the following:
Built upon a foundation of mathematics education research and authored by leaders in the field of mathematics education, Into Math is proven to be effective in raising students’ achievement. This document highlights the features of this cohesive, innovative solution while demonstrating explicitly the research upon which it is based.
Into Math is a comprehensive mathematics learning system in which all the resources have a clear and intentional purpose that supports effectiveness. The solution concept unites a focused lesson structure with clear goals, measurements of student growth, and a teacher support system.
The content architecture is focused, purposeful, and coherent. Each lesson clearly outlines the standards and practices, objectives, and learning progressions so teachers can best support student learning. By incorporating a clear path for measuring student growth through assessment, data, and reports, the solution offers the best tools and choices for every situation and each goal for student success. Into Math professional learning empowers and supports teachers to be developers of high-impact learning experiences through embedded and ongoing professional learning.
Into Math presents several key themes, which are at the core of the solution. The themes back the solution concept and inspire the teaching and learning set forth for students. The intentional design of the solution provides a structure for students to keep them at the center of teaching and learning. There is a clear path outlined throughout each lesson of each module that integrates productive perseverance, small-group instruction, and a growth mindset through the inclusion of resources tailored to maximize student growth. The solution offers a comprehensive assessment design that focuses on connecting data and instruction so teachers are able to make decisions as necessary. Into Math comprises resources, tasks, and practices designed to instill a growth mindset—students are encouraged to focus on expanding their understanding rather than performing (Dweck, 1999). The wide variety of embedded professional growth opportunities supports teachers throughout each lesson of each module.
1. Intentional Design: Every piece of the solution works in concert with the functional lesson structure, keeping the student and the mathematics at the center
2. A Clear Path through Every Classroom Moment: Grouping tools, recommended resources, and access to other grade-level assignments by standard
3. Impactful Use of Data from Day One: Strategic tools for a simple approach to formative assessment and cumulative data that inform and enrich the mathematics content
4. Approach to Growth Mindset Grounded in Research: Based on research and implemented every day to inspire and evolve independent thinking
5. Building a Culture of Professional Growth: Embedded instruction for consistent teaching combined with personal assistance to professional learning
Module Learning Arc
The Module Learning Arc maintains the intentional, consistent flow that supports students in making sense of mathematics. From start to finish, the arc offers strategic concepts—beginning with the module diagnostic to assess students’ prior knowledge and foundational prerequisites. From the diagnostic assessment, the lessons build upon conceptual and procedural understanding and integrate applications to build understanding and check for understanding. Purposeful linking lessons connect conceptual understandings to upcoming procedural needs to create a stronger foundational understanding before moving to build procedural fluency that allows students to more easily access needed concepts and skills to persist with rigorous tasks. Formative measures are embedded throughout to support teachers’ efforts to differentiate instruction. At the close of each module, there is a module test so teachers can measure mastery of what was taught in that module.
Lesson Design
Every lesson of the Into Math solution follows an intentional design, and the routine is consistent to support familiarity for students—and teachers. There are three lesson types that align to the type of teaching and learning necessary: Build Understanding for conceptual lessons; Connect Concepts and Skills for bridging conceptual understandings to set the foundation for procedures; and Apply and Practice to help students understand each step in a procedure and its usage. Each lesson type follows a lesson design as described below:
Learning Spine
The Learning Spine offers a deliberate look into the content organization and subsequent data that can be used to provide focused recommendations for teaching and learning. The hierarchy of domain, cluster, sub-cluster, and concepts and skills shows the comprehensive progression for acquiring knowledge for each grade. This approach correlates directly to “Achieve the Core” and offers the mapping of granularity necessary for student success.
In elementary grades, students conceptualize fractions by using visualizations to partition shapes into halves, thirds, and quarters. Students then build upon this understanding to learn and apply relationships with fractions. They then apply these skills to model and solve real-world problems involving fractions.
Assessment Design
By offering an integrated assessment design, including diagnostic, formative, and summative assessments, the Into Math solution provides the tools necessary to advance, differentiate, and personalize instruction for each and every student. The solution also adheres to the notion that data are key to effective teaching and to meeting the needs of learners. By incorporating a clear path for measuring, monitoring, and accelerating student growth through assessment, data, and reports, the solution offers the best tools and choices for today’s classrooms with the goal of student growth. Most assessments are offered in paper-and-pencil format but without the technology-enhanced assessment items, data, analytics, and reporting that can be offered digitally. Teachers have access to all assessments online, which saves time on grading and saves efforts in printing materials. Students also receive instant feedback and can see all of their work in one place. The assessment system provides greater equity by enabling teachers to address targeted and specific needs of each and every student in an ongoing and regular manner.
Growth Mindset
Through partnership with Mindset Works^{®}, HMH supports teachers and students with the latest research in growth mindset. Currently, most teachers think of mindset as “I have not gotten it yet,” but students need tools embedded and modeled for them, so mindset is key and seamless. With the Into Math solution, teachers will see how to foster a growth mindset within the lessons, aligned to the content, so that it seeps into the language and practice of the mathematics lessons. Teachers can turn obstacles into success, and students can turn a lack of confidence into grit—knowing they can learn mathematics, even if they haven’t got it yet. Teachers are guided to support students as they learn and apply concepts with focus and tenacity.
Professional Learning
The Into Math solution is uniquely positioned to deliver ongoing, timely, and relevant professional learning. The professional learning is embedded within Into Math and includes high-impact strategies that are relevant to everyday teaching. Classroom videos for every module, on topics like productive perseverance, language routines, and talk moves, empower teachers to design meaningful learning experiences. Within lessons, embedded professional learning provides ongoing suggestions and strategies and provides teachers the opportunity to reflect on their own practice.
Courses and coaching from Math Solutions^{® }support teachers as they gain a deeper understanding of mathematics and increase their overall effectiveness in the math classroom.
Coherent Experience
By focusing on growth, the Into Math solution is built on consistency in practice and use. This leads to greater growth and better outcomes for students. Each piece of the solution leans on another—and when implemented with fidelity, they drive student growth. As noted, growth is maximized when instruction, assessment, and professional learning are coordinated and tightly aligned. Into Math delivers on this notion and commits to yielding the best results for students.
Mathematics Achievement
To keep pace with a rapidly changing world, our students need to be prepared for a future in mathematics. Although our nation has seen some increases and accomplishments in mathematics achievement, our students still score below average on international tests of mathematical knowledge and skills (Loveless, 2011). Among 34 countries participating in the 2012 Programme for International Student Assessment (PISA) of 15-year-olds, the United States ranked 26th in mathematics—and between 2003 and 2012, the U.S. mean score on PISA declined while many other countries witnessed gains (NCTM, 2014).
When looking at some of our national statistics, the picture is similar. We have made some gains, but 60 percent of our nation’s fourth graders and 66 percent of our eighth graders do not meet current mathematics standards (U.S. Department of Education, National Center for Education Statistics, 2017). Further, our fourth-grade results show a decline from 2013 to 2015 and did not change from 2015 to 2017. Our eighth-grade results show minimal improvement, and less than half of our college-bound students are prepared for postsecondary education and beyond (College Board, 2011). Clearly, we need to reevaluate, redesign, and reinvent our approach to mathematics teaching and learning to address our continued challenges.
Teacher’s Role
As we look to improve students’ mathematical preparedness, we must emphasize the changing role of the teacher in the implementation. The advances in technology have changed the availability of information as well as access to it. There was a time when students needed a book or a teacher to learn, but now there is immediate access to so much information. Teachers employ practices they have learned and developed through participation in their own educational experiences as students (Ball, 1990; Cooney, 2001) and as practitioners (Cobb & McClain, 2001). Additionally, teacher practices are filtered through what teachers know and believe—resulting in standards implementation based upon negotiation of the objectives with teachers’ held knowledge and beliefs and current teaching practices (Ball & Cohen, 1999). Those designing effective support for teachers must consider this reality (Lappan, 1997) and the challenges teachers and their students face in adapting to these new expectations.
Houghton Mifflin Harcourt’s Into Math efficiently collects data and provides reports for teachers to analyze the data that effectively guide their instructional decisions. Further, grouping and resource recommendations along with additionally searchable prerequisite/extending standards-based assignments based on data ensure greater equity for each and every student.
Technology’s Impact on Mathematics Achievement
As the role of the teacher changes, education also experiences the swift impact of technology and its rapidly changing nature, which affects teaching and learning. As noted by Digital Promise Global (2016), “Without changes, the social and economic disparities and achievement gaps of people who historically are underserved will persist and grow, and we will be at risk of marginalizing more and more students” (p. 2).
Districts and teachers realize that the educational landscape is rapidly changing. Our students are changing—they have greater access to information than ever before. They expect technology to work for them. Classrooms are also more diverse; students have wide-ranging ability levels and unique needs. Teachers are overwhelmed—requirements from administrators, families, and testing make teaching challenging. Houghton Mifflin Harcourt’s Into Math invests in teachers, creates fearless problem solvers, and fosters a growth mindset by supporting a shift in pedagogical approach, supplying the technological tools to support the transition, and helping make change manageable—while seamlessly fitting into a complex and diverse learning ecosystem.
Mathematics Teaching Practices
NCTM has extended and elaborated on the guiding mathematics principles (2000) in its 2014 publication Principles to Actions: Ensuring Mathematical Success for All. These principles are based on more than a decade of research and experience and continue to be a driving force behind a high-quality mathematics education for all students. Each of the Mathematics Teaching Practices, part of the first guiding principle of Principles to Actions, is reflected in the components of Houghton Mifflin Harcourt’s Into Math.
Mathematics goals are focused, purposeful, and coherent. Each lesson clearly outlines the standards and practices, objectives, and learning progressions so teachers can best support and focus student learning. Identifying and clarifying what students are expected to learn and understand in a mathematics classroom is an essential component to success (Wiliam, 2011). Teachers and students benefit from establishing a shared foundation of what is being learned and why it is important to learn. “Formulating clear, explicit learning goals sets the stage for everything else” (Hiebert, Morris, Berk, & Jansen, 2007, p. 57).
Tasks require a high level of cognitive demand, which is necessary when promoting reasoning and problem solving in the mathematics classroom. In a study that compared students exposed to teaching strategies that promoted higher-order thinking with those who were taught more traditionally, researchers found that experimental-group students outperformed control-group students, showing significant improvement in critical-thinking skills; “Our findings suggest that if teachers purposefully and persistently practice higher-order thinking strategies, for example dealing in class with real-world problems, encouraging open-ended class discussions, and fostering inquiry-oriented experiments, there is a good chance for a consequent development of critical thinking capabilities” (Miri, David, & Uri, 2007, p. 353). Student learning is greatest in classrooms where the tasks consistently encourage high-level student thinking and reasoning and least in classrooms where the tasks are routinely procedural (Boaler & Staples, 2008; Stein & Lane, 1996).
Connections among mathematical ideas are an essential part of mathematics learning. Making connections between new information and students’ existing knowledge—knowledge of other content areas and of the real world—has proved to be more effective than learning facts in isolation (Beane, 1997; Bransford, Brown, & Cocking, 1999; Caine & Caine, 1991; Kovalik & Olsen, 1994). Further, connecting mathematics to science, social studies, and business topics can increase students’ understanding of and ability with mathematics (Russo, Hecht, Burghardt, & Saxman, 2011). Students maximize learning when they make connections among ideas, both within mathematics and outside of the mathematics content.
Students use mathematical models and representations to help make mathematical concepts more concrete. “Because of the abstract nature of mathematics, people have access to mathematical ideas only through the representations of those ideas” (NRC, 2001, p. 94). For young students, representations are especially important because they can be physical objects or actions students perform as they are trying to solve problems (NRC, 2001). As students create representations, they have the opportunity to internalize and process what they are doing, what they are creating, and what they are seeing. These actions, in turn, allow students to take an active role in their learning.
Students engage in mathematical discourse throughout each lesson. When students write about and discuss math concepts, they have the chance to think through, defend, and support their ideas. A review of studies conducted by the National Council of Teachers of Mathematics revealed that “the process of encouraging students to verbalize their thinking—by talking, writing, or drawing the steps they used in solving a problem—was consistently effective. . . . Results of these students were quite impressive, with an average effect size of 0.98” (Gersten, Clarke & Mazzocco, 2007, p. 2). Communicating about math improves learning; “encouraging students to verbalize their current understandings and providing feedback to the student increases learning” (Gersten & Chard, 2001).
“Effective teaching of mathematics uses purposeful questions to assess and advance student reasoning and sense making about important mathematical ideas and relationships” (NCTM, 2014). While types of questions vary from asking students to recall facts to requesting an explanation for an answer, presenting questions throughout the learning process is necessary to understanding how students are making sense of the math. As noted in research by Weiss and Pasley (2004), questions are critical in helping students make connections and learn important mathematics concepts—especially questioning that effectively gauges student understanding.
To achieve understanding, each lesson recognizes and supports the relationship between procedural fluency and conceptual understanding. Specifically, “Effective teaching of mathematics builds fluency with procedures on a foundation of conceptual understanding so that students, over time, become skillful in using procedures flexibly as they solve contextual and mathematical problems” (NCTM, 2014, p. 42). Effective mathematics instruction cannot have one without the other as “procedural knowledge and conceptual understandings must be closely linked” (NRC, 2005, p. 232).
Students have the opportunity to practice and engage in productive perseverance with mathematical problems and ideas that encourages them to consider their own thinking and to discover that learning can happen without rushing to simply find the correct answer. Teachers who guide students through “productive perseverance” are supporting the development of student learning and understanding (Hiebert & Grouws, 2007). Students receive reassurance as they grapple with ideas, and teachers support them through the process rather than give them the answers (Hiebert et al., 1996).
Teachers are prompted to elicit and use evidence of student thinking. To discover what students know or don’t know, what they do well or poorly, the teacher must closely examine the students’ work. “Effective teaching of mathematics uses evidence of student thinking to assess progress toward mathematical understanding and to adjust instruction continually in ways that support and extend learning” (NCTM, 2014, p. 53).
Mathematical Progressions
The Common Core State Standards are research and evidence based. The Math Standards progressively develop content each year by providing a greater focus on fewer topics, coherence of topics and thinking across the grades, and the pursuit of conceptual understanding, procedural skills and fluency, and application with equal intensity.
The coherence of standards, as illustrated by the logical progression across grade levels, is an essential element of effective standards. The standards build on the foundations of earlier years, with new learning extending upon what has already been learned. This focus on progressions is intentional, develops deep content knowledge, and builds the complexity of student skills over time.
The Mathematics Standards reflect the most important mathematical topics. They comprise related ideas, concepts, skills, and procedures that form the foundation for understanding and using mathematics and lasting learning (NCTM, 2006).
Focused content, clear goals, and intentional design are consistent cornerstones throughout the Into Math solution. As noted in research, standards-based learning environments appear to have significant impacts on student achievement (Tarr et al., 2008). Standards correlate with higher student achievement, perhaps because standards ensure alignment between what experts in the field identify as essential skills and knowledge; provide the focus of classroom teachers’ instruction; clearly detail what students are supported in learning; and inform the content of assessments. Every lesson of the Into Math solution articulates the content focus and goals, as well as the mathematical practices to support students as they develop ways of thinking about and doing mathematics. Every lesson also follows an intentional design that is predictable and logical to best shape the planning and delivery of instruction.
For students to achieve understanding and acquire mathematics skills, identifying and clarifying what those students are expected to learn and understand in a mathematics classroom is an essential component to success (Wiliam, 2011). Standards offer a guide for teachers to ensure that they are helping students build the foundations they need to move on to the next grade level and be ready for college and work. Standards can help ensure that teachers are appropriately targeting instruction and can help students set clear academic goals for learning. Past comparisons of the United States with other countries have suggested that the U.S. K–8 curriculum is “shallow, undemanding, and diffuse in content coverage” (NRC, 2001, p. 4).
In contrast, research suggests that a greater focus on fewer content areas leads to greater mastery. Reviews of the mathematics curricula in top-performing countries find that these “present fewer topics at each grade level but in greater depth” (National Mathematics Advisory Panel, 2008, p. 20). Standards must “promote rigor not simply by including advanced mathematical content, but by requiring a deep understanding of the content at each grade level, and providing sufficient focus to make that possible” (Achieve, 2010, p. 1). Cobb and Jackson (2011) came to the same conclusion: that it is beneficial for mathematics teaching and learning to focus on a small number of core mathematical ideas at each grade.
Although the standards detail the knowledge and skills that students are expected to learn at each grade, they do not describe the instructional approaches teachers will take to help students meet the standards. Thus, an effective instructional solution is needed to bridge the expectations set out by the standards and the desired student outcomes. These instructional solutions must also be focused.
One approach noted by Dr. Juli Dixon is to consider the following four questions:
How Into Math Delivers
Into Math is rigorous, focused, and cohesive, which is necessary for effective mathematics teaching and learning. Throughout the solution, students build their conceptual understandings, improve their procedural fluency, and apply their knowledge in meaningful contexts and real-world applications. Into Math clearly outlines essential content and skills. With more focused learning, students can achieve at higher levels. The curricula also reflect a sequence of content within and across grade levels in a way that best reflects the hierarchical and logical structures of mathematics—for deep understanding. The Common Core Standards for Mathematics are noted, as are the mathematical practices in which students will engage and develop mathematical habits. The Into Math solution commits to a concise, logical curriculum, tightly focused on building deep conceptual understanding connected to procedural fluency and thorough application. The solution’s Learning Arc supports students in making connections and bridging the conceptual to the procedural, providing them with better access to the concrete models associated with the procedures when they need those procedures to complete more complex tasks.
At the beginning of each lesson, teachers can pose the "I Can" Objective and reinforce it throughout with the projectable "I Can" scale. “Effective teaching of mathematics uses purposeful questions to assess and advance student reasoning and sense making about important mathematical ideas and relationships” (NCTM, 2014). Teachers and students kick off each lesson with a shared understanding. Activating prior knowledge and understanding helps support moving forward with the lesson. Into Math gives teachers guidance to ask students meaningful questions related to the critical concepts they are learning.
Mathematics learning and language objectives can be challenging to create. Into Math provides teachers with coherent objectives for each lesson of each module. The objectives contribute to the targeted, coherent solution set forth, and the prompts give teachers the ability to ensure that instruction is aligned.
The Mathematical Practices and Processes provide guidance as students engage, learn, and use mathematics. Problem solving, reasoning, proving, reflecting, choosing tools and strategies, connecting, representing, and communicating are all part of the solution. Students learn to make this happen through the "I Can" Objective.
Effective teaching of mathematics establishes clear goals for the mathematics that students are learning, situates goals within learning progressions, and uses the goals to guide instructional decisions (NCTM, 2014). As noted by Marzano in Designing and Teaching Learning Goals and Objectives, identifying goals is the first step in building a unit of instruction (Marzano, 2010).
Teachers and students benefit from establishing a shared foundation of what is being learned and why it is important to learn. “Formulating clear, explicit learning goals sets the stage for everything else” (Hiebert et al., 2007, p. 57). Specific goals articulate a clear path for behavior and desired performance and serve as motivation for learning (Marzano, 2010). Setting clear goals and expectations increases motivation by encouraging student involvement in and responsibility for their own learning (Ames, 1992; Bransford, Brown, & Cocking, 1999).
By looking at the goals within mathematics learning progressions (Charles, 2005), teachers have the opportunity to examine and monitor student progress and needs in order to adjust instruction as necessary (Clements, Sarama, & DiBiase, 2004; Sztajn, Confrey, Wilson, & Edgington, 2012). Teachers can support learners as they build on what they know, develop more complex understandings, and realize that mathematics is not a set of discrete parts—it is coherent and connected (Fosnot, Twomey, & Jacob, 2010; Ma, 2010).
Research also shows that setting and sharing learning goals with students has a positive impact on their learning. Work by Haystead & Marzano (2009) and Hattie (2009) shows that students in classrooms where learning goals are clearly articulated perform at higher levels than students who are unaware of the expectations. When expectations are discussed with students, they are able to find value in their work and understand the greater purpose of what they are learning (Black & Wiliam, 1998; Marzano, 2010). Establishing goals allows students to focus on the expectation that is set and become more aware of their own thinking and learning (Clarke, Timperley, & Hattie, 2004; Zimmerman, 2001).
As noted by Dixon (2018), while it is important for learning goals to be clear, it is equally important that students are the ones doing the “sense-making.” Goals should be posted after the exploration phase of a lesson, where conceptual understanding is being built to avoid undermining student engagement or depriving them of the rigor of the task and the opportunity to make valuable personal connections from previous learning to new understandings (2018).
How Into Math Delivers
All learning is shown in the context of mathematical progressions so students and teachers can clearly see the expected progression of learning—the learning goals. Strong learning progressions help students develop a deep understanding of mathematical content. Each lesson of each module includes a graphic representation of prior learning, current development, and future connections for learning. Throughout the solution, students build to more complex concepts, skills, and applications of content knowledge over time.
To further elaborate on the goals, the Teacher’s Editions include an Unpacking the Standards component that notes the math standard(s) addressed in the lesson, as well as an additional explanation of what the standard means. Providing a more thorough description of what is expected in each lesson allows teachers and students to have a shared understanding of learning.
The Teacher's Editions also include Language Objectives. These objectives support students as they learn mathematical concepts and language and practice communicating mathematically.
To achieve understanding, using a logical and intentional design in both the planning and delivery of instruction has been shown to positively impact student outcomes. In their work Understanding by Design, Wiggins and McTighe (2005) describe effective instructional design in the classroom centered on guiding questions, such as these: What should students know, understand, and be able to do? How will we know if students have achieved the desired results? How will we support learners as they come to understand important ideas and processes? Thus, the three stages in their model include identifying desired results, determining assessment evidence, and planning learning experiences and instruction (Wiggins & McTighe, 2005).
Stage 1 will clarify “goals, examine established content standards (national, state, province, and district), and review curriculum expectations. Because there is typically more content than can reasonably be addressed within the available time, teachers are obliged to make choices. This first stage in the design process calls for clarity about priorities” (Wiggins & McTighe, 2005).
In Stage 2, it is important to look back to Stage 1, as the assessment evidence is based on the desired results. “Thus, we consider in advance the assessment evidence needed to document and validate that the targeted learning has been achieved. Doing so invariably sharpens and focuses teaching” (Wiggins & McTighe, 2005).
Stage 3 requires teachers to consider the most appropriate and effective approaches to instruction after they assess whether students have achieved the goal(s). Critical to this stage is that teachers need to teach for understanding. Teaching for understanding requires that students be given numerous opportunities to draw inferences and make generalizations for themselves (with teacher support) (Wiggins & McTighe, 2005).
Identifying what students will learn is only one aspect of intentional design in lessons. It is critical that classroom experiences also connect to what students need to know. Students must understand what they are learning and why they are learning it. “When you know your why, your what has more impact because you are walking in and toward your purpose” (Kanold, 2018).
How Into Math Delivers
Each lesson of each module follows the sequence noted previously. Concepts are introduced, and students engage in productive perseverance to explore the concepts. The teacher then assesses student understanding and guides differentiated activities to further develop the concepts for some students and to clarify for others. Then the lesson closes, and students are able to further practice the concepts and procedures, preparing for the next lesson. The solution is intentionally designed to reflect the realities of real classrooms while achieving the goals of focused topical content with actionable assessment guiding differentiated instruction.
While Into Math does follow the three stages, it also refines teaching and learning, and the routine is consistent to support familiarity for students—and teachers. In addition to incorporating application throughout as students bridge conceptual and procedural understanding, each lesson includes the following:
Research shows that effective teaching is the driving force behind powerful mathematics instruction and deep understanding. Into Math empowers teachers by providing them with the tools, resources, and professional learning they need to improve learning outcomes and create an engaging classroom culture. Teachers are guided in helping students develop procedures and concepts iteratively as they engage in productive perseverance and practice routines for reasoning to deepen their knowledge and understanding. Into Math reinforces the importance of mathematical discourse through communicating mathematically—with immersive opportunities to listen, speak, read, and write about mathematics—and also provides math-specific vocabulary activities for further support. Every Into Math teacher receives professional learning resources to support fostering a growth mindset in the classroom—equating effort with achievement.
In order to achieve understanding in mathematics in particular, students need instruction that recognizes the relationship between procedural fluency and conceptual understanding, which requires students to practice procedural skills that apply the conceptual underpinnings. Specifically, “Effective teaching of mathematics builds fluency with procedures on a foundation of conceptual understanding so that students, over time, become skillful in using procedures flexibly as they solve contextual and mathematical problems” (NCTM, 2014, p. 42). Effective mathematics instruction cannot have one without the other as “procedural knowledge and conceptual understandings must be closely linked” (NRC, 2005, p. 232).
A large number of reports recognize the critical relationship and balance between concepts and procedures in mathematics instruction for student learning (National Mathematics Advisory Panel, 2008; NRC, 2001). Also evidenced by results from a study conducted by Rittle-Johnson & Alibali (1999), concepts and procedures develop iteratively—and gains in one area lead to gains in the other. Research by Franke, Kazemi, and Battey (2007) suggests that students need an environment to develop both concepts and skills in order to become flexible when engaging with mathematical ideas and to develop as critical thinkers. Being proficient in math involves knowing and doing. To effectively solve problems in mathematics, students need to be capable of demonstrating both conceptual understanding and procedural fluency. When students are able to connect procedures and concepts, their retention improves, and they are better able to apply what they know in different situations (Fuson, Kalchman, & Bransford, 2005).
Mathematics helps students understand and solve real-world problems. While teachers present concepts and procedures, students first conceptualize the mathematical nature of a problem and then carry out the corresponding mathematical procedure. Teachers define and link mathematical concepts with their respective procedures to maximize student learning. “While balance is important, so is the order with which these are addressed. Concepts must be taught before procedures otherwise there is no motivation to make sense of the mathematics prior to using more efficient processes” (Dixon, in press-a).
All students need to have a deep and flexible knowledge of a variety of procedures, along with an ability to make critical judgments about which procedures or strategies are appropriate for use in particular situations for best success in the mathematics classroom (NRC, 2001, 2005; Star, 2005).
Into Math builds a bridge between conceptual and procedural learning—something previously absent from mathematical learning. Teachers have been supporting students in building concepts and moving into the procedural; however, the critical bridging aspect was not as clearly defined within the actual lesson architecture. With Into Math, bridging lessons makes concepts sink in as students delve into more rigorous tasks.
How Into Math Delivers
Houghton Mifflin Harcourt’s Into Math fully addresses the expectations for content learning in mathematics content and practice standards. Lessons within each module incorporate instruction on the Mathematics Standards and the Standards for Mathematical Practice so that students are prepared for the challenges of higher-level mathematics courses. Additionally, all course-level Mathematics Standards are explicitly stated at the opening of each lesson, as well as at the point of use, in order to provide continual focus during instruction.
The Into Math solution provides balanced instruction on mathematical content and practice. Teachers are given guidance to develop both concepts and procedures in mathematics learning. Every lesson incorporates the Standards for Mathematical Practice, and they are fully embedded and integrated throughout the solution. The lesson structure integrates productive perseverance, small-group instruction, and growth mindset supported by the right resources. Highlights of alignment include the following:
The National Council of Teachers of Mathematics (NCTM) policy document, Principles to Actions: Ensuring Mathematical Success for All, notes that “an effective teacher provides students with appropriate challenges, encourages perseverance in solving problems, and supports productive struggle in learning mathematics” (NCTM, 2014, p.11). Through productive perseverance, students grapple with the issues and are able to find solutions on their own, allowing them to persist and build resilience as they pursue learning and understanding (Jackson & Lambert, 2010). Further, as noted by Matt Larson, success in any area depends on at least two common components: practice and perseverance (Larson, 2016). “Effective mathematics teaching uses students’ struggles to deepen their understanding of mathematics. Students come to realize that they are capable of doing well in mathematics with effort and perseverance in reasoning, sense making, and problem solving” (NCTM, 2014).
When providing mathematics instruction, it is beneficial for teachers to allow students to explore what they know—and what they don’t know yet. Allowing students the opportunity to practice and wrestle with mathematical problems and ideas encourages them to think about their own thinking and to discover that learning can happen without rushing simply to find the correct answer. Teachers who guide students through “productive struggle” are supporting the development of student learning and understanding (Hiebert & Grouws, 2007). Students receive reassurance as they grapple with ideas, and teachers support them through the process rather than give them the answers (Hiebert et al., 1996).
While fostering an environment in which students are free to work through difficulties, teachers, as instructional guides, need to keep students connected to the learning process. Without positive guidance and reinforcement, a “productive struggle” could become an “unproductive struggle” in which students “are unable to progress toward sense-making, explaining, or tackling a problem or task at hand.” (Warshauer, 2014). “As students engage with a task, they must be mindful about the strategy they employ and assess whether it is productive. When they find they are at a dead end, they must be willing to abandon one strategy for another. When students labor and struggle, but continue to try to make sense of a problem, they are engaging in productive struggle” (Pasquale, 2015). Being proactive with student learning requires that teachers observe student learning closely. “Instead of providing scaffolding just in case students might need it, scaffolding should be offered just in time when there is evidence that the student’s struggle is no longer productive” (Dixon, in press-b).
Math is not a talent that someone has or doesn’t have. All students can learn mathematics. Students simply need teachers who support them and instruction that is appropriate and effective. Students need to be encouraged to try over and over again while using the strategies they have learned. This creates a meaningful mathematics environment (Larson, 2016).
Problem solving is at the heart of mathematics, and wrestling with it is critical to developing students as problem solvers. Teachers can support students through these efforts by providing them the opportunity to struggle—to persevere. Teachers can use these moments to have conversations with students about their thinking and processing. Students will begin to understand that through grappling with mathematics, they are actually expending effort to stick with it, try new ideas, and figure it out (Larson, 2015).
How Into Math Delivers
The solution provides a set of motivating exercises for each lesson. It engages students and pushes them to apply what they know while motivating students to learn the new concepts. Teachers are supported with various questions and possible answers that lead the students to think through the problem.
Each lesson of each module of Into Math begins with Warm-Up Options. Here teachers Activate Prior Knowledge by allowing students to work independently through a short math Problem of the Day or Number Talks (Grades K–2) where they can Make Connections as they work through the problem. When students have finished, teachers can then group students heterogeneously or by “on track,” “almost there,” or “ready for more” and can plan instruction accordingly. Some students can move on to the Math Center, where there are additional self directed activities at centers or stations.
Additionally, to engage students in productive perseverance, each lesson of each module opens with a Spark Your Learning section. Here, teachers follow a routine of supporting students through productive perseverance:
From here, teachers will move on to Learn Together with whole-class instruction to continue to build understanding. Into Math also offers videos that have specific segments in which teachers can learn about students engaging in productive perseverance. Teachers can provide these opportunities for students to develop grit.
Routines help classrooms run smoothly and efficiently and help students and teachers know what to expect. Instructional routines that focus on developing mathematical thinking and learning mathematical practices open doors for students. Routines are “Designs for interaction that organize classroom activities” (Lampert, 2015).
“Like the management routines, these ‘mathematical thinking routines’ also have a predictable set of actions that students learn and then practice repeatedly until they are second nature” (Kelemanik, Lucenta, & Creighton, 2016, p.18). The predictable structure lets students pay less attention to those questions and more attention to the way in which they and their classmates are thinking about a particular math task (Kelemanik et al., 2016).
Students need opportunities to articulate complex mathematical situations (Mondada & Doehler, 2004)—to provide a structured and interactive opportunity for students to revise and refine both their ideas and their verbal and written output (Zwiers, 2014). The principles presented by Zwiers et al. (2017) motivate the use of mathematical language routines (MLR), which help both teachers and students remain attentive to language as much as possible:
English learners (EL) represent a large portion of the U.S. public school population, with data from the National Center for Education Statistics placing the number at 10 percent of the student population (U.S. Department of Education, National Center for Education Statistics [NCES], 2017). Nationwide, one out of ten students is an English learner, and a higher percentage exists in many states, districts, schools, and classrooms. The performance and instructional needs of English learners is of particular interest to educators.
Research suggests that we could do more to meet the needs of this population. In 2011, the NAEP reading assessment showed a 36-point gap at fourth grade and a 44-point gap at eighth grade between EL and non-EL students performance (NCES, 2017). While some may think of English learners as a homogenous population, in fact, English learners come to the classroom with different primary languages, English language proficiency levels, abilities, backgrounds, and needs. Beyond these differences, however, English learners do share some common learning needs. Research suggests some specific strategies that can be of benefit.
Teachers can work with English learners to internalize and apply these routines independently—whenever students encounter challenging mathematical language. These routines can be adapted and incorporated across lessons and modules—wherever there are productive opportunities to support students in using and improving their English and mathematics languages through many opportunities for reading, writing, listening, and speaking about mathematics.
How Into Math Delivers
Information on using language routines to develop understanding appears at the start of each module in the Teacher’s Edition of the Into Math solution. Teachers can use the plan provided to strengthen instruction by fortifying language practice for students.
Mathematical language routines appear throughout Into Math. Students can use their white boards to make sense of what they are learning, and prompts are embedded throughout for teachers as they support students' mathematical understanding.
Through classroom discourse, which includes listening and speaking, all aspects of mathematical thinking can be discussed, dissected, and understood. Dialogue in the classroom provides access to ideas, relationships among those ideas, strategies, procedures, facts, mathematical history, and more (Chapin et al., 2009).
Programs that engage students in discussions about how people learn, how to overcome obstacles to learning, and how to create a community of learners have shown an increase in students’ confidence, motivation, and persistence and a strengthening in students’ beliefs that they have control over their intelligence (NCTM, 2019). This approach provides the teacher with better information to use when diagnosing student difficulties, and it makes more than one “teacher” available to help students make connections (Donovan & Bransford, 2005).
When students are using language in ways that are purposeful and meaningful for themselves, in their efforts to understand—and be understood by—each other, they are motivated to attend to ways in which language can be both clarified and clarifying (Mondada & Doehler, 2004). Conversations act as scaffolds for students developing mathematical language because discussion provides opportunities to simultaneously make meaning and communicate that meaning (Mercer & Howe, 2012; Zwiers, 2014).
To foster a communicative classroom culture, Into Math provides instruction in mathematical vocabulary and language support, including a Spanish transadaptation of all mathematical terms as well as a chance to record one’s own interpretation of new academic language. Mathematical instruction is also available online, adding to the ways students can interact with new knowledge. The Standards for Mathematical Practice are varieties of expertise employed by mathematically proficient students. These standards are emphasized in all aspects of the solution, and teachers are prompted throughout to discuss them.
How Into Math Delivers
Opportunities that encourage speaking, listening, and writing about mathematics help students learn, reflect on, and refine mathematical ideas. Into Math reinforces the importance of mathematical discourse through communicating mathematically by providing math-specific vocabulary activities that encourage talking and writing mathematically and by allowing vocabulary to emerge naturally rather than frontloading it. The solution reflects and incorporates the guiding principles of mathematical language, a multilingual eGlossary (10 languages), and vocabulary cards and games in addition to numerous opportunities for writing and speaking mathematically.
In addition, through Into Math, students learn the language of mathematics through vocabulary-specific activities and guided instruction:
Specific solution features that encourage oral and written communication include the following:
Mathematical Discourse
Mathematical discourse, or talking about mathematics, is seen as an increasingly important way for students to learn and make sense of mathematics. Janzen’s 2008 review of research on teaching English learners in mathematics shares that while many perceive that math is easier for ELs to learn because it involves numbers, mathematics actually presents specific language challenges. To ensure that all students can gain access to, interpret, and share information fluently, teachers must address multiple dimensions of instruction (Kersaint, Thompson, & Petkova, 2013; Ontario Ministry of Education, 2013). When introducing academic words to English learners’ expressive vocabularies, students respond best to classrooms that are routine and offer frequent and comfortable opportunities to express what they have learned (Feldman & Kinsella, 2008).
Giving English learners a voice in the classroom increases teachers’ opportunities to get to know their students and better understand their readiness to learn. This supports the National Council of Teachers of Mathematics’ Communication Standard (2000), which notes that “the communication process also helps build meaning and permanence for ideas and makes them public” (p. 60). Classroom discussions can be organized in ways that support the acquisition of mathematics concepts and language development (Smith & Stein, 2011). Students need to learn (and practice) how to use language to clearly communicate what they know (Zwiers, 2014).
Mathematical Writing
“Reflection and communication are intertwined processes in mathematics learning...Writing in mathematics can also help students consolidate their thinking because it requires them to reflect on their work and clarify their thoughts about the ideas” (NCTM, 2000, p. 61). While they are writing, students can put concepts and procedures in their own words and reflect on learning that confuses them or makes sense to them. Students need opportunities to engage in academic discourse—and writing is an effective way to achieve this goal.
Numerous studies have emphasized the importance of writing in the mathematics classroom. David Pugalee (2005), who researches the relationship between language and mathematics learning, asserts that writing supports mathematical reasoning and problem solving and helps students internalize the characteristics of effective communication. He suggests that teachers read student writing for evidence of logical conclusions, justification of answers and processes, and the use of facts to explain their thinking. Bosse and Faulconer (2008) report that writing in the mathematics classroom results in deeper student learning.
Writing during math instruction has been found to give students more confidence in their math abilities, create more positive attitudes toward math, and help students understand complex math concepts (Furner & Duffy, 2002; Taylor & McDonald, 2007). Importantly, writing appears to benefit all students, with researchers finding benefits for both low-achieving students (Baxter, Woodward, & Olson, 2005) and high-achieving students (Brandenburg, 2002).
How Into Math Delivers
Each lesson of each module includes vocabulary learning as well as numerous prompts to engage in mathematical discourse. Students are encouraged to Turn and Talk with each lesson, and teachers are assisted with call-out boxes to guide students to connect ideas, reasoning, and language.
Mathematics can leave students feeling frustrated and overwhelmed. Every educator has heard many students exclaim, “I’m just not good at math.” All students must have the opportunity to develop their mindset. In her 2006 book Mindset: The New Psychology of Success, Carol Dweck observed that some learners assume the critical issue is whether they are inherently “smart” or not. She writes, “What puts an end to this exuberant learning? The fixed mindset. As soon as children become able to evaluate themselves, some of them become afraid of challenges. They become afraid of not being smart” (p. 16). Students with a fixed mindset about math do not see the value in putting forth the effort to learn. Students who struggle, in particular, are more likely to have a negative, fixed mindset toward their own mathematical abilities (Boaler, 2016).
Standing in contrast to the fixed mindset is growth mindset. Growth mindset is the belief that through effort and perseverance one can become better at something. Engagement, motivation, choice, ownership, and a growth mindset are positive learning behaviors that are deeply related (Dweck, 2006; Glei, 2013). In support of a growth mindset, teachers should focus on the effort that it takes to master a task or discipline—effort is the key currency, not initial aptitude. Teachers can reward students for effort rather than for being smart. As Dweck notes in Mindset: How You Can Fulfill Your Potential, being smart does not always mean you will end up the smartest (Dweck, 2012).
Dockterman and Blackwell liken this approach to the way video games work. They observe that learners need to begin by building confidence so they stick with it as the challenges increase. The authors further describe the benefits that carrying a growth mindset into instruction can bring. Their work underscores the idea that being challenged and succeeding can bring positive learning behaviors (Dockterman & Blackwell, 2014).
Jo Boaler is more specific about the effects that the growth mindset can have on learning. She notes that many studies have shown that “when students are given opportunities to pose mathematics problems, to consider a situation and think of a mathematics question to ask of it—which is the essence of real mathematics—they become more deeply engaged and perform at higher levels.” The ability to consider the application of mathematics—to consider a real problem and grapple with how to represent it mathematically—is critical to internalizing the core concepts (Boaler, 2016).
Students with a growth mindset believe that their intelligence and abilities can be developed and improved over time through effort and dedication. Clearly, students’ mindsets play an important role in their learning. Into Math embraces this ideology by providing many checkpoints for teacher feedback, ongoing communication, and countless opportunities to practice independence, apply themselves, and make progress. This progress, and the positive feedback it brings, underpin the learning mindset.
How Into Math Delivers
Into Math develops a growth mindset and encourages learning strategies that are critical to student success and confidence in math. The learning mindset is integrated into the solution by building on techniques that foster a sense of purpose, belonging, and self-efficacy in students. This integration encourages students to spark their learning and then think it through to build mastery. Students are encouraged to develop awareness of their mindsets in order to continue to grow and achieve—and to believe they can do mathematics.
Into Math fosters a growth mindset by encouraging students to seek challenges. The materials for students and the supplementary materials for teachers push students toward the sort of reflection that is critical to obtaining a growth mindset in mathematics. The exercises provide problems that allow students to apply their understanding, gathering positive feedback by demonstrating their knowledge. The teacher materials give many suggestions for sparking student discussion and further engaging learners in the process of exploration.
The student exercises and the instructor guidance create an ideal pathway for enabling students to wrestle with smaller problems and have short-term successes that build their confidence. This confidence is critical to building a growth mindset. Students need to enjoy a series of victories that underscore the mindset that grappling with problems, and tackling them, is the pathway to future successes. This solution provides the scaffolding to make that a reality.
As students develop their mindset, teachers are also building their confidence and knowledge of mathematics teaching and learning. As noted later in this report, teachers are provided with ongoing and embedded professional learning throughout Into Math.
Into Math provides ongoing, balanced assessment and reporting and harnesses digital technologies to empower teachers with data-driven decision making and tools for effective instructional planning. Into Math provides grouping and resource recommendations. This data-driven solution additionally provides critical feedback loops that encourage students’ self-assessment and reflection while freeing teachers from guesswork and time-consuming assessment reporting and subsequent material selections and planning. These approaches to evaluation of learning support optimal instructional practices and drive positive outcomes for each and every student.
Far more than a vehicle for grades, effective assessment is a powerful source of evidence regarding readiness to learn (diagnostic), for learning (formative), and of learning (summative); yet the strength of this information depends upon alignment of assessments with standards and learning goals and a representative balance among the skills, concepts, applications, and depth of knowledge assessed (Leinwand, 2020).
Assessment is an essential part of instruction and a process by which teachers can continuously gauge student understanding. Teachers can collect a variety of evidence from students before, during, and after instruction to best meet students’ needs. Assessment includes “all those activities undertaken by teachers—and by their students in assessing themselves—that provide information to be used as feedback to modify teaching and learning activities” (Black & Wiliam, 1998, p. 140). Diagnostic assessment, which takes place at the beginning of the school year or opening of a unit of instruction, is undertaken in order to provide information about individual student needs. This form of assessment guides teachers as they plan and make instructional decisions. Diagnosing students’ current knowledge and skill is essential because “what students can learn at any particular grade level depends upon what they have learned before” (National Governors Association [NGA] Center for Best Practices and Council of Chief State School Officers [CCSSO], 2010, Introduction).
We know that effective assessments are far more than just tests we use to help us grade students. Instead, effective assessments are powerful vehicles for gathering evidence of readiness to learn (diagnostic), for learning (formative), and of learning (summative). We also know that the strength and usefulness of the evidence we gather depends upon the alignment of these assessments with our standards and our learning goals, as well as upon the balance among skills, concepts, applications, and depth of knowledge found in our assessments.
Effective assessment tools allow teachers to collect data about what is working—and what is not—so they can take precise, swift, and effective action in meeting the specific needs of students. As noted by numerous research studies, the regular use of assessment to monitor student progress can mitigate and prevent mathematical weaknesses and improve student learning (Clarke & Shinn, 2004; Fuchs & Wößmann, 2004; Lembke & Foegen, 2005; Skiba, Magnusson, Marston, & Erickson, 1986). In their research, Baker, Gersten, & Lee (2002) concluded that “providing teachers and students with information on how each student is performing seems to enhance . . . achievement consistently” (p. 67).
Diagnostic assessments are beneficial to teachers because they “provide information about students’ mastery of relevant prior knowledge and skills within the domain as well as preconceptions or misconceptions about the material” (Ketterlin-Geller & Yovanoff, 2009, p. 1). Assessing students’ skills and knowledge at the beginning of the year, course, or unit enables educators to identify at-risk students or those who need additional support (Fuchs & Fuchs, 2006). Research points to the advantages of using diagnostic assessments—and tailoring instruction and supplemental practice according to the results of the diagnostics (Mayes, Chase, & Walker, 2008). In classrooms using a Response to Intervention model to support mathematics learning, effective use of screening tools and diagnostic data are essential elements for success (Lembke, Hampton, & Beyers, 2012).
Certain features make diagnostic assessment useful to educators. Bejar (1984) reviews the research and literature and argues that diagnostic assessments—computer-based diagnostic assessments—offer the possibility of analyzing patterns of student errors and identifying students’ specific deficits. Falconer Hall (1992) emphasizes that effective diagnostic assessment must be tied closely to the learning objectives, a point also emphasized in the work of Black and Dockrell (1986).
How Into Math Delivers
Into Math provides a balanced assessment system, including diagnostic, formative, and summative measures—as well as a plan for growth. This comprehensive system provides teachers and students actionable feedback they can use throughout the year to learn more about student learning and progress. A comprehensive assessment is available from every perspective to best understand, monitor, predict, and accelerate students’ mathematical learning growth.
Into Math provides specific features and tools that teachers can use for diagnostic assessment to more effectively assess students’ need for instruction. Each module begins with Are You Ready?, a brief diagnostic that focuses on strategic concepts of the module, prior knowledge, and foundational prerequisites. Teachers gain a better understanding of what students know and can do, allowing for better informed instruction. From the diagnostic assessment, the lessons build upon conceptual and procedural understanding and integrate applications to build understanding and formative checkpoints to gauge understanding where it is needed.
According to James Popham, “Formative assessment is a planned process in which assessment-elicited evidence of students’ status is used by teachers to adjust their ongoing instructional procedures or by students to adjust their current learning tactics” (Popham, 2008). Assessment should be ongoing, “more than merely a test at the end of instruction to see how students perform under special conditions; rather, it should be an integral part of instruction that informs and guides teachers as they make instructional decisions” (NCTM, 2000, p. 1).
A body of research demonstrates the positive impacts that ongoing, formative assessment has on student learning (Black & Wiliam, 1998; Cotton, 1995; Jerald, 2001); “providing teachers and students with information on how each student is performing seems to enhance . . . achievement consistently” (Baker, Gersten, & Lee, 2002, p. 67). Regular monitoring of students’ progress in mathematics has been shown to mitigate and prevent problems and improve learning (Clarke & Shinn, 2004; Fuchs & Wößmann, 2004; Lembke & Foegen, 2005; Skiba et al., 1986).
Effective teachers monitor student learning through informal, low-stakes assessments—such as short questions and homework assignments—and informal measures—such as discussion and observation (Cotton, 1995; Christenson, Ysseldyke, & Thurlow, 1989). This kind of ongoing assessment must be curriculum based; because curriculum-based assessment rationally relates to the instructional objectives and can inform instructional decisions related to student difficulties, it can lead to higher student achievement (Jones, Wilson, & Bhojwani, 1997).
Numerous studies have shown that this use of regular, formative assessment positively impacts student learning and achievement. Baker et al. (2002) conducted a meta-analysis on the subject of formative assessment in the math classroom and found that achievement increased as a result of regular assessment use: “One consistent finding is that providing teachers and students with specific information on how each student is performing seems to enhance mathematics achievement consistently. The effect of such practice is substantial” (p. 67).
A review of high-quality studies on formative assessment led the National Mathematics Advisory Panel (2008) to conclude that “use of formative assessments benefited students at all ability levels” (p. 46). But a specific benefit of formative assessment may be that it has been shown to be particularly helpful to lower-performing students. Gersten et al. (2007) found that “the use of ongoing formative assessment data invariably improved mathematics achievement of students with mathematics disability” (p. 2). For this reason, the use of formative assessments can serve to minimize achievement gaps while raising overall achievement (Black & Wiliam, 1998).
How Into Math Delivers
The Into Math assessment system also includes the following informal classroom measures, which are embedded into the solution to help teachers gauge student understanding before and during instruction:
As the lessons build upon conceptual and procedural understanding and integrate applications to build understanding and to differentiate instruction, further formative measures are embedded throughout to support teachers’ efforts to differentiate instruction. Formative Assessment built into each lesson gives teachers the ability to quickly assess understanding. The solution’s assessment system includes these measures:
Into Math provides opportunities for formative assessment, which are embedded throughout instruction. Teachers can use what they learn to best group students and provide targeted and specific intervention or enrichment where it is needed, when it is needed. In addition, Test Prep is available within the lesson as part of the homework, and the Getting Ready for High-Stakes Assessment provides test prep.
Many times, the term summative assessment is associated with high-stakes testing, but there is a role for summative assessments in the classroom because they act as an additional constructive measure. “Tests given in class...are also an important means of promoting feedback. A good test can be an occasion for learning” (Black & Wiliam, 1998, p. 8). When summative results are elicited and interpreted—and teachers take action on that interpretation—that “action will then (directly or indirectly) generate further evidence leading to subsequent interpretation and action, and so on” (Wiliam, 2000, Presentation). Teachers can use summative assessments as another measure, another point in time, and another means by which to best evaluate student understanding. As part of an integrated assessment system, summative measures can also help teachers shape instruction and differentiate to personalize learning.
Summative assessments are also useful as accountability measures for grading and gauging student learning against a set of standards or expectations. Summative assessments provide evaluative information to teachers about the effectiveness of their instructional program. Classroom summative assessments also appear to have the potential to positively impact learning (Moss, 2013). When students have a handle on what they can do, they can be encouraged and motivated to move forward in their learning.
Houghton Mifflin Harcourt’s Into Math offers robust summative assessments in the form of Interim Growth Measures. Measuring student growth is possible through scaled scores, which are specific to the learning goals and show growth over time. Scales use the concept of formative assessment in looking at everything we use to measure student growth. Scales can show growth over time even if instructional targets change. By adding scales to classroom practice, teachers can easily use assessments to provide specific feedback to students about their progress toward the learning goals and to advance to higher-level mathematical thinking.
How Into Math Delivers
The Into Math assessment system includes continuous growth monitoring through regular check-ins. Growth reports are available digitally on Ed: Your Friend in Learning^{®} and provide detailed analyses of student performance. Into Math is powered by Math Inventory^{®}, adaptive math assessments that measure growth and longitudinal progress. In addition, HMH has partnered with Renaissance Learning^{®} so Into Math can provide an integrated approach to differentiation and predictive measures for student growth. Within a school year and across school years, growth monitoring ensures that students have the skills to meet the mathematics standards and advance to higher-level mathematical thinking.
Mathematics instruction must meet the needs of each and every student. To accomplish this, teachers must employ effective instructional strategies and follow an intentional sequence, scaffolding instruction so that all students can access the information. Into Math centers on helping students gain a deeper understanding of mathematics by incorporating tactics to meet their varying needs through strong differentiation supports. In addition to providing equitable access to learning, the solution aims to promote learning about students and using their experiences to facilitate learning. Teachers are given the tools to help create supportive classroom environments to facilitate the deep learning of mathematics for all.
All students must have opportunities to study—and support to learn—mathematics. Equity does not mean students should receive identical instruction; instead, it requires that reasonable and appropriate accommodations be made as needed to promote access and attainment for all students (NCTM, 2014).
In the classroom, teachers are challenged to support the diverse needs of students. As Vygotsky (1978) noted in his seminal research on learning, “Optimal learning takes place within students’ ‘zones of proximal development’—when teachers assess students’ current understanding and teach new concepts, skills, and strategies at an according level” (p. 86). Research continues to support the notion that for learning to take place, activities must be at the right level for the learner (Tomlinson & Allan, 2000; Valencia, 2007). Teachers must personalize students’ needs for instruction and additional support, which includes examining levels that are just outside or beyond what the student has already mastered—encouraging and motivating students forward.
Most important, instruction must meet the needs of each and every student. To achieve this universal access, teachers must employ effective assessment practices, diagnose student needs, and assess progress regularly. Teachers must teach intentionally, scaffolding instruction so all students can access the information. Universal design and differentiation are terms used to describe two related and complimentary approaches to meeting the needs of each and every student in the classroom.
In universal design, the needs of all students are considered at the point of instructional design; methods, materials, and assessments (diagnostic, formative, low-stakes) are created to recognize and address the wide range of student needs. In differentiation, modifications take place at the point of instruction; in differentiating instruction, teachers are responsive to what happens in the classroom and are “flexible in their approach to teaching and adjust the curriculum and presentation of information to learners rather than expecting students to modify themselves for the curriculum” (Strangman, Hall, & Meyer, 2004).
Learning About Students
Students in today’s classrooms come from increasingly diverse backgrounds in regard to culture and language as well as in their background knowledge, abilities, motivations, interests, and modes of learning (Tomlinson, 2005). Mathematical learning is important to each of these different students: “All young Americans must learn to think mathematically, and they must think mathematically to learn” (NCR, 2001, p. 1). To effectively teach mathematics skills and concepts, teachers of mathematics must be knowledgeable of, and sensitive to, the needs of all learners in the mathematics classroom.
To create an environment in which the barriers that limit comprehensive student access to learning are removed, teaching allows for flexible methods of presentation, expression, and engagement by offering multiple examples, employing multiple media and formats, engaging in supported practices, and allowing flexible opportunities for demonstrating skill (Strangman, Hall, & Meyer, 2004; Shaw, 2011). Technology can be particularly beneficial to allow for such flexibility (Hitchcock, Meyer, Rose, & Jackson, 2002).
Lawrence-Brown (2004) notes that in instruction, it is important to leverage students’ experiences and background. The research notes, “Children whose experiences are devalued or unrecognized become alienated and disengaged from the learning process.” On the other hand, incorporating the experiences of students can enhance their learning. They observe that learning outcomes improve when “students are seen as having knowledge and experiences that, if tapped, will accelerate their learning.”
“We argue that students need to learn mathematics in light of who they are and the diverse gifts that they bring to their experiences every day” (Aguirre, Mayfield-Ingram, & Martin, 2013).
Creating Classroom Environments
Students must be socially, emotionally, and academically safe. Given the acknowledged diversity of student preparation and background, personal and familial conditions, and cultural environment, this is more than challenging. For some students, the classroom is naturally safe, but this is certainly not the case for all. Studies suggest that some students do better or participate more frequently in classrooms with cooperative learning projects and open discussions. For instance, for students from supportive and interdependent ethnic minority communities, competitive learning environments can cause feelings of isolation or alienation (Wlodkowski & Ginsberg, 1995).
Critically, students must be engaged in the productive perseverance that motivates and underpins the introduction of new concepts in a given module. This process and discourse cannot be derailed by failing to include all students’ perspectives. If a student is stymied in this phase of the process, then it is unlikely that he or she would continue to embrace a learning mindset about this particular topic. Thus, the classroom environment must be safe and conducive to learning for each and every student to motivate a growth mindset.
How Into Math Delivers
Into Math is built on principles of equity. The solution is designed to engage students based on their experiences and to leverage their diverse backgrounds to promote discussion. Students are motivated by being asked to share about themselves while setting the stage for the lesson.
The Turn and Talk portion of the lessons encourages students to reflect and discuss in small groups. This facilitates sharing of opinions. When student opinions and perspectives are heard and valued, students become more engaged in the learning process.
The solution is intentionally designed with specific mechanisms built in to Activate Prior Knowledge. Again, engaging students in learning challenges with references to their own experiences and knowledge is critical to motivating and activating their learning.
Finally, the most critical aspect of providing an equitable learning environment is supporting students of various levels through differentiated instruction. The teacher materials provide clear and intentional checkpoints for formative assessment. These checkpoints guide the differentiated aspects of the lesson, which are essential to instruct each and every student. Further, these can indicate potential issues to trigger interventions as necessary.
At the same time, students of higher abilities are not excluded. The differentiated materials provide additional challenges for students who have mastered the base material. Equity cannot be achieved by simply teaching to the middle—each and every learner must be supported in their quest for mathematical learning.
With ever-evolving standards and classroom needs, monitoring growth thoroughly, thoughtfully, and easily through a comprehensive assessment system becomes increasingly significant. Into Math Assessment Solutions give teachers what they need to personalize instruction and prepare students with the right skills to keep them growing.
Dacey, Lynch, and Salemi (2013) describe differentiation as “a philosophy of teaching based on the belief that all learners are different and that all students are capable of learning” (pp. 5–6). In the classroom, teachers encounter students who are on grade, above grade, below grade—as well as English learners, students with special needs, students who are gifted, and students with varying learning styles and cultural backgrounds. In the mathematics classroom, “mathematics instructors must respond to the diverse needs of individual students...using differentiated instruction, a process of proactively modifying instruction based on students’ needs” (Chamberlin & Powers, 2010, p. 113).
Differentiating instruction is an organized but flexible way to alter teaching and learning to help all students maximize their learning (Tomlinson, 1999) and is necessary in order to meet the needs of all learners in today’s diverse classrooms (Tomlinson, 2000). To differentiate instruction, teachers can adjust the content of what is being learned, adjust the process of learning (by providing additional supportive strategies, for example, or adjusting pacing), and tailor the expected outcomes (assessments, products, or tasks) of how learning is assessed (Tomlinson, 2001). Teachers can have students work in groups to help support the development of their listening and speaking skills while increasing mathematical understanding (Garrison & Mora, 1999). Dacey, Lynch, and Salemi (2013) point out that “like all language skills, learning the language of mathematics is an important goal for all students and can remove barriers to learning mathematical ideas” (p. 149).
Research points to the benefits of differentiation. In a study of numerous teachers using differentiated instruction, researchers found these benefits: students felt learning was more relevant; students were motivated to stay engaged in learning; students experienced greater success; students felt greater ownership of content, products, and performances; and teachers gained new insights (Stetson, Stetson, & Anderson, 2007). Tomlinson and Allan purport that in order for learning to take place, activities must be at the right level for the learner (Tomlinson & Allan, 2000; Valencia, 2007).
While differentiation is a component of effective instruction, it is no small charge. Classroom teachers have students with varying needs; some need more help, and some need to work alone. It is up to the teacher to make these decisions, which are difficult, and some teachers might not have the experience or training to do so—making it more challenging. But teachers want to be successful and support each and every student (Small, 2012). As Marian Small notes, “Understanding differences and differentiating instruction are important processes for achievement of that goal” (p. 1). Houghton Mifflin Harcourt’s Into Math provides a wide range of resources designed to differentiate instruction and meet the needs of each and every student throughout the lesson design.
How Into Math Delivers
Into Math meets the needs of each and every learner. Differentiation in Into Math supports teachers in implementing instruction that meets the varied needs of students in their classrooms. With Into Math, practical, point-of-use support is built into each lesson so all learners can achieve success. The solution’s Student Edition allows students to explore concepts, take notes, answer questions, and complete homework, thus encouraging active learning. Additional videos, activities, and learning aids support students at the point of use in the print and online textbook, supporting students’ various learning styles. While print and digital are both available to meet schools’ needs, robust real-time data and analytics are thorough digital options and are a great value to schools.
Multiple solution features, employing varied and flexible multimedia formats to support differentiated instruction, occur throughout Into Math. These include the Plan for Differentiated Instruction, which contains numerous literature, games, and activities for everyday use in the classroom in tailoring instruction to meet students’ needs. There are also ready-to-use readers, games, and Math Center activities that are designed for flexible usage. Readers integrate math skills with cross-curricular content. Games engage students to practice math skills. Math Center activities focus on computation, mental math, geometry, measurement, and challenge activities.
In addition, these features help teachers meet the needs of all students:
Research shows positive effects on student achievement when digital learning is embedded. Into Math employs digital learning to engage students and increase their learning and achievement and to provide teachers with opportunities for additional options and variation in instructional delivery. Students can watch videos to evaluate their work, practice in a testing environment similar to high-stakes assessment, and engage in games. There are also interactive tools for Spanish speakers and tools for home to further support instruction and enhance student learning.
Technology has long been part of the K–12 learning environment, yet technology changes rapidly, and new opportunities for mathematical teaching and learning are constantly emerging. Technology has been shown to be a powerful tool in the classroom across grade levels, content areas, and student abilities. The use of technology in the classroom has been shown to support teaching and learning. In fact, Weber and Kieschnick (2016) argued that 21st-century learning necessitates that teachers integrate technology strategically, as properly implemented educational technology elevates teacher practices.
A large number of systematically designed research studies have been conducted to answer the question of whether students learn more deeply from words and visuals than from written or verbal messages alone. Weiss, Kramarski, and Talis (2006) examined the impact of multimedia activities on the mathematics learning of young children and found that students who engaged in digital learning, individually or in groups, significantly outperformed control-group students. Much research concludes that visual images and/or audio along with text have positive impacts on student learning (Mayer, 2001). Researchers who have subsequently tested Mayer’s results have agreed with his findings. Liu (2012) designed a study in which elementary students participated in multimedia mathematics instruction and found that the participants scored significantly higher after the intervention. Further, in a meta-analysis conducted by the U.S. Department of Education, it was determined that on average, students in online learning conditions performed better than those receiving face-to-face instruction (U.S. Department of Education, 2010).
One particular benefit of technology-based approaches to instruction is that they appear to be effective across different types of learners (Means, Toyama, Murphy, Bakia, & Jones, 2009). Technology-based multimedia learning opportunities have been shown to narrow achievement gaps between student groups and to be effective with average and lower-achieving students (Huppert, Lomask, & Lazarowitz, 2002; White & Frederiksen, 1998).
As technology’s capabilities have continued to advance, more schools and teachers are turning toward models of instruction that incorporate technology. These models of instruction “entail selecting, designing, and implementing instructional models that leverage technology and best teaching practices effectively” (Digital Convergence, 2018, p. 8). The Modern Curriculum requires “redesigning existing curriculum to incorporate digital content within the instructional framework” (p. 9) and requires that teachers have “education on how to use the chosen technology, and in the context of the instructional model and modern curriculum” (p. 11). ”Technological tools and instructional strategies offer teachers the ability to transform their teaching, providing students with a plethora of benefits,” (Delgado, Wardlow, McKnight, & O’Malley, 2015, p. 410). Houghton Mifflin Harcourt’s Into Math provides digital learning as part of its model and curriculum to support the modern classroom.
In the modern world, it is important to consider the status quo of today’s students. As noted by Weston Kieschnick (2017), blending new technologies into instruction is necessary. Effective instruction is that which is fused with useful and purposeful technology and teacher knowledge and wisdom. This solution does not venture to use technology because technology is here and now; rather, this solution encourages teachers to create a purposeful teaching plan with outcomes while integrating technology strategically (Kieschnick, 2017).
How Into Math Delivers
Into Math focuses on innovative technology to personalize instruction for all students. While a wide variety of materials is available online, some key features include:
Into Math features effective approaches to professional learning that support teachers in becoming developers of high-impact educational experiences for their students. Comprehensive blended professional learning solutions are data and evidence driven, mapped to instructional goals, and centered on students—and they build educators’ collective capacity. HMH allows teachers to achieve agency in their professional growth with purposeful, embedded, ongoing professional learning and effective instructional strategies relevant to everyday teaching.
Teachers’ professional learning should be high-quality, ongoing, and accessible to help all students develop mathematical proficiency. Research on teacher learning shows that one core feature of effective professional learning is that it must be ongoing and based on a clear framework. Student learning goals should be clear; teachers should observe what is happening in the classroom, assess how teaching has impacted students, and then modify and improve teaching (Hiebert et al., 2007). Effective professional learning is embedded and ongoing as part of a wider reform effort, rather than as an isolated activity or initiative (Darling-Hammond et al., 2009; Garet et al., 1999). “The duration of professional learning must be significant and ongoing to allow time for teachers to learn a new strategy and grapple with the implementation problem” (Gulamhussein, 2013, p. 3).
Teachers’ professional knowledge and capacities develop throughout their careers as they interact with more students, participate in professional learning opportunities, and make use of research-based, educative print and online resources. One way of thinking about this growth is movement from being a novice teacher toward being one who demonstrates mastery (Snow, Griffin, & Burns, 2005). Novices depend almost entirely on declarative knowledge—what they learned in their teacher education program. The process of working toward professional mastery increases stores of what have been called “expert/adaptive” knowledge and “reflective” knowledge. Master teachers have the procedural knowledge—strategies and practices—to deal successfully with a full array of instructional challenges and to then evaluate, analyze, and reflect upon their effectiveness (Snow et al., 2005).
In addition to teachers’ own tendencies to evaluate and analyze their practice, many external factors and experiences contribute to their development as professionals. Feedback from principals, colleagues, coaches, parents, and students contribute significantly to an individual teacher’s professional growth (Hattie & Timperley, 2007).
As with student learning, teacher learning is part of a long and complex process. In fact, as noted in an article on teacher learning, “Some schools have begun to create new models of induction...and ongoing professional learning for teachers and principals” (Garet et al., 1999, p. 921). Providing teachers the opportunity to learn—sustained over time—allows for in-depth discussion and study, as well as the chance to try out new strategies and approaches. In their research, Garet et al. looked at the impact of duration on teacher learning and found that it has a substantial positive impact on opportunities for active learning and has a moderately positive influence on content knowledge (1999).
Research indicates that an approach consisting of a single-session workshop independent from job-embedded learning will likely have minimal impact (Ball & Cohen, 1999; Gulamhussein, 2013). In a meta-analysis of research on teacher training, Joyce and Showers (2002) found that when professional learning consisted only of theory and discussion of a targeted practice—such as through a workshop session—gains in knowledge and ability to demonstrate the new skills were modest in the transfer to actual classroom situations. However, demonstration, practice, and feedback—such as through follow-up and coaching—combined with theory and discussion yielded more substantial gains. Joyce and Showers (2002) also emphasized that on average, teachers may make 20 or more attempts to implement a new instructional practice before it becomes effective, and this number is likely higher when the skill is exceptionally complex. This means that teachers must see enough value in the content of their professional learning sessions to put them to use in their classrooms and work toward mastery; this process is the same one students use when learning new, challenging strategies, skills, and concepts. Fortunately, the transfer rate of learning for teachers is much higher when instruction and practice are coupled with coaching. In Visible Learning, John Hattie (2009) summarizes and explains the findings of his metastudy and notes that microteaching has a strong influence on student achievement. Hattie describes microteaching as a practice that typically involves teachers conducting short, or micro, lessons to a small group of students and then engaging in a discussion about the lessons, with the goal of improving teaching methods.
How Into Math Delivers
The resources provided throughout Into Math support teachers as they guide all students’ learning in mathematics. The Teacher’s Editions offer many ongoing strategies that teachers can incorporate into instruction on the spot and provide opportunities for professional learning.
Each lesson provides teachers these techniques:
In addition, there are specific Professional Learning reminders embedded in the Teacher’s Edition. Teachers gain a wealth of support by having professional learning opportunities built into the solution, which can be accessed at any time. Then teachers are empowered to decide which approaches or resources to use in particular contexts.
Another approach that Into Math offers is providing teachers with sample scenarios they can model while working with students. These prompts help teachers look at student work and support students as they decide what action to take. Similarly, embedded prompts help teachers assess Common Errors students might make when working to solve problems.
As research has shown for years, traditional forms of professional learning, like one-day workshops, are not effective, usually resulting in minimal impact (Bush, 1984). However, with continued interest in improving teaching and learning, there is strong awareness surrounding teachers’ professional learning. Hattie’s work in Visible Learning (2009) revealed a core set of instructional methods that have a high impact on student achievement. It is important that teachers are clear about what they want their students to learn; adopt evidence-based teaching strategies; monitor their impact on students’ learning and adjust their approaches accordingly; and actively seek to improve their own teaching.
“Educators have known for decades that modeling is an important component of learning, and numerous research studies have demonstrated the power of modeling” (Knight et al., 2015, p. 110). Effective modeling of targeted instructional practices is purposeful and deliberate and is based on research (Taylor & Chanter, 2016). Gulamhussein (2013) reports that “Modeling has been shown to be particularly successful in helping teachers understand and apply a concept and remain open to adopting it” (p.17).
According to a large-scale survey commissioned by the Bill & Melinda Gates Foundation (2014), teachers seek more opportunities to be coached in learning new practices and instructional techniques, believing these professional learning efforts are more valuable. And what does Knight’s research reveal about how teachers respond to modeling efforts? “At the Center for Research on Learning, we have completed two studies to capture teachers’ perceptions of the value of model lessons. The results of both studies strongly support . . . [that] modeling is where the rubber meets the road” (Knight, 2009, p. 116).
The most effective professional learning affirms what the Center for Public Education refers to as the “dual roles teachers play”: teachers as technicians and teachers as intellectuals (Gulamhussein, 2013, p. 20). Teachers who are strong technically can draw on reserves of procedural knowledge to tailor instruction to their students’ needs. As intellectuals, teachers are empowered to reflect on theory, research, and their practice to innovate and implement new instructional strategies and approaches. This process of reflection can lead to teachers turning to their colleagues for advice and clarification—a process sometimes called “collective sense-making” (Coburn, 2005). Research shows that collective sense-making, often in the form of professional learning communities, can be a powerful motivator for school improvement.
Teachers who seek to improve their practice and student outcomes can also turn to print, online, and in-person resources to help them continue successfully on their path toward professional mastery; this process represents blended learning, which has the advantage of allowing teachers to control the place, pace, and path of learning. Individually and collaboratively, they engage in a process sometimes called “self-coaching that addresses the common question: ‘The professional development is over, so now what?’” (Wood, Kissel, & Haag, 2014). There are five steps to self-coaching, and they represent high-quality teaching. They include:
How Into Math Delivers
Throughout Into Math there are opportunities for teachers to collaborate and talk about the many strategies and practices they are learning. However, one key feature that this solution offers is the chance to watch videos of actual practitioners modeling these very strategies and practices. Teachers are guided through learning by real-world situations.
Getting Started modules are provided to offer teachers on-demand learning opportunities. The interactive, asynchronous modules focus on key topics to help teachers successfully get started with Into Math.
A critical component to teachers’ professional services and learning is that teachers have on-demand access. Early research has shown that online, sustained professional learning can have a positive impact on teaching and learning (Bahr, Shaha, Farnsworth, Lewis, & Benson, 2004; Benson, Farnsworth, Bahr, Lewis, & Shaha, 2004; Magidin, Masters, O’Dwyer, Dash, & Russell, 2012; Rienties, Brouwer, & Lygo-Baker, 2013; Cho & Rathbun, 2013). The positive impact continues as learners become decision makers about their path, place, and pace. Providing teachers with professional learning opportunities that are readily and easily available allows for flexibility in time and need—again, supporting learners to control path, place, and pace. Teachers can access the resources they need based on their own schedules, and they can determine which resources best suit their needs.
A study of the effects of on-demand, online professional learning conducted by Shaha and Ellsworth (2013) found that higher levels of teacher engagement (e.g., quantity and quality of utilization and participation) correlates with higher student achievement and successes for educators and schools (e.g. teacher retention, student discipline). Conclusions were that higher levels of teacher utilization, engagement, and active use are correlated with higher student achievement and successes for educators and schools” (p. 19).
One specific type of online, on-demand resource that has shown benefits is the use of videos or clips for professional learning. Viewing video clips allows teachers the opportunity to reflect on instructional practices and content (Marzano, Pickering, & Pollock, 2012). As noted by Hiebert et al. (2003), using video clips or recordings can also reinforce the message that teaching mathematics is not just an isolated practice—reflecting on instruction is an opportunity to improve professionally. Further, a study conducted by the Harvard University Center for Education Policy (2012) revealed that the use of video technology can help teachers engage in the process of opening instruction to observation and feedback to improve instruction.
Researchers who study professional learning that supports teachers in effective improvement of practice remind professional learning developers and providers that teachers’ active involvement may make them feel vulnerable because they are being asked to take the stance of “learner.” As Bryk, Gomez, Grunnow, and LeMahieu (2015) noted in a study of reform efforts that included professional learning, positive changes happen in the presence of teachers’ “good will and engagement,” which is often rooted in teachers having choice and autonomy in their own learning. These qualities are essential whether teachers meet for large group professional learning, attend professional learning communities within their schools, or work on their own to find experts to guide them through self-study with print or online resources.
How Into Math Delivers
The professional learning components included throughout Into Math provide continued, coherent support for teachers to improve student learning. Teachers are provided with the following:
In this paper, we have demonstrated how HMH Into Math © 2020 aligns with research-based principles and practices for high-quality, highly effective mathematics instruction. With its flexible design, including expanded access to rich and varied digital resources, support of productive perseverance and a growth mindset, and engaging and rigorous texts throughout, Into Math provides a cohesive, innovative solution that builds intellectual stamina and tenacity while developing mathematical thinkers, problem solvers, and communicators.
Into Math features student-centered learning that encompasses and integrates procedural fluency and conceptual understanding, tasks that require high cognitive demand, routines for reasoning, and more. The solution is also data driven, providing a comprehensive, balanced assessment system to ensure teachers help students meet targeted learning goals. Finally, the solution is supported by ongoing professional learning for teachers, including modeling and coaching to maximize educator agency and accommodate individual students.
Into Math addresses the needs of today’s classrooms and the requirements of tomorrow’s world to better prepare students for college, career, and citizenship.
Achieve. (2010). Comparing the Common Core State Standards in Mathematics and NCTM’s Curriculum Focal Points. Washington, DC: Author. Retrieved February 8, 2018, from http://www.achieve.org/CCSSandFocalPoints.
Aguirre, J., Mayfield-Ingram, K., & Martin, D. (2013). The impact of identity in K–8 mathematics learning and teaching: Rethinking equity-based practices. Washington, DC: National Council of Teachers of Mathematics.
Ames, C. (1992). Classrooms: Goals, structures, and student motivation. Journal of Educational Psychology, 84, 261–271.
Bahr, D. L., Shaha, S. H., Farnsworth, B. J., Lewis, V. K., & Benson, L. F. (2004). Preparing tomorrow’s teachers to use technology: Attitudinal impacts of technology-supported field experience on preservice teacher candidates. Journal of Instructional Psychology, 31(2), 88–97.
Baker, S., Gersten, R., & Lee, D. (2002). A synthesis of empirical research on teaching mathematics to low-achieving students. The Elementary School Journal, 103(1), 67.
Ball, D. L. (1990). Breaking with experience in learning to teach mathematics: The role of a preservice methods course. For the Learning of Mathematics, 10(2), 10–16.
Ball, D. L., & Cohen, D. K. (1999). Developing practice, developing practitioners: Toward a practice-based theory of professional education. In G. Sykes, & L. Darling-Hammond (Eds.), Teaching as the learning profession: Handbook of policy and practice (pp. 3–32). San Francisco, CA: Jossey Bass.
Baxter, J., Woodward, J., & Olson, D. (2005). Writing in mathematics: An alternative form of communication for academically low-achieving students. Learning Disabilities Research & Practice, 20, 119–135.
Beane, J. A. (1997). Curriculum integration: Designing the core of democratic education. Alexandria, VA: Association for Supervision and Curriculum Development.
Bejar, I. (1984). Educational diagnostic assessment. Journal of Educational Measurement, 21, 175–189.
Benson, L. F., Farnsworth, B. J., Bahr, D. L., Lewis, V. K., & Shaha, S. H. (2004). The impact of training in technology assisted instruction on skills and attitudes of pre-service teachers. Journal of Elementary Education, 124(4), 649–663.
Bill & Melinda Gates Foundation. (2014). Teachers know best: Teachers’ views on professional development. Seattle, WA: Author.
Black, H. D., & Dockrell, W. B. (1986). Diagnostic assessment in the secondary school. Edinburgh: SCRE Publications.
Black, P., & Wiliam, D. (1998). Assessment and classroom learning, assessment in education. Principles, Policy & Practice, 5(1), 7–74.
Boaler, J., & Staples, M. (2008). Creating mathematical futures through an equitable mathematics approach: The case of Railside School. Teachers College Record, 110(3), 608–645.
Boaler, J. (2016). Mathematical mindsets: Unleashing students’ potential through creative math, inspiring messages and innovative teaching. San Francisco, CA: Wiley Digital.
Bosse, M. J., & Faulconer, J. (2008). Learning and assessing mathematics through reading and writing. School Science and Mathematics, 108, 8–19. doi:10.1111/j.1949-8594.2008.tb17935.x.
Brandenburg, Sr., M. L. (2002). Advanced math? Write! Educational Leadership, 60(3), 67–68.
Bransford, J. D., Brown, A. L., & Cocking, R. R. (Eds.). (1999). How people learn: Brain, mind, experience, and school. National Research Council. Washington, DC: National Academies Press.
Bryk, A., Gomez, L. M., Grunnow, A., & LeMahieu, P. G. (2015). Learning to improve: How America’s schools can get better at getting better. Cambridge, MA: Harvard Education Press.
Bush, R. N. (1984). Effective staff developments in making our schools more effective: Proceedings of three state conferences. San Francisco, CA: Far West Laboratories.
Caine, R. N., & Caine, G. (1991). Making connections: Teaching and the human brain. Alexandria, VA: Association for Supervision and Curriculum Development.
Chamberlin, M., & Powers, R. (2010). The promise of differentiated instruction for enhancing the mathematical understandings of college students, teaching mathematics and its applications. International Journal of the IMA, 29(3), 113–139. https://doi.org/10.1093/teamat/hrq006.
Chapin, S., O’Connor, C., & Anderson, N. (2009). Classroom discussions: Using math talk to help students learn, Grades K–6. Sausalito, CA: Math Solutions.
Charles, R. I. (2005). Big ideas and understandings as the foundation for elementary and middle school mathematics. Journal of Mathematics Education Leadership, 7(3), 9–24.
Cho M., & Rathbun, G. A. (2013). Implementing teacher-centered online teacher professional development (oTPD) programme in higher education: A case study. Innovations in Education and Teaching International, 50(2), 144–156. http://opus.ipfw.edu/celt_facpubs/4.
Christenson, S. L., Ysseldyke, J. E., & Thurlow, M. L. (1989). Critical instructional factors for students with mild handicaps: An integrative review. Remedial and Special Education, 10(5), 21–31.
Clarke, B., & Shinn, M. (2004). A preliminary investigation into the identification and development of early mathematics curriculum-based measurement. School Psychology Review, 33, 234–248.
Clarke, S., Timperley, H., & Hattie, J. (2004). Unlocking formative assessment: Practical strategies for enhancing students’ learning in the primary and intermediate classroom. Auckland, New Zealand: Hodder Moa Beckett.
Clements, D., Sarama, J., & DiBiase, A. (2004). Engaging young children in mathematics standards for early childhood mathematics education. Mahwah, NJ: Lawrence Erlbaum Associates.
Cobb, P., & McClain, K. (2001). Supporting teachers’ learning. In F. L. Lin & T. J. Cooney (Eds.), Making sense of mathematics teacher education (pp. 207–231). Netherlands: Kluwer Academic Publishers.
Cobb, P., & Jackson, K. (2011). Towards an empirically grounded theory of action for improving the quality of mathematics teaching at scale. Mathematics Teacher Education and Development, 13(1), 6–33.
Coburn, C. E. (2005). Shaping teacher sensemaking: School leaders and the enactment of reading policy. Education Policy, 19(3), 476–509.
College Board. (2011). Forty-three percent of 2011 college-bound seniors met SAT college and career readiness benchmark [Press release]. Retrieved from http://press.collegeboard.org/releases/2011/43-percent-2011-college-bound-seniors-met-sat-college-and-careerreadiness-benchmark.
Cooney, T. J. (2001). Considering the paradoxes, perils, and purposes of conceptualizing teacher development. In F. L. Lin & T. J. Cooney (Eds.). Making sense of mathematics teacher education (pp. 9–31). Netherlands: Kluwer Academic Publishers.
Cotton, K. (1995). Effective schooling practices: A research synthesis 1995 update. Retrieved March 10, 2018, from http://www.kean.edu/~lelovitz/docs/EDD6005/Effective_School_Prac.pdf.
Dacey, L., Lynch, J., & Salemi, R. (2013). How to differentiate your math instruction: Lessons, ideas, and videos with Common Core support: A multimedia professional learning resource. Sausalito, CA. Math Solutions.
Darling-Hammond, L., Wei, R., Andree, A., Richardson, N., & Orphanos, S. (2009). Professional learning in the learning profession. Journal of Staff Development, 30(2), 42–44, 46–50, 67.
Delgado, A. J., Wardlow, L., McKnight, K., & O’Malley, K. (2015). Educational technology: A review of the integration, resources, and effectiveness of technology in K–12 classrooms. Journal of Information Technology Education: Research, 14, 397–416. Retrieved on January 30, 2018, from http://www.jite.org/documents/Vol14/JITEv14ResearchP397-416Delgado1829.pdf.
Digital Convergence. (2018). The path toward the K–12 modern learning environment. Retrieved on March 7, 2018, from https://static1.squarespace.com/static/598a2751bf629a21080541f8/t/5a7b1d8ae4966bd8be37b713/1518017933889/digital-convergence-whitpaper.pdf.
Digital Promise Global. (2016). The growing diversity in today’s classroom. Retrieved from http://digitalpromise.org/wp-content/uploads/2016/09/lps-growing_diversity.
Dixon, J. K. An administrator’s six spheres of influence in mathematics teaching and learning. Retrieved April 26, 2018, from https://www.hmhco.com/blog/an-administrators-6-spheres-of-influence-in-mathematics-teaching-and-learning.
Dixon, J. (in press-a). Creating a learning arc. In Into Math planning and pacing guide (p. PG9). Boston, MA: Houghton Mifflin Harcourt.
Dixon, J. (in press-b). Promoting perseverance. In Into Math planning and pacing guide (p. PG13). Boston, MA: Houghton Mifflin Harcourt.
Dockterman, D., & Blackwell, L. (2014). Growth mindset in context: Content and culture matter too. Retrieved from http://www.leadered.com/pdf/GrowthMindset.pdf.
Donovan, M. S., & Bransford, J. D. (2005). How students learn: History, mathematics, and science in the classroom. Washington, DC: The National Academies Press.
Dweck, C. S. (1999). Essays in social psychology. In Self-theories: Their role in motivation, personality, and development. New York, NY: Psychology Press.
Dweck, C. S. (2006). Mindset: The new psychology of success. New York, NY: Random House.
Dweck, C. S. (2012). Mindset: How you can fulfill your potential. London: Constable & Robinson.
Feldman, K., & Kinsella, K. (2008). Narrowing the language gap: The case for explicit vocabulary instruction in secondary classrooms. In L. Denti & G. Guerin (Eds.), Effective practices for adolescents with reading and literacy challenges (pp. 3–24). New York, NY: Routledge.
Fosnot, C., Twomey, G., & Jacob, W. (2010). Young mathematicians at work constructing algebra. Portsmouth, NH. Heinemann.
Franke, M. L., Kazemi, E., & Battey, D. (2007). Understanding teaching and classroom practice in mathematics. In F. K. Lester (Ed.), Second handbook of research on mathematics teaching and learning (pp. 225–256). Charlotte, NC: Information Age.
Fuchs, T. & Wößmann, L. (2004). Computers and student learning: Bivariate and multivariate evidence on the availability and use of computers at home and at school, CESifo Working Paper Series 1321, CESifo Group Munich, 93–99. https://www.cesifo-group.de/Do...
Fuchs, D. & Fuchs, L. S. (2006). Introduction to response to intervention: What, why, and how valid is it? Reading Research Quarterly, 41(1).
Furner, J. M., & Duffy, M. L. (2002). Equity for all students in the new millennium: Disabling math anxiety. Intervention in School and Clinic, 38(2), 67–74.
Fuson, K. C., Kalchman, M., & Bransford, J. D. (2005). Mathematical understanding: An introduction. In M. S. Donovan & J. Bransford (Eds.), How students learn mathematics in the classroom (pp. 217–256). Washington, DC: National Research Council.
Garet, M., Birman, B., Porter, A., Desimone, L., Herman, R., & Yoon, S. K. (1999). Designing effective professional development: Lessons from the Eisenhower program. Washington, DC: U.S. Department of Education.
Garrison, L., & Mora, J. K. (1999). Changing the Faces of Mathematics: Perspectives on Latinos. Secada, Walter G., Ed.; Ortiz-Franco, Luis, Ed.; Hernandez, Norma G., Ed.; De La Cruz, Yolanda, Ed.
Gersten, R., & Chard, D. J. (2001) Number sense: Rethinking arithmetic instruction for students with mathematical disabilities, LD Online. Retrieved January 4, from 2018, http://www.ldonline.org/articl...
Gersten, R., Clarke, B., & Mazzocco, M. M .M. (2007). Historical and contemporary perspectives on mathematical learning disabilities. In D. B. Berch & M. M. M. Mazzocco (Eds.), Why is math so hard for some children? The nature and origins of mathematical learning difficulties and disabilities (pp. 7–29). Baltimore, MD: Paul H. Brookes Publishing Co.
Gibbons, P. (2002). Scaffolding language, scaffolding learning: Teaching second language learners in the mainstream classroom. Portsmouth, NH: Heinemann.
Glei, J. (2013). Talent isn’t fixed and other mindsets that lead to greatness. Retrieved from http://99u.com/articles/14379/talent-isnt-fixed-and-othermindsets-that-lead-to-greatness.
Gulamhussein, A. (2013). Teaching the teachers: Effective professional development in an era of high stakes accountability. Alexandria, VA: Center for Public Education.
Hall, E. F. (1992). Assessment for differentiation. British Journal of Special Education, 19, 20–23.
Harvard University Center for Education Policy. (2012). Leveraging video for learning. Retrieved March 25, 2018, from https://cepr.harvard.edu/files/cepr/files/1._leveraging_video_for_learning.pdf.
Hattie, J. A. C. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. London, UK: Routledge.
Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112.
Haystead, M. W., & Marzano, R. J. (2009). Meta-analytic synthesis of studies conducted at Marzano Research Laboratory on instructional strategies. Englewood, CO: Marzano Research Laboratory.
Hiebert, J., Carpenter, T. P., Fennema, E., Fuson, K., Human, P., Murray, H., . . . Wearne, D. (1996). Problem solving as a basis for reform in curriculum and instruction: The case of mathematics. Educational Researcher, 25(4), 12–22.
Hiebert, J., Morris, A. K., Berk, D., & Jansen, A. (2007). Preparing teachers to learn from teaching. Journal of Teacher Education, 58(1), 47–61.
Hiebert, J., & Grouws, D. A. (2007). The effects of classroom mathematics teaching on students’ learning. In F. K. Lester Jr. (Ed.), Second handbook of research on mathematics teaching and learning (pp. 371–404). Charlotte, NC: Information Age.
Hitchcock, C., Meyer, A., Rose, D., & Jackson, R. (2002). Providing new access to the general curriculum: Universal design for learning. Teaching Exceptional Children, 35(2), 8–17.
Huppert, J., Lomask, S. M., & Lazarowitz, R. (2002). Computer simulations in the high school: Students’ cognitive stages, science process skills and academic achievement in microbiology. International Journal of Science Education, 24, 803–821.
Jackson, R., & Lambert, C. (2010). How to support struggling students. Alexandria, VA: ASCD.
Janzen, J. (2008). Teaching English language learners in the content areas. Review of Educational Research, 78(4), 1010-1038.
Jerald, C. D. (2001). Dispelling the myth revisited: Preliminary findings from a nationwide analysis of “high-flying” schools. Washington, DC. The Education Trust. Retrieved online: https://files.eric.ed.gov/full...
Jones, E. D., Wilson, R., & Bhojwani, S. (1997). Mathematics instruction for secondary students with learning disabilities. Journal of Learning Disabilities, 30(2), 151–163.
Joyce, B., & Showers, B. (2002). Student achievement through staff development (3rd ed.). Alexandria, VA: ASCD.
Kanold, T. (2018). Mathematics RTI: A high quality response when students don’t learn! HMH Driving Student Outcomes with Intentional Instruction Summit.
Kelemanik, G., Lucenta, A. & Creighton, S. (2016). Routines for reasoning: Fostering the mathematical practices in all students. Portsmouth, NH: Heinemann.
Kersaint, G., Thompson, D. R., & Petkova, M. (2013). Teaching mathematics to English language learners (2nd ed). New York, NY: Routledge.
Ketterlin-Geller, L. R., & Yovanoff, P. (2009). Diagnostic assessments in mathematics to support instructional decision making. Practical Assessment, Research, & Evaluation, 14(16), 1–11.
Kieschnick, W. (2017). Bold school: Old school wisdom + new school technologies = blended learning that works. Rexford, NY: International Center for Leadership in Education
Knight. (2009). Instructional coaching: A partnership approach to improving instruction: A multimedia kit for professional development. Thousand Oaks, CA: Corwin.
Knight, S., Lloyd, G., Arbaugh, F., Gamson, D., McDonald, S., Nolan, J., & Whitney, A. (2015). School-based teacher learning. Journal of Teacher Education, 66(4), 301–303.
Kovalik, S., & Olsen, K. (1994). ITI, the model: Integrated thematic instruction. Paso Robles, CA. S. Kovalik & Associates.
Lampert, M. (2015). Deeper teaching. Students at the center: Deeper learning research series. Boston, MA: Jobs for the Future.
Lappan, G. (1997). Variables and patterns: Introducing algebra. Saddle River, NJ: Dale Seymour Publications.
Larson, M. (2015). Seeking Equilibrium. Retrieved from: www.youtube.com/embed/gsOEqKmJVNk
Larson, M. (2016). The need to make homework comprehensible. Retrieved February 12, 2018, from https://www.nctm.org/News-and-Calendar/Messages-from-thePresident/Archive/Matt-Larson/The-Need-to-Make-Homework-Comprehensible.
Lawrence-Brown, D. (2004). Differentiated instruction: Inclusive strategies for standards based learning that benefit the whole class. American Secondary Education, 32(3), 34–62.
Leinwand, S. (2020). Assessment is only as good as how we use the data. In Into Math planning and pacing guide (p. PG19). Boston, MA: Houghton Mifflin Harcourt.
Lembke, E. S., & Foegen, A. (2005). Identifying indicators of early mathematics proficiency in kindergarten and Grade 1 (Technical Report No. 6). Minneapolis, MN: University of Minnesota, College of Education and Human Development, Research Institute on Progress Monitoring.
Lembke E., Hampton D., & Beyers, S. J. (2012). Response to intervention in mathematics: Critical elements. Psychology in Schools, 49, 257–272.
Liu, Z. (2012). Digital reading. Chinese Journal of Library and Information Science, (English edition 2012), 85–94.
Loveless, T. (2011). The 2010 Brown Center report on American education: How well are American students learning? With sections on international tests, who’s winning the real race to the top, and NAEP and the Common Core State Standards. Volume II, Number 5. Brown Center on Education Policy at Brookings. Retrieved online: https://www.brookings.edu/wp-c...
Ma, L. (2010). Knowing and teaching elementary mathematics: Teachers’ understanding of fundamental mathematics in China and the United States. (2nd ed.). New York, NY: Routledge.
Magidin, D. K., Masters, J., O’Dwyer, L. M., Dash, S., & Russell, M. (2012). Relationship of online teacher professional development to seventh-grade teachers’ and students’ knowledge and practices in English language arts. The Teacher Educator, 47(3), 236–259. doi:10.1080/08878730.2012.685795.
Marzano, R. J. (2010). Designing & teaching learning goals & objectives. Bloomington, IN: Solution Tree Press.
Marzano, R., Pickering, D., & Pollock, J. E. (2012). Classroom instruction that works: Research-based strategies for increasing student achievement (2nd ed.). Alexandria, VA: Association for Supervision and Curriculum Development.
Mayer, R. (2001). Multimedia learning. Cambridge: Cambridge University Press.
Mayes, R., Chase, P. N., & Walker, V. L. (2008). Supplemental practice and diagnostic assessment in an applied college algebra course. Journal of College Reading and Learning, 38(2), 7–30.
Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2009). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning. Center for Technology in Learning, U.S. Department of Education. Retrieved February 25, 2018, from www.ed.gov/rschstat/eval/tech/evidence-basedpractices/finalreport.pdf.
Mercer, N., & Howe, C. (2012). Explaining the dialogic processes of teaching and learning: The value and potential of sociocultural theory. Learning, Culture and Social Interaction, 1(1), 12–21.
Miri, B., David, B. C, & Uri, Z. (2007). Purposely teaching for the promotion of higher-order thinking skills: A case of critical thinking. Research in Science Education, 37(4), 353–369.
Mondada, L. & Doehler, S. P. (2004). Second language acquisition as situated practice: Task accomplishment in the French second language classroom. The Modern Language Journal, 88, 501–518. doi:10.1111/j.0026-7902.2004.t01-15-.x.
Moss, C.M. (2013). Research on classroom summative assessment. In J.H. McMillan (Ed.), SAGE handbook of research on classroom assessment (pp. 235–255). New York, NY: Sage Publications, Inc.
National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston, VA: Author.
National Council of Teachers of Mathematics. (2006). Curriculum focal points for prekindergarten through grade 8 mathematics. Reston, VA: Author.
National Council of Teachers of Mathematics (2014). Principles to actions: Ensuring mathematical success for all. Reston, VA: Author.
National Governors Association Center for Best Practices & Council of Chief State School Officers. (2010). Common Core State Standards for Mathematics. Washington, DC: Author.
National Mathematics Advisory Panel. (2008). Foundations for success: The final report of the National Mathematics Advisory Panel. Washington, DC: U.S. Department of Education.
National Research Council. (2001). Adding it up: Helping children learn mathematics. J. Kilpatrick, J. Swafford, & B. Findell (Eds.) Mathematics Learning Study Committee, Center for Education, Division of Behavioral and Social Sciences and Education. Washington, DC: National Academy Press.
National Research Council. (2005). How students learn: Mathematics in the classroom. Washington, DC: National Academy Press.
Ontario Ministry of Education. (2013). School effectiveness framework: A support for school improvement and student success. Retrieved online: http://www.edu.gov.on.ca/eng/l...
Pasquale, M. (2015). Productive struggle in mathematics. Interactive Technologies in STEM Teaching and Learning. Retrieved from: http://interactivestem.org/wp-...
Popham, W. J. (2008). Transformative assessment. Washington DC: Association for Supervision and Curriculum Development.
Pugalee, D. K. (2005). Writing to develop mathematical understanding. Norwood, MA: Christopher-Gordon Publishers, Inc.
Rienties, B., Brouwer, N., & Lygo-Baker, S. (2013). The effects of online professional development on higher education teachers’ beliefs and intentions towards learning facilitation and technology. Teaching and Teacher Education, 29, 122–131. doi:10.1016/j.tate.2012.09.002.
Rittle-Johnson, B., & Alibali, M. W. (1999). Conceptual and procedural knowledge of mathematics: Does one lead to the other? Journal of Educational Psychology, 91(1), 175.
Russo, M., Hecht, D., Burghardt, M., and Saxman, L. (2011). Development of a multidisciplinary middle school mathematics infusion model. Middle Grades Research Journal, 6(2), 113–128.
Shaha, S. H., & Ellsworth, H. (2013). Quasi-experimental study of the impact of on-demand professional development on students performance. International Journal of Evaluation and Research in Education, 2(4), 29–34.
Shaw, R. A. (2011). Employing universal design for instruction. New Directions for Student Services, 13(4), 21–33.
Skiba, R., Magnusson, D., & Erikson, K. (1986). The assessment of mathematics performance in special education: Achievement tests, proficiency tests, or formative evaluation? Minneapolis, MN: Special Services, Minneapolis Public Schools.
Small, M. (2012). Good questions: Great ways to differentiate mathematics instruction. New York, NY: Teachers College Press.
Smith, M., & Stein, M. (2011). 5 practices for orchestrating productive mathematics discussions (1st ed.). Reston, VA. National Council of Teachers of Mathematics.
Snow, C. E., Griffin, P., & Burns, M. S. (2005). Knowledge to support the teaching of reading: Preparing teachers for a changing world. San Francisco, CA: Jossey Bass.
Star, J. R. (2005). Reconceptualizing conceptual knowledge. Journal for Research in Mathematics Education, 36(5), 404–411.
Stein, M. K., & Lane, S. (1996). Instructional tasks and the development of student capacity to think and reason: An analysis of the relationship between teaching and learning in a reform mathematics project. Educational Research and Evaluation, 2, 50–80.
Stetson, R., Stetson, E., & Anderson, K. A. (2007). Differentiated instruction, from teachers’ experiences. The School Administrator, 8(64). Retrieved February 21, 2018, from http://www.aasa.org/SchoolAdministratorArticle.aspx?id=6528.
Strangman, N., Hall, T., & Meyer, A. (2004). Background knowledge instruction and the implications for UDL implementation. National Center on Accessing the General Curriculum. Retrieved February 20, 2018, from http://aem.cast.org/about/publications/2004/ncac-background-knowledge-udl.html.
Sztajn, P., Confrey, J., Wilson, P. H., & Edgington, C. (2012). Learning trajectory based instruction: Towards a theory of teaching. Educational Researcher, 41(5), 147–156.
Tarr, J., Reys, R., Reys, B., Chavez, O. Shih, J., & Osterlind, S. (2008). The impact of middle-grades mathematics curricula and the classroom learning environment on student achievement. Journal for Research in Mathematics Education, 39(3), 247–280.
Taylor, R., & Chanter, C. (2016). The coaching partnership: Tips for improving coach, mentor, teacher, and administrator effectiveness. Lanham, MD: Rowman & Littlefield.
Taylor, J. A., & McDonald, C. (2007). Writing in groups as a tool for non-routine problem solving in first year university mathematics. International Journal of Mathematical Education in Science and Technology, 38(5), 639–655.
Tomlinson, C. A. (1999). The differentiated classroom: Responding to the needs of all learners. Alexandria, VA: Association for Supervision and Curriculum Development.
Tomlinson, C. A. (2000). Reconcilable differences: Standards-based teaching and differentiation. Educational Leadership, 58, 6–13.
Tomlinson, C. A. (2001). How to differentiate instruction in mixed-ability classrooms. (2nd ed.). Alexandria, VA: Association for Supervision and Curriculum Development.
Tomlinson, C. A. (2005). Traveling the road to differentiation in staff development. Journal of Staff Development, 26, 8–12.
Tomlinson, C. A., & Allan, S. D. (2000). Leadership for differentiating schools and classrooms. Alexandria, VA: Association for Supervision and Curriculum Development.
Valencia, S. W. (2007). Inquiry-oriented assessment. In Paratore, J. R., & McCormack, R. L. (Eds.), Classroom literacy assessment: Making sense of what students know and do (pp. 3–20). New York, NY: Guilford.
U.S. Department of Education Institute of Education Sciences (2017). National Center for Education Statistics, National Department of Education Progress (NAEP). Mathematics assessment. Retrieved from https://nces.ed.gov/pubsearch/...
U.S. Department of Education, National Center for Education Statistics. (2017). The condition of education 2017 (2017-144), English language learners in public schools. Retrieved from https://nces.ed.gov/pubsearch/...
U.S. Department of Education. (2010). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. Washington, DC: Center for Technology in Learning.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University.
Warshauer, H. K. (2014). Productive struggle in middle school mathematics classrooms. Journal of Mathematics Teacher Education, 17(4), 3-28.
Weber, C. & Kieschnick, W. (2016). RTI and blending learning: A perfect pairing. Boston: Houghton Mifflin Harcourt.
Weiss, I., Kramarski, B., & Talis, S. (2006). Effects of multimedia environments on kindergarten children’s mathematical achievements and style of learning. Educational Media International, 43(1), 3–17.
Weiss, I. R., & Pasley, J. D. (2004). What is high-quality instruction? Educational Leadership, 61(5), 24–28.
White, B. C., & Frederiksen, J. R. (1998). Inquiry, modeling, and metacognition: Making science accessible to all students. Cognition and Instruction, 16(1), 3–117.
Wiggins, G., & McTighe, J. (2005). Understanding by design. Alexandria, VA: Association for Supervision and Curriculum Development.
Wiliam, D. (2000). Integrating formative and summative functions of assessment is the title of the paper presented to working group 10 of the international congress on mathematics education. Makuhari, Tokyo. Wiliam, D. Can be found at dylanwiliam.org
Wiliam, D. (2011). Embedded formative assessment. Bloomington, IN: Solution Tree Press.
Wlodkowski, R. & Ginsberg, M. (1995). Diversity & motivation: Culturally responsive teaching. San Francisco, CA: Jossey-Bass.
Wood, K., Kissel, B., & Haag, K. (2014). What happens after staff development? A model for self-coaching in literacy. Newark, DE: International Reading Association.
Zimmerman, B. J. (2001). Theories of self-regulated learning and academic achievement: An overview and analysis. In B. J. Zimmerman, & D. H. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspectives (2nd ed., pp. 1–38). Mahwah, NJ: Erlbaum.
Zwiers, J. (2014). Building academic language: Meeting common core standards across disciplines, Grades 5–12. San Francisco, CA: John Wiley & Sons, Inc.
Zwiers, J., Dieckmann, J., Rutherford-Quach, S., Daro, V., Skarin, R., Weiss, S., & Malamut, J. (2017). Principles for the design of mathematics curricula: Promoting language and content development. Retrieved from http://ell.stanford.edu/content/mathematics-resources-additional-resources.