The Program

Educational theory & research

Introduction to, and evidence supporting, the Explicit Mathematics Program.

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Cognitive science research behind the Explicit Mathematics Program

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The Explicit Mathematics Program (EMP) is informed by core principles from cognitive science research to support student learning and retention. The program integrates well-established strategies: spaced practice, retrieval practice, interleaving, and Cognitive Load Theory (CLT), to provide a structured, effective mathematics learning environment.

Spaced practice

Research underscores the benefits of spaced practice, in which study sessions are distributed over time to improve long-term retention. Studies by Emeny, Hartwig, and Rohrer (2021) found that spaced practice in mathematics improves test scores and reduces overconfidence, helping students build accurate and enduring mathematical knowledge. Kang (2016) highlights the efficiency of spaced repetition for enhancing learning retention, which has policy implications for instructional design. Dunlosky and Rawson (2015) further support spaced practice with practical recommendations for the classroom. The EMP’s Daily Review and Quick Teach (DRQT) sessions, in addition to the overall structure of the program, which strategically spaces and revisits core concepts over time, integrate these findings, thus promoting long-term retention.

Retrieval practice

Retrieval practice, or the act of recalling information from memory, has been shown to improve memory retention and reinforce learning pathways. Roediger and Karpicke (2006) describe the power of testing as an active recall strategy that strengthens memory and aids long-term learning in educational contexts. Additionally, Roediger and Butler (2011) emphasise the critical role of retrieval practice in enhancing long-term retention, showing that repeated recall strengthens the encoding of knowledge more effectively than passive review. Within EMP, retrieval practice is embedded across DRQT sessions and explicit lessons, allowing students repeated opportunities to recall and apply previously learned content, thereby solidifying their understanding over time.

Interleaving

Interleaving is the practice of mixing different problem types within a single practice session, which has been shown to promote the differentiation and understanding of similar concepts. Rohrer, Dedrick, and Agarwal (2017) demonstrated that interleaved practice in mathematics allows students to learn and contrast different types of problems more effectively, improving concept mastery. A systematic review by Firth, Rivers, and Boyle (2021) supports this, indicating that interleaving fosters concept learning by requiring students to discriminate among problem types. Further research by Rohrer, Dedrick, and Burgess (2014) suggests that interleaved mathematics practice benefits students beyond superficial problem similarities, fostering deeper conceptual understanding. EMP integrates interleaving both on a micro level, within DRQT segments that mix various mathematical topics, and on a macro level, interleaving content from multiple curriculum strands over time, promoting cross-topic comprehension and retention.

Cognitive Load Theory (CLT)

Cognitive Load Theory, developed by Sweller, emphasises the importance of instructional design that minimises unnecessary cognitive demands. Sweller, Ayres, and Kalyuga’s (2011) foundational work on CLT demonstrates that reducing extraneous cognitive load, such as through clear, straightforward problem setups, enhances learning by focusing cognitive resources on intrinsic learning tasks. Additionally, Lovell’s Cognitive Load Theory in Action (2020) elaborates on practical methods for reducing load in classroom materials, highlighting that removing redundancy, split-attention effects, and transient information improves learning outcomes. The EMP integrates these CLT strategies comprehensively across its materials. Given the influence of Oliver Lovell as one of the program’s authors, specific attention is paid to minimizing extraneous load, thereby allowing students to focus on fundamental mathematics skills and concepts without cognitive distractions.

By embedding these research-based principles into its structure, EMP provides an evidence-informed approach to mathematics instruction that fosters students’ ability to retain and apply key concepts effectively.

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Mathematics education research behind the Explicit Mathematics Program (EMP)

The Explicit Mathematics Program (EMP) is grounded in robust mathematics education research, adopting proven instructional methods to foster fluency, problem-solving skills, and conceptual understanding. Foundational sources include Teaching Primary Mathematics by George Booker (2020), Steven Norton (2023), Sarah Powell (2011), and Elementary and Middle School Mathematics: Teaching Developmentally by John A. Van de Walle, Karen S. Karp, and Jennifer M. Bay-Williams (2020).

Booker’s framework on conceptual foundations and progression

George Booker’s Teaching Primary Mathematics (2020) serves as a core foundation for EMP, particularly in developing number sense and structuring the gradual shift from concrete to abstract understanding. For example, Booker advocates for introducing comparison tasks using “concrete concrete” strategies, followed by “concrete number” and finally “number number” strategies, as seen on pages 134-135. Another instructional sequence from Booker used in the EMP involves teaching two-digit numbers in stages: starting with linguistically familiar groups such as the 40s, 60s, 70s, 80s, and 90s, before introducing more complex sequences like the 30s, 50s, 20s, and finally the teens. This sequence supports students in mastering place value and number sense gradually, reinforcing their understanding of base-10 structure in mathematics.

Norton’s framework on foundational skills

Steven Norton’s work emphasises using concrete tools alongside abstract representations, supporting the scaffolded development of conceptual understanding and connections between both concrete and pictorial representations, and their abstract counterparts. One example of how the EMP adopts his approach is by integrating bundling sticks and similar concrete tools when introducing algorithms. Norton’s work in this space is further built upon in the EMP through refined scripts, particularly influenced by Toni Hatten-Roberts’ work within Mastery Schools Australia.

Schema-based problem solving (Powell, 2011)

Powell’s (2011) research on schema-based instruction for solving word problems is fundamental to the EMP’s problem-solving approach. Powell advocates for the use of schemas to organize and approach different types of word problems, typically through equations. The EMP adapts this strategy by incorporating schemas using number bonds and the bar model instead, offering students more visual and flexible tools for problem-solving whilst still basing problem identification on robust schema-based approaches, and avoiding unreliable word cuing methods. By presenting problems through number bonds and the bar model, students gain a clearer understanding of part-whole relationships and structure, which enhances their independence in approaching complex problems.

Developmental progression and differentiation (Van de Walle, Karp, & Bay-Williams, 2020)

The developmental progression strategies outlined in Elementary and Middle School Mathematics: Teaching Developmentally by Van de Walle, Karp, and Bay-Williams (2020) were particularly influential during initial scope and sequence work within the EMP.

Supporting insights from CIS and AERO reports

Reports from the Centre for Independent Studies (CIS) and the Australian Education Research Organisation (AERO) reinforce EMP’s balanced focus on procedural fluency and conceptual understanding. CIS publications such as The Need for Speed: Why Fluency Counts for Maths Learning (CIS, 2023) underscore the importance of fluency, a principle that EMP incorporates through dedicated fluency-building exercises across lessons. AERO’s report Developing Maths Proficiency (AERO, 2024) also supports EMP’s dual emphasis, supporting the program’s efforts to help students achieve a balanced mastery of skills and concepts.

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Quality assurance of the Explicit Mathematics Program

The Explicit Mathematics Program has undergone a rigorous and multi-layered quality assurance process to ensure accuracy, clarity, and efficacy. Each component of the program has been meticulously reviewed through at least five rounds of proofing, reflecting a strong commitment to providing a reliable, well-structured resource for mathematics instruction in primary schools.

Expert review

Each instructional script within the EMP has been carefully reviewed by a team of four prominent experts in the field of mathematics education: David Morkunas, Oliver Lovell, Toni Hatten-Roberts, and Dr. Wendy Taylor. This expert team’s collaborative oversight has been pivotal in refining both the pedagogical accuracy and practical implementation of each lesson, ensuring that content is both rigorous and accessible for teachers and students alike. These experts bring a wealth of experience in educational best practices, which has directly informed the structure and instructional approach of the EMP.

External proofreading

In addition to expert reviews, the EMP has been proofread by two independent copy editors, one of whom has a strong background in educational publishing, with over 2 decades of experience at The Education Center (United States), and a history of writing and editing educational materials tailored for classroom use, supporting teachers with ready-to-use scripts and age-appropriate content. Their expertise has contributed to a polished and teacher-friendly final product, ensuring that EMP materials meet high standards of readability and accessibility.

Field testing and school feedback

The EMP has been rigorously trialled in diverse school settings across Australia, representing a variety of socioeconomic contexts. These trials have taken place in schools from low and high SES communities, spanning Western Melbourne, the Goldfields, metropolitan areas, and rural regions of Western Australia. Feedback from these trial schools indicates that the EMP is not only straightforward to implement but has also significantly accelerated student progress in mathematics. Teachers and leadership across these contexts have reported positive outcomes, with students showing marked improvements in foundational skills and increased engagement in mathematics lessons. Testimonials from some of these trial schools are included below:

The EMP has given our teachers the instructional language to use and also the way to describe challenging concepts to students, in addition to the sequencing of key skills. It’s also given them the confidence to actually challenge the kids even further than what we thought was possible in previous years. Prior to the EMP... we didn’t have the instructional language, and we were finding students were spending most of their time trying to put the answers in the right spot in the workbook, and there was never room for hands on and really thoroughly explaining concepts. So this has given us a lot more time to explain concepts much more deeply in addition to following it up with really targeted practice opportunities for independent and guided practice. I would definitely recommend the explicit maths program to any school.
SL Stephanie Le Lievre Principal, Serpentine Primary School
St Monica’s was lucky enough to be one of the schools to trial the EMP, and we were blown away with the quality of the program. The content is delivered in small chunks, with lots of time built-in for student independent practice too, just as we know is important from the research. For example, we were seeing concrete results even after the first week as our students were much more proficient with their numeral formation (fewer reversals) than previous cohorts. Above all, the EMP has just been really easy to implement. Our students have never been more settled in Maths lessons, and our teachers are loving the support it gives them to provide high-quality mathematics instruction regardless of their prior experience or confidence with teaching maths.
ML Maggie Lloyd Assistant Principal, St Monica’s
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Curriculum alignment and assessments within the EMP

The EMP is mapped to all state and curricular strands across the country, and is therefore appropriate for use across all states and territories within Australia. This has been completed internally within the EMP project team. More recently, explicit mapping documents for public use have been created for both the Australian and NSW curriculums, available on our programs page. Further mapping documents will be available shortly.

There are two types of assessments within the Explicit Mathematics program, Formative Assessments and Summative Assessments. Formative Assessments occur every 5 blocks (approximately every 3 weeks), and act as a rapid indicator of student progress which can be used to tailor pre-scheduled Catch-up or Top-up sessions to specific skills.

To support reporting requirements, the EMP also provides a Summative Assessment each semester (two in total). These assessments cover all 6 strands and, using our supporting spreadsheet, student data is automatically converted to a progression point, dependent upon the selected state/territory/national curriculum.

Assessment samples, scopes and sequences, and more can be accessed on our programs page: https://explicitmathematicsprogram.com/programs/

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Pre-implementation considerations

The EMP is designed to be easy to use and implement in any school across Australia. All trial schools have used the program without any external training, simply working through the in-built implementation guide within the Teacher Lesson Book (teacher manual).

That being said, the following would likely be helpful to schools considering the EMP:

  • 60 minutes (or very close to) per day dedicated to mathematics instruction and learning
  • Some experience with scripted, or semi-scripted programs (e.g., MultiLit programs)
  • Support from leadership and a belief in the power of Explicit Instruction
  • A belief in the research base of cognitive science, and the science of learning
  • The following resources: bit.ly/emp-required-resources

We hope that you have found this overview of the EMP program and please reach out any time to admin@explicitmathematicsprogram.com with questions or for further information.

  1. Australian Education Research Organisation. (2024). Developing maths proficiency. Available from https://www.edresearch.edu.au/summaries-explainers/explainers/developing-maths-proficiency.
  2. Booker, G. (2020). Teaching primary mathematics (6th ed.). Pearson Higher Education AU.
  3. Centre for Independent Studies. (2023). The Need for Speed: Why Fluency Counts for Maths Learning. Available from https://www.cis.org.au/publication/the-need-for-speed-why-fluency-counts-for-maths-learning/.
  4. Centre for Independent Studies. (2023). The Science of Mathematics and How to Apply It. Available from https://www.cis.org.au/publication/the-science-of-mathematics-and-how-to-apply-it/.
  5. Dunlosky, J., & Rawson, K. A. (2015). Practice tests, spaced practice, and successive relearning: Tips for classroom use and for guiding students’ learning. Scholarship of Teaching and Learning in Psychology, 1(1), 72.
  6. Emeny, W. G., Hartwig, M. K., & Rohrer, D. (2021). Spaced mathematics practice improves test scores and reduces overconfidence. Applied Cognitive Psychology, 35(4), 1082-1089.
  7. Firth, J., Rivers, I., & Boyle, J. (2021). A systematic review of interleaving as a concept learning strategy. Review of Education. doi:10.1002/rev3.3279
  8. Kang, S. H. (2016). Spaced repetition promotes efficient and effective learning: Policy implications for instruction. Policy Insights from the Behavioral and Brain Sciences, 3(1), 12-19.
  9. Lovell, O. (2020). Sweller’s Cognitive Load Theory in Action. John Catt Educational.
  10. Norton, S. (2023). Teaching and learning fundamental mathematics. Available from https://mathematicseducation.vhx.tv/products/teaching-and-learning-fundamental-mathematics.
  11. Powell, S. R. (2011). Solving word problems using schemas: A review of the literature. Learning Disabilities Research & Practice, 26(2), 94-108. doi:10.1111/j.1540-5826.2011.00329.x
  12. Roediger, H. L. III, & Karpicke, J. D. (2006). The power of testing memory: Basic research and implications for educational practice. Perspectives on Psychological Science, 1(3), 181-210.
  13. Roediger, H. L., & Butler, A. C. (2011). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15(1), 20-27.
  14. Rohrer, D., Dedrick, R. F., & Agarwal, P. K. (2017). Interleaved mathematics practice: Giving students a chance to learn what they need to know. Available from remix.berklee.edu.
  15. Rohrer, D., Dedrick, R. F., & Burgess, K. (2014). The benefit of interleaved mathematics practice is not limited to superficially similar kinds of problems. Psychonomic Bulletin & Review.
  16. Rohrer, D., & Hartwig, M. K. (2023). Spaced and interleaved mathematics practice. In In their own words: What scholars and practitioners say.
  17. Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. Springer.
  18. Van de Walle, J. A., Karp, K. S., & Bay-Williams, J. M. (2020). Elementary and middle school mathematics: Teaching developmentally. Pearson.