Science of Math: The movement everyone’s talking about with Sarah Powell (Ep. 65)

2026-02-20

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In this episode, Anna is joined once again by Dr. Sarah Powell, a professor at the University of Texas at Austin whose research focusses on supporting students with math difficulties. They respond to a recent NCSM statement criticizing the Science of Math movement. Anna and Sarah unpack what the Science of Math is and why high-quality evidence matters. They address misconceptions about explicit instruction and “one-size-fits-all” teaching and explore why math instruction deserves the same scientific scrutiny as reading instruction. This episode is a must...

Anna and Sarah unpack what the Science of Math is and why high-quality evidence matters. They address misconceptions about explicit instruction and “one-size-fits-all” teaching and explore why math instruction deserves the same scientific scrutiny as reading instruction. This episode is a must-listen for educators, school leaders, policymakers, and parents navigating the current math education landscape.

This episode is also available in video at www.youtube.com/@chalktalk-stokke

SHORT COURSE

La Trobe Short Course: Evidence-informed Mathematics Teaching – An Introduction https://shortcourses.latrobe.edu.au/evidence-informed-mathematics-teaching

TIMESTAMPS

[00:00:22] Introduction and an overview of the NCSM statement
[00:10:25] What is the Science of Math?
[00:12:07] Is this only about special education?
[00:14:24] Math learning through the general lens of learning science
[00:17:19] Is the Science of Math equivalent to the Science of Reading?
[00:20:01] The instructional hierarchy applies to learning anything
[00:24:07] The same groups tried to discredit What Works Clearinghouse
[00:26:30] Responding to claims about research citations
[00:29:49] Addressing the NCSM’s claims about quantitative research
[00:31:21] Why quantitative research and data matter
[00:38:24] Why alignment with IES and What Works Clearinghouse is a strength, not a flaw
[00:40:18] Importance of measuring learning
[00:42:59] Strange statements about an impoverished pedagogical approach
[00:47:30] Misconceptions about explicit instruction
[00:51:25] Is there quantitative data that supports mixed approaches or inquiry?
[00:55:20] Does explicit instruction fundamentally minimize learners' autonomy?
[00:56:32] Final Claim: The one-size-fits-all teaching method
[00:58:04] Problems with the phrase “math wars”
[00:59:59] Why is there such strong resistance to The Science of Math?
[01:02:51] Final Thoughts