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math-edtech-analyst-report
Home
Rationale
The Market
Analysis
Recommendation
Reflection
References
More
Home
Rationale
The Market
Analysis
Recommendation
Reflection
References
References
Alpha School. (n.d.). The program.
https://alpha.school/the-program/
Alpha School. (2026). Alpha’s mid-year report card: Fall 2025 to Winter 2026 NWEA MAP results.
https://alpha.school/blog/alphas-mid-year-report-card-is-in-heres-what-the-data-actually-says/
Arnold Ventures. (n.d.). A replication randomized controlled trial (RCT) of ASSISTments, an online study tool to improve student math outcomes in seventh grade.
https://www.arnoldventures.org/stories/a-replication-randomized-controlled-trial-rct-of-assistments-an-online-study-tool-to-improve-student-math-outcomes-in-seventh-grade
Arnold Ventures. (2024, August 29). Governor Moore announces $20 million in grants for education programs, first awards under Maryland Partnership for Proven Programs.
https://www.arnoldventures.org/newsroom/governor-moore-announces-20-million-in-grants-for-education-programs-first-awards-under-maryland-partnership-for-proven-programs-with-arnold-ventures
ASSISTments. (n.d.). Integrate EdTech into the classroom. ASSISTments Blog.
https://www.assistments.org/blog-posts/training-your-students
Chalkbeat. (2025, January 29). Pennsylvania denies AI cyber charter school application.
https://www.chalkbeat.org/philadelphia/2025/01/29/pennsylvania-rejects-ai-cyber-charter-school-unbound-academy-application/
Dasari, D., et al. (2024). ChatGPT in didactical tetrahedron, does it make an exception? A case study in mathematics teaching and learning. Frontiers in Education.
https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2023.1295413/full
Evidence for ESSA. (n.d.). ASSISTments.
https://www.evidenceforessa.org/program/assistments/
Feng, M., Huang, C.-W., & Collins, K. (2023). Technology-based support shows promising long-term impact on math learning: Initial results from a randomized controlled trial in middle schools. WestEd.
https://eric.ed.gov/?id=ED630781
Feng, M., Huang, C.-W., & Collins, K. (2024). Supporting middle school math learning with a technology-based intervention: Impact, moderators, and usage. WestEd.
https://osf.io/7k8qw/files/3hsxd
Feng, M., Weiser, G., & Collins, K. (2024). Cost and cost-effectiveness of ASSISTments online math support: Analysis from a randomized controlled study in middle school. WestEd.
https://www.wested.org/resource/cost-and-cost-effectiveness-of-assistments-online-math-support/
Hamid, F. A., & Ahmad, N. J. (2026). Co-teaching with AI: Shift pedagogy, opportunities, and challenges in mathematics education. Asia Pacific Journal of Educators and Education.
https://ejournal.usm.my/apjee/article/view/apjee_vol41-no-1-2026_4
Joshi, G. S., & Heinold, S. M. (2025). Mapping empirical evidence on artificial intelligence tools for mathematics teachers: A scoping review. Purdue AI in P-12 Education Conference.
https://docs.lib.purdue.edu/purdueaip12ed/2025/briefs/7/
Khan Academy. (2026, April). Learning in the open: What AI is (and isn’t) changing. Khan Academy Blog.
https://blog.khanacademy.org/learning-in-the-open-what-ai-is-and-isnt-changing/
O'Connell, M. (2025, May 28). Khanmigo: MSU’s work with the UIA Learning Innovation Project. Michigan State University Office of Undergraduate Education.
https://undergrad.msu.edu/news/2025/05-learning-innovation-project
Roschelle, J., Feng, M., Murphy, R. F., & Mason, C. A. (2016). Online mathematics homework increases student achievement. AERA Open, 2(4), 1–12.
https://doi.org/10.1177/2332858416673968
Stanford HAI. (n.d.). AI helps math teachers build better scaffolds.
https://hai.stanford.edu/news/ai-helps-math-teachers-build-better-scaffolds
Sun, S., Else-Quest, N. M., Hodges, L. C., French, A. M., & Dowling, R. (2021). The effects of ALEKS on mathematics learning in K-12 and higher education: A meta-analysis. Investigations in Mathematics Learning, 13(3), 182–196.
https://doi.org/10.1080/19477503.2021.1926194
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