Claims

Students in MATHia find it hard to adapt their strategy choices to suit the problem, based on log data from over 600 schools

Claim · All claims
Evidence · 1 study · associational r? · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2030: baselines and conditions change

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Analysis of MATHia log data from over 600 schools shows students find it hard to adapt their strategies to suit a problem. → Magar 2025

Evidence

Magar 2025

Magar, A.T., Fancsali, S.E., Rus, V., Murphy, A., Ritter, S., Venugopal, D. (2025). Analyzing Strategies in MATHia with BERT. In: Artificial Intelligence in Education. AIED 2025. Springer, Cham. https://doi.org/10.1007/978-3-031-98465-5_15

q2 · i? · associational · r?

Large-scale observational analysis of MATHia student log data from over 600 schools, examining whether students choose strategies suited to problem characteristics. The authors report that "students find it hard to adapt their strategies to suit a problem." No effect size is printed.

"Using data from over 600 schools, we show that students find it hard to adapt their strategies to suit a problem."

Discussion

Page metadata
Field Value
type claim
id mathia-students-hard-to-adapt-strategies
title Students in MATHia find it hard to adapt their strategy choices to suit the problem, based on log data from over 600 schools
description Students in MATHia find it hard to adapt their strategy choices to suit the problem, based on log data from over 600 schools
status review
evidence_strength moderate
newest_evidence 2025
recheck_by 2030
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 1 — magar-2025

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