Claims

Using the ITS reduced executive state-math anxiety and improved algebra learning across conditions

Claim · All claims
Evidence · 1 study (2 entries) · causal r2 · q3 · i3 large
Currency · newest study 2026 · checked against its sources 2026-10-16 (automated, 2 of 2 entries) · not reviewed by a person

In Rief et al. (2026), seventh graders practised algebra in the "Math with Matt" tutoring system. The Mindful version added an LLM-based mindful chat, in which the pedagogical agent Matt gave context-sensitive emotional support, and mindful (not only evaluative) feedback and hint messages; the Cognitive version gave cognitive support only.

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.

q3 i3 Executive state-MA decreased significantly over time for both groups with a large effect size. → Rief 2026 q3 i3 Students' algebra performance improved significantly from pretest to posttest with a large effect size, independent of condition. → Rief 2026 (2)

Evidence

Rief 2026

Rief, V., Hladký, M., Yoo, M., Heel, S., Sato, S., Nagashima, T. (2026). Beyond Problem Solving: Large Language Models for Emotional and Reflective Support in Mathematics Learning. https://arxiv.org/abs/2609.02611 doi:10.48550/arxiv.2609.02611

q3 · i3 · causal · r2

Classroom experiment with 42 completing 7th graders (18 Mindful, 24 Cognitive) randomly assigned within classes; linear mixed-effect model on STAI-6 executive state-MA showed a significant time main effect, "partialη2=0.27", with no group or interaction effect.

"However for executive state-MA, both groups showed a significant main effect for time with a large effect size (F(1, 15)=5.422,p=.034, partialη2=0.27), but no group nor interaction effect was found."

Rief 2026 (2)

Rief, V., Hladký, M., Yoo, M., Heel, S., Sato, S., Nagashima, T. (2026). Beyond Problem Solving: Large Language Models for Emotional and Reflective Support in Mathematics Learning. https://arxiv.org/abs/2609.02611. doi:10.48550/arxiv.2609.02611

q3 · i3 · causal · r2

Pre/posttest of conceptual and procedural knowledge of linear systems (six items, max nine points) in the same classroom experiment; the mixed-effect model showed "a significant main effect of time with a large effect size" (partial η²=.14) with no condition difference.

"A linear mixed-effect model revealed a significant main effect of time with a large effect size (F(1, 40)=6.418,p=.015, partialη 2=.14), but no group or interaction effect, indicating that students learned algebra knowledge, but the improvement did not depend on the condition."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id its-reduces-executive-state-ma-improves-algebra
title Using the ITS reduced executive state-math anxiety and improved algebra learning across conditions
description Using the ITS reduced executive state-math anxiety and improved algebra learning across conditions
status review
evidence_strength moderate
newest_evidence 2026
source_checked 2026-10-16
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 2 — rief-2026, rief-2026-2

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