In a 10-student pilot, EduGuard produced higher post-test accuracy, larger normalized learning gain, lower calibration error, and lower overreliance than GPT-4o-mini Tutor¶
Claim · All claims
Evidence · 1 study · causalr1·q2
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person
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? EduGuard produced higher immediate post-test accuracy, larger normalized learning gain, lower confidence calibration error, and lower overreliance behavior than GPT-4o-mini Tutor in a counterbalanced within-subject pilot. → S M Asif Hossain 2026
Evidence¶
S M Asif Hossain 2026¶
S M Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha, and Jungpil Shin. (2026). EduGuard: A Safe RAG-Based LLM Tutor for Programming Education. arXiv preprint arXiv:2607.15738. https://arxiv.org/abs/2607.15738 doi:10.48550/arxiv.2607.15738
q2 · i? · causal · r1
Small controlled pilot with "a counterbalanced within-subject design"; each of 10 students solved two matched programming tasks, one per tutor. Table 4 reports post-test accuracy 81.2 vs 74.2, normalized gain 0.41 vs 0.20, overreliance 17.0 vs 38.0. The article also notes students using EduGuard asked more follow-up clarification questions.
"EduGuard produced higher immediate post-test accuracy, larger normalized learning gain, lower confidence calibration error, and lower overreliance behavior than GPT-4o-mini Tutor."
Discussion¶
Learner Variables¶
- Metacognition — outcome: instruction changes it
Related Claims¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
eduguard-pilot-learning-gain-overreliance |
title |
In a 10-student pilot, EduGuard produced higher post-test accuracy, larger normalized learning gain, lower calibration error, and lower overreliance than GPT-4o-mini Tutor |
description |
In a 10-student pilot, EduGuard produced higher post-test accuracy, larger normalized learning gain, lower calibration error, and lower overreliance than GPT-4o-mini Tutor |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — s-m-asif-hossain-2026 |
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