Positive LLM tutor perceptions do not necessarily translate to learning gains, creating an over-reliance risk¶
Claim · All claims
Evidence · 1 study · associationalr1·q2
Currency · newest study 2026 · not yet checked against its sources · 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? High learner satisfaction with LLM tutors can coexist with limited learning gains when content-relevant AI responses foster superficial engagement. → Kaşarcı İsmail 2026
Evidence¶
Kaşarcı İsmail 2026¶
Kaşarcı İsmail, Yurt Eyüp. (2026). Effectiveness of AI-Supported Game-Based Learning: A Systematic Review of Outcomes, Challenges, and Future Directions. Behavioral Sciences. https://doi.org/10.3390/bs16071050
q2 · i? · associational · r1
The review reports a single-group observational study of beginner CFL learners using an LLM tutor that was well-received, in which "positive LLM tutor perceptions do not necessarily translate to learning gains" and content-relevant responses were associated with more superficial engagement.
"Fang et al. (2025) critically found that positive LLM tutor perceptions do not necessarily translate to learning gains, with content-relevant AI responses associated with more superficial engagement (the over-reliance risk)."
Discussion¶
Related Claims¶
- Higher reliance on AI tools is correlated with lower critical-thinking performance, mediated by cognitive offloading — the general claim this finding bears on, with the studies behind it
- Over-reliance on GAI risks weakening teaching and social presence and depriving students of foundational skill development — related
- Standalone LLM tutors replicate Phase II's profile: strong single-interaction intelligence without systematic control over the learning trajectory — related
- Unguarded answer-giving AI harmed unaided exam performance while a guarded version of the same model erased the harm (Bastani et al., 2025, as reported) — related
- Reviewed literature reports risks of overreliance, AI errors in complex tasks, and students' uncritical acceptance of AI-generated outputs — related
- Viewers of learning-oriented content describe ChatGPT as a tutor or thinking partner, while viewers of output-oriented content raise over-reliance and cognitive-offloading concerns — related
- Individual trajectories suggest heavy LLM use focused on support other than full answer generation can coexist with improving scores, whereas reliance on LLM-generated summaries was associated with declining scores — related
- Over-reliance on AI dialogue systems reduces students' critical and analytical thinking skills, especially when they become overly dependent on AI-generated content — related
- System-controlled adaptive instruction does not necessarily yield higher transfer than nonadaptive static approaches — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
llm-scaffolding-over-reliance-paradox |
title |
Positive LLM tutor perceptions do not necessarily translate to learning gains, creating an over-reliance risk |
description |
Positive LLM tutor perceptions do not necessarily translate to learning gains, creating an over-reliance risk |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — kaşarcı-ismail-2026 |
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