Claims

Positive LLM tutor perceptions do not necessarily translate to learning gains, creating an over-reliance risk

Claim · All claims
Evidence · 1 study · associational r1 · 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

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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