AI over-reliance can produce inversion effects, reducing cognitive processing depth and learning outcomes¶
Claim · All claims
Evidence · 1 study · theoreticalr3·q2
Currency · newest study 2025 · 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? In a writing-task study, the ChatGPT group improved task performance during the supported phase but showed no posttest knowledge gain or transfer differences and low metacognitive processing. → Bauer 2025
Evidence¶
Bauer 2025¶
Bauer, E., Greiff, S., Graesser, A. C., Scheiter, K., & Sailer, M. (2025). Looking Beyond the Hype: Understanding the Effects of AI on Learning. Educational Psychology Review. https://doi.org/10.1007/s10648-025-10020-8
q2 · i? · theoretical · r3
The review reports Fan et al. (2024), which compared support through ChatGPT, a human expert chat, writing analytics tools, and no support during a writing task. The ChatGPT group showed better supported-phase performance but "no differences in the posttest knowledge gain or knowledge transfer".
"while the ChatGPT group, compared to the other groups, showed improved task performance during the supported intervention phase, there were no differences in the posttest knowledge gain or knowledge transfer."
Discussion¶
Related Claims¶
- Students report negative experiences with ChatGPT including inaccurate outputs, lack of emotional connection, and risk of overreliance, which constrain competence — related
- Reviews citing one randomised trial (Bastani et al. 2025) report that unrestricted GPT-4 access in high-school mathematics raised assisted practice performance but left students worse off after withdrawal — a broader claim this one bears on
- As cited second-hand in an AI-literacy framework paper: ChatGPT use improved short-term essay scores but triggered metacognitive laziness with no significant knowledge-transfer gains — possibly the same claim (merge candidate)
- Reviewed literature reports risks of overreliance, AI errors in complex tasks, and students' uncritical acceptance of AI-generated outputs — related
- Frequent generative AI use for essay writing can foster metacognitive laziness, reducing intrinsic motivation and learning autonomy — a broader claim this one bears on
- AI-assisted task performance can rise without corresponding gains in underlying knowledge, metacognitive processing, or independent reasoning — a broader claim this one bears on
- GenAI use collapses SRL cycle transitions, with metacognitive activity restructuring around the tool — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-inversion-effects-overreliance-reduce-learning |
title |
AI over-reliance can produce inversion effects, reducing cognitive processing depth and learning outcomes |
description |
AI over-reliance can produce inversion effects, reducing cognitive processing depth and learning outcomes |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-22 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — bauer-2025 |
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