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the claim

AI tutors built on large language models give students hallucinated, factually incorrect answers.

the verdict
INSUFFICIENT LEANING
Recorded sources
3 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that AI tutors built on large language models give students hallucinated, factually incorrect answers?

Unclear. The retrieved items establish only that large language models can generate factually incorrect or hallucinated statements in general, and one student survey reports false information among hallucination experiences. None of the items specifically documents AI tutors built on LLMs giving students hallucinated, factually incorrect answers.

Verdict: PARTIAL LEAN · 3 sources for, 0 against · Last checked

The private library was unavailable for some searches in this check. Missing library results are not evidence against the claim.

Evidence for · 3
Large language model
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Large language model. (n.d.). en.wikipedia.org. https://en.wikipedia.org/wiki/Large_language_model

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More for · 2
Causal Engram Circuits for Factual and Hallucinated Memory in Large Language Models
2026
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Bao, P. (2026). Causal Engram Circuits for Factual and Hallucinated Memory in Large Language Models. doi.org. https://doi.org/10.2139/ssrn.7447179

AI Hallucination from Students’ Perspective: A Thematic Analysis
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AI Hallucination from Students’ Perspective: A Thematic Analysis. (n.d.). arxiv.org. https://arxiv.org/html/2602.17671v1

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