Survey items on critical evaluation and validation of ChatGPT outputs (Q11–Q13) received the lowest scores in both courses despite explicit validation instructions¶
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Evidence · 1 study · associationalr1·q2
Currency · newest study 2025 · checked against its sources 2026-10-19 (automated, 1 of 1 entry) · not reviewed by a person
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q2 i? Items Q11, Q12, and Q13, addressing evaluation and validation of information provided by ChatGPT, received the lowest scores across both courses; for example Q12 scored 8.62 ± 2.20 in biology and 8.43 ± 2.31 in mathematics. → Elizondo-García ME 2025
Evidence¶
Elizondo-García ME 2025¶
Elizondo-García ME, Hernández-De la Cerda H, Benavides-García IG, Caratozzolo P and Membrillo-Hernández J (2025) Who is solving the challenge? The use of ChatGPT in mathematics and biology courses using challenge-based learning. Front. Educ. 10:1417642. https://doi.org/10.3389/feduc.2025.1417642
q2 · i? · associational · r1
Item-level survey analysis in the Results section. Although students were explicitly instructed to validate ChatGPT's outputs using formal sources (the biology activity required cross-checking with at least two academic sources), the critical-thinking items on independent judgment and skepticism "also scored lower," and the authors conclude the integration "did not strongly foster critical evaluation or validation skills."
"Q12, which asked whether the activity encouraged students to look for information from other sources, scored 8.62 ± 2.20 in “Fundamentals of Biological Systems” and 8.43 ± 2.31 in “Mathematics and Data Science for Decision Making”. These scores are notable, given that students were explicitly instructed to validate ChatGPT’s outputs using formal sources."
Discussion¶
Learner Variables¶
- Critical Thinking — outcome: instruction changes it
Related Claims¶
- Students rated ChatGPT highly for completing activities more quickly, among the highest-scoring survey items in both courses — related
- Students' main AI challenges are content reliability and depth, and most expect AI to serve as tutor, creative partner, and critical thinking partner rather than mere content generator — related
- Reviewed studies consistently raise concerns about AI accuracy, overreliance, academic integrity, and reduced critical engagement in Arab EL2 contexts — related
- Students in the mathematics and data science course rated acceptance of the AI tool higher on average than students in the biology course — related
- The primary learning challenge shifts from navigating networks to evaluating and integrating AI-generated output whose sources are not visible — related
- ChatGPT feedback required doctoral students to validate the procedural accuracy of algorithm-generated outputs, with judgement shaped by prompt quality — reports the opposite
- Critical thinking is rarely defined in HCI research about AI, with fundamental construct and criterion validity challenges — related
- Preservice educators rate generative AI highest for logistical support (time saving, clarity, organizing thought) and lowest for epistemic trust, accuracy and consistency — a broader claim this one bears on
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
critical-evaluation-items-lowest-scores |
title |
Survey items on critical evaluation and validation of ChatGPT outputs (Q11–Q13) received the lowest scores in both courses despite explicit validation instructions |
description |
Survey items on critical evaluation and validation of ChatGPT outputs (Q11–Q13) received the lowest scores in both courses despite explicit validation instructions |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
source_checked |
2026-10-19 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — elizondo-garcía-me-2025 |
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