Frequency of generative AI use for homework differs significantly by subject, with natural sciences most resistant and economics most adopted¶
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Evidence · 1 study · associationalr1·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change
Subclaims¶
Reading the evidence codes
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q2 i? Homework AI use is significantly subject-dependent (Kruskal-Wallis H = 88.83, p < .001): n = 204 natural-science students report never using AI for homework, while economics shows n = 155 in the two highest-frequency categories. → Martin Lnenicka and Petr Coufal 2026
Evidence¶
Martin Lnenicka and Petr Coufal 2026¶
Martin Lnenicka and Petr Coufal. (2026). Navigating AI in STEM: what secondary students actually do with generative AI-driven tools. International Journal of STEM Education. https://doi.org/10.1186/s40594-026-00637-8
q2 · i? · associational · r1
Question D1 analysis (Fig. 5) of subject-specific homework AI use in the n = 416 sample. Printed counts: natural sciences n = 204 never (peaking in years 3 and 4 at n = 67 and n = 56), mathematics n = 158 never, computer science n = 54 very often, economics n = 155 in categories 4 and 5.
"A Kruskal-Wallis H test confirms that the frequency of these tools’ integration is significantly subject-dependent (H = 88.83, p < .001), reflecting a dual-speed adoption pattern where applied disciplines accommodate AI as a productivity tool while procedural disciplines maintain traditional boundaries."
Discussion¶
Related Claims¶
- Perceived institutional AI regulation differs significantly across STEM subjects, with mathematics and natural sciences perceived as prohibitive and computer science as permissive — related
- Perceived clarity of AI rules is significantly dependent on discipline, with the most restrictive subjects also the least clear — related
- Perceived usefulness of AI and intent to continue using it differ significantly across challenge domains, with academic tasks rated most useful — related
- AI use is predominantly independent of the science subject taught, with one exception: chemistry teachers most often cite lack of subject-specific relevance — related
- Prompt-count distributions differ significantly across assignments, with moderate prompting most common and extended prompting (10+) rare except in Algorithms (18.0%) — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
dual-speed-homework-ai-adoption-subjects |
title |
Frequency of generative AI use for homework differs significantly by subject, with natural sciences most resistant and economics most adopted |
description |
Frequency of generative AI use for homework differs significantly by subject, with natural sciences most resistant and economics most adopted |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — martin-lnenicka-and-petr-coufal-2026 |
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