Students most often urge institutions to teach responsible AI use (N=41) and provide clear rules and guidelines (N=27)¶
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Evidence · 1 study · associationalr1·q2
Currency · newest study 2025 · checked against its sources 2026-10-15 (automated, 1 of 1 entry) · not reviewed by a person · recheck by 2030: baselines and conditions change
Subclaims¶
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q2 i? Asked what higher education institutions should do about LLMs, the largest group of responses (N=41) urged teaching responsible and ethical AI use to both teachers and students, and N=27 urged clear rules and guidelines. → Kudina 2025
Evidence¶
Kudina 2025¶
Kudina, O. (2025). Using AI in engineering education: a balancing act, driven by clear purpose. Draft version, to appear in The Routledge Handbook of the Philosophy of Engineering, 2nd ed. https://arxiv.org/abs/2606.16626 doi:10.48550/arxiv.2606.16626
q2 · i? · associational · r1
Final questionnaire question, "What should higher education institutions do about LLMs, if anything at all?"; illustrative response: "Help students use LLMs optimally and communicate clear rules about when and how to use them."
"an overwhelming majority of responses urges academic institutions to teach (both teachers and students) about the responsible and ethical use of AI in learning (N=41) and to provide clear rules and guidelines (N=27)"
Discussion¶
Related Claims¶
- Institutions have expanded student access to generative AI tools faster than they have developed policies, guidance, and shared learning goals for their use — related
- Associate deans report that neither their institution nor their units have implemented official AI policies, prompting localized unit-level guidelines — related
- Most surveyed college leaders report written GenAI responsible-use policies, but decision-making is largely left to educators — related
- Governance structures that exclude faculty and support staff responsible for implementation produce policies that do not stick — related
- AI integration in academic settings has outpaced regulatory frameworks, leaving ethical practices, assessment, and institutional responses inconsistent — related
- Most higher education institutions report faculty use of generative AI in teaching, but fewer than 15% have formal ethical guidelines — related
- First-year MA translation students adopt a cautious, pragmatic approach to GenAI, combining NMT for drafting with LLMs for support tasks — related
- AI adoption in higher education appears to progress faster than institutional policies, ethical frameworks, and governance structures, creating a policy–practice gap — related
- Expert panelists overwhelmingly favor a hybrid governance model combining formal policies and flexible guidelines for GenAI in higher education — related
- Nursing academics report limited, unclear and inconsistently applied institutional guidance on GenAI use in teaching and assessment — related
- Chinese HSS students prefer partial or optional GenAI curricular integration supported by practice-oriented training and clear institutional guidelines — related
- The GenAI higher-education literature invokes responsibility frequently but almost never assigns accountability to AI or names a responsible bearer — related
- Comprehensive institutional GenAI guidelines translate to course-level guidelines at higher rates (48.3–71.4%) than moderately comprehensive ones (30.8–31.2%) — related
- Universities pair academic-integrity guidance with AI literacy and student readiness supports, treating literacy as strategic rather than punitive — a broader claim this one bears on
- A scaffolded participatory exercise in which students wrote rules governing the instructor's own AI use produced an accountability framework the instructor found more usable than institutional guidance — related
- Most higher education educators report lacking institutional support and feeling unequipped for GenAI integration — related
- Practitioner governance activity in Australian Group of Eight institutions outpaces what the published GenAI literature has documented, while Indonesian participants report less formal scaffolding — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
students-urge-ai-literacy-and-clear-rules |
title |
Students most often urge institutions to teach responsible AI use (N=41) and provide clear rules and guidelines (N=27) |
description |
Students most often urge institutions to teach responsible AI use (N=41) and provide clear rules and guidelines (N=27) |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
source_checked |
2026-10-15 |
recheck_by |
2030 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — kudina-2025 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.