Faculty members and students anticipate AI will transform education and professions, sharing concerns that excessive dependence could weaken cognitive skills¶
Claim · All claims
Evidence · 1 study (2 entries) · qualitativer3·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
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? Faculty members and students shared concerns that AI could weaken cognitive skills in the long term, that curricula need updating, and that professional uncertainties are arising. → Buket Bilgiç and Demet Sever 2026
q2 i? Students argued that excessive dependence on AI limits productivity and thinking skills. → Buket Bilgiç and Demet Sever 2026 (2)
Evidence¶
Buket Bilgiç and Demet Sever 2026¶
Buket Bilgiç and Demet Sever (2026). Understanding ethical dimensions of AI in higher education: insights from faculty members and students. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00601-0
q2 · i? · qualitative · r3
Authors' synthesis of the long-term effects theme across both interview groups. Participants anticipated structural change in education and professions, with weakening of skills, economic and professional uncertainties, and calls to update curricula reported for both groups.
"faculty members and students shared common concerns that AI could weaken cognitive skills in the long term, that curricula need to be updated, and that uncertainties regarding professional life have arisen."
Buket Bilgiç and Demet Sever 2026 (2)¶
Buket Bilgiç and Demet Sever (2026). Understanding ethical dimensions of AI in higher education: insights from faculty members and students. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00601-0
q2 · i? · qualitative · r3
Student long-term-effects sub-theme from the interviews. A participant described habitual AI use as playing "a restric -tive role in terms of our productivity"; the article reports these as participants' predictions rather than measured effects.
"In the Weakening of Skills perspective, it is argued that excessive dependence on AI limits productivity and thinking skills."
Discussion¶
Related Claims¶
- Nursing students and faculty report concerns that AI use may weaken critical thinking, enable plagiarism and misinformation, and create unequal access — related
- Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
- Excessive GenAI reliance risks undermining foundational ICT knowledge, supporting supervised in-person assessment of foundational content — related
- Faculty members and students identify both user-related and algorithm-related ethical risks in AI use in education — related
- Faculty concerns centered on academic integrity (80%) and student over-reliance on AI (70%), and their most requested development topic was AI ethics and academic integrity (70%) — related
- Nursing academics fear GenAI overreliance undermines critical thinking, knowledge translation and graduates' readiness for safe clinical practice — possibly the same claim (merge candidate)
- Risk aversion plays a significant role in teachers' GenAI adoption decisions — related
- University academic staff express substantial concerns about academic integrity, ethics, and erosion of skills such as critical thinking and creativity in relation to GenAI. — a broader claim this one bears on
- Faculty members reported greater ethical-boundary strictness about GenAI than students, the only group difference surviving Bonferroni adjustment — related
- Over-reliance on GAI risks weakening teaching and social presence and depriving students of foundational skill development — a narrower finding that bears on this claim
- Engineering faculty report reluctant engagement with GenAI, concerns about cognitive offloading, and frustration with uncoordinated institutional policy — related
- Faculty observed that students engage shallowly with AI-generated content without structure, concluding productive use must be modeled — related
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- In higher education, the purported Silicon Valley revolution is undermined by detrimental effects on academic integrity and erosion of evidence-based pedagogical practices, compounded by the prevailing crisis of higher education — related
- An epistemological account of human-GAI engagement lays a foundation for alternative approaches to teaching, assessment, professional development and AI governance — related
- In first-year GenAI adoption in business higher education, curriculum-integrated modules reported enhanced student engagement, performance and employability, while fragmented approaches were more susceptible to ethical concerns, overreliance and inequality — related
- Teachers express concern that student overreliance on AI may degrade independent thinking and hands-on scientific skills — possibly the same claim (merge candidate)
- Among 245 Indonesian undergraduates, majorities reported concern about reduced critical thinking when depending on AI (75%), excessive reliance (73%), misinformation (70%) and unintentional plagiarism (69%), and 40% about algorithmic bias — related
- Both workshops proposed a dual assessment approach combining controlled AI-free testing and open AI-allowed assignments — a narrower finding that bears on this claim
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
long-term-ai-transformation-cognitive-skill-weakening-concerns |
title |
Faculty members and students anticipate AI will transform education and professions, sharing concerns that excessive dependence could weaken cognitive skills |
description |
Faculty members and students anticipate AI will transform education and professions, sharing concerns that excessive dependence could weaken cognitive skills |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — buket-bilgiç-and-demet-sever-2026, buket-bilgiç-and-demet-sever-2026-2 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.