A pronounced AI adaptation gap exists across university groups: students report higher current AI-use intensity and perceived usefulness than faculty and administrative staff, whereas staff report stronger academic integrity concerns and greater endorsement of responsible-use norms¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r2 · q3 · i2–i3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims¶

q3 i2 Students had significantly higher current AI-use intensity than faculty (g = 0.79) and administrative staff (g = 0.98), and higher perceived usefulness than both groups. → Braun 2026 q3 i3 Faculty and administrative staff reported stronger academic integrity concerns than students (g = 0.81 and g = 0.75 respectively), with no significant difference between the two staff groups. → Braun 2026 (2)

Evidence¶

Braun 2026¶

Braun, Y. S., & Khafizov, S. M. (2026). The AI Adaptation Gap in Higher Education: Students, Faculty, and Administrative Staff: AI Use, Trust, and Institutional Policy at a University Specializing in Teacher Education. https://arxiv.org/abs/2608.25063 doi:10.48550/arxiv.2608.25063

q3 · i2 · associational · r2

Welch one-way ANOVA and Bonferroni-adjusted Welch t-tests across the three role groups of the cross-sectional survey found a significant group effect on current AI-use intensity (eta² = 0.083); "students had higher current AI-use intensity than faculty ( g = 0.79, adjusted p < 0.001)".

"In pairwise comparisons, students had higher current AI-use intensity than faculty ( g = 0.79, adjusted p < 0.001) and administrative staff ( g = 0.98, p < 0.001)."

Braun 2026 (2)¶

Braun, Y. S., & Khafizov, S. M. (2026). The AI Adaptation Gap in Higher Education: Students, Faculty, and Administrative Staff: AI Use, Trust, and Institutional Policy at a University Specializing in Teacher Education. https://arxiv.org/abs/2608.25063. doi:10.48550/arxiv.2608.25063

q3 · i3 · associational · r2

Pairwise Welch comparisons on the academic integrity concerns index showed "g = 0.81 for faculty versus students and g = 0.75 for administrative staff versus students", both significant; faculty and administrative staff did not differ (p = 1.000).

"Faculty and administrative staff reported stronger academic integrity concerns than students: g = 0.81 for faculty versus students and g = 0.75 for administrative staff versus students, with p < 0.001 in both cases."

Discussion¶

Related Claims¶

• Weekly AI use differs sharply across groups even though nearly all groups report similar prevalence of any AI-service use, with administrative staff highest in prevalence but lowest in weekly use — a narrower finding that bears on this claim
• Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
• In the pooled OLS model of current AI-use intensity, perceived usefulness (β = 0.322) and competence (β = 0.268) are the strongest positive associations, while institutional policy clarity shows no association after adjustment — related
• Students and faculty use AI for different tasks: students for applied learning activities, faculty for academic and instructional tasks — related
• Faculty members reported greater ethical-boundary strictness about GenAI than students, the only group difference surviving Bonferroni adjustment — related
• Professional staff show a pragmatically compressed GenAI profile with high ethical awareness and the widest span of create-level endorsement of any cohort — related
• Faculty perceptions of student ethical inadequacy contradict students' own acceptance of ethical responsibility, with both groups showing pragmatic conscious acceptance of AI — related
• Students exhibit an inverted competence profile, endorsing creation-level GenAI tasks above several foundational items that would normally precede them — related