Sentiment differs significantly across target audiences, with faculty-targeted guidelines more positive than student-targeted ones¶
Claim · All claims
Evidence · 1 study · qualitativer2·q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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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? Kruskal–Wallis testing revealed statistically significant differences in sentiment across audience categories, with post-hoc Dunn's test showing significant divergence between faculty- and student-targeted documents (p = 0.000460). → Yunjo An 2025
Evidence¶
Yunjo An 2025¶
Yunjo An, Ji Hyun Yu and Shadarra James. (2025). Investigating the higher education institutions' guidelines and policies regarding the use of generative AI in teaching, learning, research, and administration. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-025-00507-3
q2 · i? · qualitative · r2
Sentiment analysis across target audiences of the 214 documents: administrators had the highest mean (0.99675), faculty 0.976451, students 0.910272, researchers 0.8989. The Kruskal–Wallis statistic was 22.7987 (p = 0.0004), and Dunn's test showed "significant divergence between documents intended for faculty versus students". Other pairwise comparisons showed no significant differences.
"Post-hoc analysis with Dunn's test revealed significant divergence between documents intended for faculty versus students (p = 0.000460)."
Discussion¶
Related Claims¶
- Writing scores differed significantly by audience, with younger-student letters rated highest and teacher-directed letters lowest — related
- Perceived usefulness of AI and intent to continue using it differ significantly across challenge domains, with academic tasks rated most useful — related
- Sentiment scores in GenAI guidelines do not differ significantly by institution size, though small institutions show the highest mean — related
- Sentiment toward GenAI in university guidelines is highly positive and does not differ significantly between private and public institutions — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
audience-sentiment-difference-faculty-students |
title |
Sentiment differs significantly across target audiences, with faculty-targeted guidelines more positive than student-targeted ones |
description |
Sentiment differs significantly across target audiences, with faculty-targeted guidelines more positive than student-targeted ones |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-15 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — yunjo-an-2025 |
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