Course syllabi name specific GenAI tools — ChatGPT in 90 of 98 — while institutional guidelines contain no code for specific tools¶
Claim · All claims
Evidence · 1 study · qualitativer3·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
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? Nearly all syllabi mentioned specific GenAI tools, with ChatGPT most frequent, while the institutional-level code mapping shows no institutional code captured for specific tools. → Amrita Ganguly 2026
Evidence¶
Amrita Ganguly 2026¶
Amrita Ganguly, Aditya Johri, Nora McDonald, Areej Ali, Umama Dewan, and Aayushi Hingle Collier. (2026). A Comparative Analysis of Institutional and Course Generative AI Policies within Higher Education: Implications for Instruction in Computing Education. https://arxiv.org/abs/2607.12296 doi:10.48550/arxiv.2607.12296
q2 · i? · qualitative · r3
Course syllabus coding of the 98 CS syllabi recorded tool mentions; Table 2 rates the Specific Tools code as low alignment because no code appeared for the institution level guidelines regarding different GenAI tools.
"Nearly all syllabi (N=91) mentioned specific tools; “ChatGPT” (N=90) was mentioned the most, followed by “CoPilot” (N=25)."
Discussion¶
Related Claims¶
- Institutional guidance cautions instructors about privacy (60% of institutions) while syllabi more often flag veracity of GenAI output and hindering learning — related
- Course syllabi anthropomorphize GenAI — 39% attribute living characteristics such as a GenAI Assistant — a theme absent from institutional guidelines — related
- Institutional GenAI guidance is more pro-use than computing course syllabus policies, where 92% of syllabi set explicit permissions and half prohibit use outright — related
- Both institutional and course-level guidance emphasize transparency and acknowledging or citing GenAI use, with 83% of syllabi providing explicit citation guidance — 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
- Most undergraduate students in computer science–related programs are unaware of their institution's GenAI regulations (62.25% not aware; 25.83% aware) — related
- Only 9 of 23 courses publicly named AI tools, with Claude Code, Cursor, and GitHub Copilot most frequent and a fragmented long tail — related
- Among the 50 most innovative U.S. universities, instructor-set syllabus-level governance is the dominant GenAI convergence, with 33 of 50 providing syllabus or course-policy guidance — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
specific-tools-named-in-syllabi-not-institutional |
title |
Course syllabi name specific GenAI tools — ChatGPT in 90 of 98 — while institutional guidelines contain no code for specific tools |
description |
Course syllabi name specific GenAI tools — ChatGPT in 90 of 98 — while institutional guidelines contain no code for specific tools |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — amrita-ganguly-2026 |
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