Undergraduate business students strongly support integrating GenAI knowledge and application into higher education curricula¶
Claim · All claims
Evidence · 1 study · qualitativer?·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? Thematic analysis of qualitative responses from 166 capstone business students revealed strong support for integrating GenAI knowledge and application into higher education curricula. → Rook 2026
Evidence¶
Rook 2026¶
Rook, L., & Plumb, M. (2026). Integrating Generative Artificial Intelligence into University Curricula: Student Insights. Journal of University Teaching and Learning Practice, 23(2). https://doi.org/10.53761/jjzzd330
q2 · i? · qualitative · r?
Qualitative thematic analysis of open-ended responses from 166 undergraduate business students enrolled in a capstone unit, examining perceptions of GenAI in academic learning and career readiness. The analysis found "strong support for integrating GenAI knowledge and application into higher education curricula". No effect size is reported for this qualitative finding.
"Thematic analysis revealed strong support for integrating GenAI knowledge and application into higher education curricula, with students identifying three priority areas for development"
Discussion¶
Related Claims¶
- Students identify exploring GenAI applications across contexts as a second priority area for curriculum development — a narrower finding that bears on this claim
- Students identify navigating ethical and legal dimensions of GenAI as a third priority area for curriculum development — a narrower finding that bears on this claim
- A qualitative case study of 17 GenAI adoption cases in a UK business school identified current integration practices along with associated benefits, challenges and influencing factors — related
- First-year undergraduate business students reported high engagement and recognised the necessity of developing GenAI skills for their future careers — related
- Students identify understanding and optimising GenAI functionality as a first priority area for curriculum development — a narrower finding that bears on this claim
- Students' key areas of interest in GenAI are real-world business applications, ethical considerations, and future technological advancements — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
business-students-support-genai-curriculum-integration |
title |
Undergraduate business students strongly support integrating GenAI knowledge and application into higher education curricula |
description |
Undergraduate business students strongly support integrating GenAI knowledge and application into higher education curricula |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — rook-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.