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¶

Claim · All claims
Evidence · 1 study · qualitative r? · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Curriculum-integrated GenAI modules reported enhanced student engagement, performance, and employability. → Zhou 2026 q2 i? Fragmented GenAI approaches were more susceptible to ethical concerns, overreliance, and inequality. → Zhou 2026

Evidence¶

Zhou 2026¶

Zhou, X., Chai, Q., Chilukuri, B., & Quach, J. J. Y. (2026). From Experimentation to Integration: Embedding GenAI in Business Higher Education through the Lens of Constructive Alignment. Journal of University Teaching and Learning Practice, 23(2). https://doi.org/10.53761/pc04tp05

q2 · i? · qualitative · r?

Qualitative case study of 17 GenAI adoption cases at one UK Russell Group university during its first year of implementation. The authors report that "curriculum-integrated modules reported enhanced student engagement, performance, and employability" whereas fragmented approaches were more susceptible to ethical concerns, overreliance and inequality. No effect sizes are printed.

"The findings reveal a clear trade-off between depth of integration and educational impact: curriculum-integrated modules reported enhanced student engagement, performance, and employability, while fragmented approaches were more susceptible to issues such as ethical concerns, overreliance, and inequality."

Discussion¶

Related Claims¶

• 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
• Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
• First-year undergraduate business students reported high engagement and recognised the necessity of developing GenAI skills for their future careers — a narrower finding that bears on this claim
• Teachers raise big-picture concerns about GenAI including surveillance, over-reliance, reduced teacher collaboration, job replacement, and training needs — related
• Institutional barriers to AI integration — ethics concerns, insufficient training, policy gaps, and infrastructure limits — are widespread and co-occurring — 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
• Faculty members and students anticipate AI will transform education and professions, sharing concerns that excessive dependence could weaken cognitive skills — related
• Students report negative experiences with ChatGPT including inaccurate outputs, lack of emotional connection, and risk of overreliance, which constrain competence — related
• Staff recognise substantial opportunities to use GenAI to enhance teaching through streamlined administrative processes, improved curriculum and assessment design, and student-centred learning activities. — related
• Case-based learning benefits were reported particularly when GenAI was embedded in faculty-guided teaching, while complex cases and team workflows showed null or unfavorable effects — a narrower finding that bears on this claim
• Persistent research gaps in AI-integrated business education concern curriculum coherence, educator readiness, and assessment validity — related