Staff recognise substantial opportunities to use GenAI to enhance teaching through streamlined administrative processes, improved curriculum and assessment design, and student-centred learning activities.¶

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

Subclaims¶

q2 i? Staff saw GenAI opportunities in streamlined administrative processes and improved curriculum and assessment design. → Enright 2026 q2 i? Staff saw opportunities for innovative, student-centred learning activities using GenAI. → Enright 2026

Evidence¶

Enright 2026¶

Enright, H., Horvath, D., Petrovic, K., & Šarkić, B. (2026). “AI Should Help them Learn, Not Learn for Them”: University Staff Perspectives on the Role of Generative AI in Education. Journal of University Teaching and Learning Practice. https://doi.org/10.53761/d5n2yh02

q2 · i? · associational · r?

In the same 2023 staff survey, staff "recognised substantial opportunities for using GenAI to enhance teaching practices," naming streamlined administration, curriculum and assessment design, and student-centred learning activities. Findings are reported descriptively with no printed effect sizes.

"Conversely, staff recognised substantial opportunities for using GenAI to enhance teaching practices through streamlined administrative processes, improved curriculum and assessment design, and innovative, student-centred learning activities."

Discussion¶

Related Claims¶

• GenAI is argued to create an opportunity to move assessment away from sorting and ranking students toward recognising diverse ways of knowing — related
• First-year undergraduate business students reported high engagement and recognised the necessity of developing GenAI skills for their future careers — related
• AI integration is associated with improvements in teaching, learning, and administrative efficiency in higher education when supported by adequate infrastructure — a broader claim this one bears on
• Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
• AI adoption in higher education is associated with improved teaching practices, learner engagement and curriculum innovation — a broader claim this one bears on
• 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 — related
• GenAI in CS education is argued to enhance student engagement, support equitable learning, and relieve instructional burden — related
• GenAI is reshaping assessment practices in computer science education through automation, scalability, and personalized feedback — related