Thematic analysis of interviews with academics and students about GenAI and assessment yielded three themes: emotions, academic role and identity; assessment must change; and the work and expertise required to change assessment.¶

Claim · All claims
Evidence · 1 study · qualitative r? · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Thematic analysis of semi-structured interviews with academics and students produced three themes about GenAI and assessment: emotions, academic role and identity; assessment must change; and the work and expertise required to change assessment. → Nicola-Richmond 2025

Evidence¶

Nicola-Richmond 2025¶

Nicola-Richmond, K., Dawson, P., Helen, P., & Macfarlane, S. (2025). It takes a village... Program-wide approaches to redesigning assessment in a time of generative artificial intelligence (GenAI). Journal of University Teaching and Learning Practice, 22(7). https://doi.org/10.53761/zpp2ja61

q2 · i? · qualitative · r?

Qualitative interpretivist study using semi-structured interviews with academics and students about GenAI and assessment; thematic analysis "developed three themes": emotions, academic role and identity; assessment must change; and the work and expertise required to change assessment. No effect size is reported.

"A qualitative interpretivist approach was adopted, using semi-structured interviews. When data were thematically analysed, three themes were developed; emotions, academic role and identity; assessment must change, and the work and expertise required to change assessment."

Discussion¶

Related Claims¶

• Academics and students experienced both positive and negative emotions in relation to GenAI. — a narrower finding that bears on this claim
• Qualitative themes: efficiency and peer influence drive AI use, while confidence and rule ambiguity shape students' perceptions of dependence — related
• GenAI-era ICT assessment reform requires a whole-of-institution transformation across seven sequential themes — related
• GenAI's immediate answers reduce engineering students' teacher-student interactions for generalizable tasks, while teachers remain preferred for complex problem-solving — related