Results

Oberg, G., Liang, Y., Bearman, M., Fawns, T., Henderson, M., & Matthews, K.E. (2026). Feeling AI: Circulating emotions, institutional climates, and moral boundaries in student use of AI. Higher Education, 1-19. https://doi.org/10.1007/s10734-026-01658-6

Chung, J., Henderson, M., Slade, C., Liang, Y., Pepperell, N., Corbin, T., Walton, J., Yu, A.S., Bearman, M., Shum, S.B., Fawns, T., McCluskey, T., McLean, J., Oberg, G.,Seligmann, Shibani, A., Bakharia, A., Lim, L.A., & Matthews, K. E. (2026). The use and usefulness of GenAI in higher education: Student experience and perspectives. Computers and Education Open, 100347. https://www.sciencedirect.com/science/article/pii/S2666557326000182

Bearman, M., Fawns, T., Corbin, T., Henderson, M., Liang, Y., Oberg, G., Walton, J., & Matthews, K. E. (2025). Time, emotions and moral judgements: how university students position GenAI within their study. Higher Education Research & Development, 1–15. https://doi.org/10.1080/07294360.2025.2580616.

Henderson, M., Bearman, M., Chung, J., Fawns, T., Buckingham Shum, S., Matthews, K. E., & de Mello Heredia, J. (2025). Comparing Generative AI and teacher feedback: student perceptions of usefulness and trustworthiness. Assessment & Evaluation in Higher Education, 1–16. https://doi.org/10.1080/02602938.2025.2502582.

The survey developed to collect student data in 2024 is offered here under a Creative Commons license:

Chung, J., Henderson, M., Pepperell, N., Slade, C., Liang, Y. (2024). Student perspectives on AI in Higher Education: Student Survey. Student Perspectives on AI in Higher Education Project. https://doi.org/10.26180/27915930

The 2026 survey, updated from the 2024 survey, will be available soon under a Creative Commons license.

2-pager: HEDx Survey Highlights – Feedback – Handout
(April 2025)

Highlights from the survey relating to student use of GenAI for feedback, created in preparation for our panel at the HEDx Future Solutions Conference, April 2025.

• HEDx Survey Highlights – Feedback – Handout

2-pager: HEDx Survey Highlights – usage – Handout
(October 2024)

Highlights from the survey, created by UQ design team in preparation for our panel at the HEDx Future Solutions Conference, October 2024.

• HEDx Survey Highlights Handout

1-pager: Guidance for Academics: How students talk about GenAI
(August 2024)
Guidance for students and academics created by UQ students Alessandra Tran and Claudia Indraputri, supported by Kelly and Christine, who analysed our UQ-specific student focus group data.

Guidance for Academics 

Guidance for Students

Open source resources developed through the Co-labs will be published here as they become finalised. 

Students & AI: Five assumptions (Future Campus)

This series draws on emerging results from the project to question flawed assumptions about students and AI, offering a more nuanced look at issues of cheating, integrity, and learning. 

Assumption 1: students lack integrity with AI (Margaret Bearman and Tim Fawns, 06/11/2024)

Assumption 2: Students Are Using GenAI in the Same Way (Jack Walton and Christine Slade, 12/11/2024)

Assumption 3: Students don’t know how to use AI critically (Antonette Shibani and Lisa-Angelique Lim, 19/11/2024)

Assumption 4: Students’ use of AI is motivated by laziness (Michael Henderson, Jennifer Chung and Alice Yu, 26/11/2024).

Assumption 5: Students Love AI (Glenys Oberg and Yifei Liang, 03/12/2004)