Here is where you will find our latest outputs, publications, events, findings, and general developments. We will continue to update this page as we progress through the project.
Publications
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., 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.
Student Survey
The survey developed to collect student data in 2024 is offered here under creative commons:
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 updated survey will be published soon through creative commons.
Summaries
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.
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.
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.
Media
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)
Talks
The following talks feature or make mention of our project and insights that are emerging from it.
- Chung, J., Henderson, M., Pepperell, N., Slade, S., Liang, Y., & Yu, S.(2024). Student use of Generative AI: Findings of a multi-institutional large-scale survey. ASCILITE 2024. Melbourne.
- Fawns, T., Henderson, M., Matthews, K. E., Oberg, G., Liang, Y., Walton, J., Corbin, T., Bearman, M., Buckingham Shum, S., McCluskey, T., McLean, J., Shibani, A., Bakharia, A., Lim, L., Pepperell, N., Slade, C., Chung, J., & Seligmann, A. (2024). Gen AI and student perspectives of use and ambiguity: A multi-institutional study. ASCILITE 2024. Melbourne.
- Bearman, M., Ajjawi, R., Boud, D., Cormier, D., & Tomlinson, M. (October, 2024). Panel: How could generative AI change work-integrated learning? CRADLE Symposium, Deakin University.
- Fawns, T. (October, 2024). AI Entanglements: Squinting into Education Futures. Plato’s Yarn, RMIT University School of Economics, Finance & Marketing.
- Fawns, T. (July, 2024). Change and continuity: An Entangled Pedagogy perspective on GenAI (Watch from 36:55). Keynote: NSW HE Summit. July, 2024.
- Matthews, K., Liu, D., McLean, J., Steel, A. & Maddison, S. (July, 2024). AI-Integrated HE Culture (Watch from 1:10:05). Panel Discussion: NSW HE Summit. July, 2024.
- Fawns, T. (July, 2024). AI Entanglements: Squinting into Education Futures. Keynote: University of New England Learning and Teaching Symposium.
- Henderson, M. (June, 2024). Generative AI and Learning Design: Enhancing or Eroding Educational Creativity? Keynote: The University of Adelaide, Festival of Learning and Teaching.
Events
The following events are a chance to hear directly from the project team.
Upcoming:
2025 HEDx Future Solutions Conference, Wednesday November 5, University of Queensland
Past:
Title: Riding the tiger of AI feedback: an AIinHE project update reporting on 7,000 students comparing teacher and AI feedback
2025 HEDx Future Solutions Conference, Wednesday April 2, State Library of Victoria
This presentation reported on insights from the survey about student use, motivations and trust of GenAI feedback.
Speakers: Margaret Bearman, Michael Henderson.
Title: How do students view, use, and expect AI to shape their tertiary education?
2024 HEDx Future Solutions Conference, Thursday October 31, University of Queensland
There have been a lot of speculation, assumptions and claims being made about how students are using generative AI. To empirically investigate student use and beliefs of generative AI, we conducted 20 focus groups with 79 students from four Australian universities. The findings demonstrated the nuanced, varied and sophisticated ways that students are using to think about what it means to be a student in the age of GenAI. We then created a comprehensive survey to capture large scale data (~4000 students) specific to the Australian higher education context. In this presentation, we will report preliminary findings from both the focus groups and survey, and briefly illustrate the use of AI to analyse this data. This will be followed by a panel discussion to elaborate on the implications for policy and practice.
Speakers: Margaret Bearman, Simon Buckingham Shum, Michael Henderson.
Facilitated by Kelly Matthews and Tim Fawns
AI in Higher Education: Students and AI Project 