Further Resources

GenAI is an incredibly fast-changing technology. The strategies presented in this resource are just one means of navigating this new landscape and there are many other educators and experts offering their ideas too. We have listed some below as further reading, but please contact us with suggestions of additional resources.

Policies

Resources

Flipboard Collection of AI in Education Resources
Danny Liu’s overview of five things to get right about generative AI in education
Jason Lodge’s TEQSA resource: The evolving risk to academic integrity posed by generative artificial intelligence: options for immediate action

Research

Bertram Gallant, T. (2017). Academic integrity as a teaching & learning issue: From theory to practice. Theory Into Practice, 56(2), 88–94. https://doi.org/10.1080/00405841.2017.1308173

Cotton, D. R., Cotton, P. A & Shipway, J.R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 1-12. https://doi.org/10.1080/14703297.2023.2190148

Foltynek, T., Bjelobaba, S., Glendinning, I., Khan, Z. R., Santos, R., Pavletic, P., & Kravjar, J. (2023). ENAI recommendations on the ethical use of Artificial Intelligence in Education. International Journal for Educational Integrity, 19(1). https://doi.org/10.1007/s40979-023-00133-4

Rundle, K., Curtis, G. J., & Clare, J. (2023). Why students do not engage in contract cheating: A closer look. International Journal for Educational Integrity, 19(1). https://doi.org/10.1007/s40979-023-00132-5

Dawson, P., Bearman, M., Dollinger, M., & Boud, D. (2024). Validity matters more than cheating. Assessment & Evaluation in Higher Education, 1–12. https://doi.org/10.1080/02602938.2024.2386662