Generative AI Resources

Introduction to AI

Sabzalieva, E., & Valentini, A. (2023). ChatGPT and artificial intelligence in higher education: quick start guide. UNESDOC Digital Library. https://unesdoc.unesco.org/ark:/48223/pf0000385146

Miao, F., & Holmes, W.  (2023). Guidance for generative AI in education and research. UNESDOC Digital Library. https://doi.org/10.54675/EWZM9535

Strategies for assessment redesign

Lye, C.Y., & Lim, L. (2024). Generative artificial Intelligence in tertiary education: Assessment redesign principles and considerations. Education Sciences, 14(6), Article 569. https://doi.org/10.3390/educsci14060569

Furze, L. (2024, August 28). Updating the AI assessment scale. https://leonfurze.com/2024/08/28/updating-the-ai-assessment-scale/ 

Chan, C., & Colloton, T. (2024). Redesigning assessment in the AI era. In C. Chan & T. Colloton (Eds.), Generative AI in higher education: The ChatGPT effect (pp. 87-126). Taylor & Francis.https://doi.org/10.4324/9781003459026

Hsiao, Y-P., Klijn, N., & Chiu, M-S. (2023). Developing a framework to re-design writing assignment assessment for the era of Large Language Models. Learning: Research and Practice, 9(2), 148-158. https://doi.org/10.1080/23735082.2023.2257234

Rowland, D. R. (2023). Two frameworks to guide discussions around levels of acceptable use of generative AI in student academic research and writing. Journal of Academic Language and Learning, 17(1), T31-T69.https://journal.aall.org.au/index.php/jall/article/view/915

Weisz, J. D, He, J., Muller, M., Hoefer, G., Miles, R., & Geyer, W. (2024). Design principles for generative AI applications. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24), May 11–16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 22 pages.https://doi.org/10.1145/3613904.3642466

Nerantzi, C., Abegglen, S., Karatsiori, M., & Martínez-Arboleda, A. (Eds.). (2023). 101 creative ideas to use AI in education: A crowdsourced collection. Zenodo.https://doi.org/10.5281/zenodo.8355454

Kurtz, G., Amzalag, M., Shaked, N., Zaguri, Y., Kohen-Vacs, D., Gal, E., Zailer, G., & Barak-Medina, E. (2024). Strategies for integrating generative AI into higher education: Navigating challenges and leveraging opportunities. Education Sciences, 14(5), Article 503. https://doi.org/10.3390/educsci14050503

[Coming Soon] Assessment typology

The following documents (intended for SUSS staff only) present a collection of use cases by SUSS colleagues. Get inspired and explore ideas on how assessments can be redesigned. Click on each of the headers to read more.

Use Case 1: Designing Language Testing Materials

Students exploring generative AI to develop and evaluate language testing materials in accordance with principles of assessment.

More use cases coming soon.

Note: SUSS log-in credentials are required for internal links.

Interested in submitting a new case study to showcase your work related to AI in learning, teaching and assessment? Email [email protected] to find out more.

The assessment redesign consultation is a mentoring session to support faculty and associates to redesign assignments and assessment in the era of Generative AI.

Make an appointment - Online consultation

Please ensure you book an appointment at least three (3) working days in advance, and we will get back to you with the meeting invitation.

Consultant: Dr Lye Che Yee

Notes:

1. Consultation sessions will be held every second Friday of the month, between 2.30pm to 4.00pm (unless otherwise stated).
   
2. Each consultation session lasts for 30 minutes, i.e., three sessions every month.
   
3. Consultations will be conducted online via Zoom.
   
4. Maximum of four (4) faculty and/or associates per session.

Click here to book a consultation slot.