AI in Higher Education: What’s going on? And what are we going to do about it?

Abstract

The fast pace of AI developments and the complexities of developing policy and guidelines for the use of AI in Higher Education (Venaruzzo, et al., 2023) creates a need for staff and students to develop AI literacy in order to use it effectively and ethically in education and employment contexts. Building on digital literacy, AI literacy involves developing the knowledge and skills to ‘critically evaluate AI technologies’ to enable their use as a tool in education and the workplace (Long & Magerko, 2020, p.2; Venaruzzo, et al., 2023). Ongoing engagement with evidence-based examples, training opportunities, regulatory guidelines, and institutional priorities are essential strategies to support academics and students to develop AI literacy and competency (Venaruzzo, et al., 2023).

The purpose of this presentation is to review and collate practical guidance, resources, and examples that UNE staff can use to grow their AI literacy and to develop effective teaching and learning strategies. We’ll explore some of the resources UNE has developed to support staff and students so far, and outward to where others have gone in this rapidly evolving new era.

References:
Long, D. & Magerko, B. (2020, April). ‘What is AI literacy? Competencies and Design Considerations.’ Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Honolulu, HI, USA: ACM (April 2020) pp1-16. https://doi.org/10.1145/3313831.337672

Venaruzzo, L., Ames, K., & Leichtweis, S. (2023, March 9). ‘Embracing AI for student and staff productivity.’ Australasian Council on Open Distance and eLearning (ACODE). Canberra, Australia. DOI: https://doi.org/10.14742/apubs.2023.401

Synopsis