Supporting students to develop artificial intelligence literacy

Authors

DOI:

https://doi.org/10.14742/apubs.2024.1199

Keywords:

artificial intelligence literacy, evaluative judgement, entanglement, self-regulated learning

Abstract

This panel explores strategies for supporting students in developing artificial intelligence (AI) literacy within higher education. The aim is to address the gap between technology-enabled learning and teaching activities and student adoption. Research highlights fundamental differences in how students learn and their learning conditions, impacting their ability to effectively incorporate digital technologies. The evolving definition of AI literacy emphasises awareness, ability, and social impact. Panelists include Associate Professor Jason Lodge (The University of Queensland), Professor Margaret Bearman (Deakin University), Associate Professor Tim Fawns (Monash University), and Dr Paula de Barba (Monash University). Topics covered include evaluative judgment, the dynamic nature of AI literacy, and self-regulated learning. The panel format includes presentations and audience-driven discussions, emphasising the need to balance students’ capabilities with their learning environment.

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Published

2024-11-11

Issue

Section

ASCILITE Conference - Symposia / Panels