Supporting students to develop artificial intelligence literacy
DOI:
https://doi.org/10.14742/apubs.2024.1199Keywords:
artificial intelligence literacy, evaluative judgement, entanglement, self-regulated learningAbstract
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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Copyright (c) 2024 Dr Paula de Barba, A/Prof Jason Lodge, A/Prof Tim Fawns, Prof Margaret Bearman
This work is licensed under a Creative Commons Attribution 4.0 International License.