A new paper explores how generative AI, specifically large language models, are being adopted and perceived within higher education settings. The study highlights that user engagement with these tools is shaped by 'imagined affordances' – how users perceive the potential uses of the technology rather than its objective functionalities. This concept, drawing on the work of Archer and Nagy & Neff, suggests that educators play a role similar to designers in guiding student adoption through their expectations. AI
IMPACT Suggests that understanding user perceptions and expectations is key to effectively integrating generative AI tools in academic environments.
RANK_REASON The cluster contains a new academic paper discussing the use of generative AI in higher education. [lever_c_demoted from research: ic=1 ai=1.0]
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