Pam McKinney here, live-blogging from the ECIL conference in Bamberg. This was the fourth presentation in the first set of parallel sessions on day one, this is going to be a conference packed with new ideas and research! Anna Mierzecka, Małgorzata Kisilowska-Szurmińska, Marek Deja, Karolina Brylska from University of Warsaw, Poland and Jagiellonian University, Poland collaborated to design an AI readiness scale for academic activities. They used the Technology Acceptance Model to inform the study, which covers concepts such as the perceived usefulness of technology to predict how it will be adopted. They also drew on concepts of critical information literacy and motivational and situational contexts of technology adoption to inform the study. The AI readiness scale covered four areas of academic activity: 1) conceptual tasks, 2) analytical tasks, 3) discussion and conclusion tasks and 4)editing tasks.
Academic staff at the two universities were surveyed about the 43 factors included in the preliminary model, and 69 complete responses were received. This probably represents a self-selection bias in that the people who responded already had some interest in AI use. The analysis identified three causes of AI readiness: access satisfaction, falling behind and perceived pressure. Job stress and digital change pressure reduced motivation to use AI. Institutional or peer pressure can increase readiness to adopt AI. Academics were most open to using AI for analytical or editorial tasks, but were reluctant to use AI for creative tasks. The authors were keen to stress that this is a preliminary analysis only, and they intend to extend the research in the future.
No comments:
Post a Comment