Velander, Johanna, Otero, Nuno ORCID: 0000-0003-2446-8727 , Dobslaw, Felix and Milrad, Marcelo (2024) Eliciting and empowering teachers' AI literacy: the devil is in the detail. In: Proceedings of MIS4TEL 2024: Methodologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference, University of Salamanca, Spain, June 26th - 28th, 2024. Lecture Notes in Networks and Systems (LNNS), 765 . Springer. (In Press)

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Abstract

An emerging challenge from the rapid integration of Artificial Intelligence (AI) in society and education is how to prepare teachers for this evolving reality. Teachers need to integrate Generative AI (GenAI) into their teaching practices and educate students about AI within their specific teaching contexts. Although several frameworks have been published to guide AI literacy education, these frameworks often remain abstract and disconnected from the actual teaching environments where AI literacy needs to be applied. This disconnect makes it difficult to link the theoretical knowledge proposed in these AI literacy frameworks to the specific AI-related requirements that teachers face. Pinpointing AI literacy aspects relevant to teachers’ specific teaching contexts and prior knowledge is needed for guiding teachers to relevant Continuous Professional Development (CPD) and supporting materials. Thus, to address these challenges we have developed a method that has recently been tested and piloted with teachers. The results of our efforts suggest that the tested method effectively triggers discussions about us- ing GenAI in teaching contexts. Distinct patterns of interaction with the GenAI application emerged, which are discussed in the paper with the long-term goal of developing tools to identify misconceptions about AI and enhance understanding.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings of MIS4TEL 2024: Methodologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference, University of Salamanca, Spain, June 26th - 28th, 2024
Uncontrolled Keywords:	AI literacy; teacher education; generative AI; AI education; AI readiness
Subjects:	L Education > L Education (General) Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	30 May 2024 08:40
URI:	http://gala.gre.ac.uk/id/eprint/47287

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