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Eliciting and empowering teachers' AI literacy: the devil is in the detail
Linnéuniversitetet.
University of Greenwich.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Communication, Quality Management, and Information Systems (2023-). (Software Engineering and Education)ORCID iD: 0000-0001-9372-3416
Linnéuniversitetet.
2024 (English)In: Proceedings of MIS4TEL 2024: Methodologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference, University of Salamanca, Spain, June 26th - 28th, 2024, Springer, 2024Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2024.
Series
Lecture Notes in Networks and Systems, E-ISSN 2367-3389 ; 1171
Keywords [en]
AI literacy, teacher education, generative AI, AI education, AI readiness
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:miun:diva-52214DOI: 10.1007/978-3-031-73538-7_13ISI: 001443939300013Scopus ID: 2-s2.0-85218973610ISBN: 978-3-031-73537-0 (print)ISBN: 978-3-031-73538-7 (electronic)OAI: oai:DiVA.org:miun-52214DiVA, id: diva2:1892029
Conference
Methodologies and Intelligent Systems for Technology Enhanced Learning
Available from: 2024-08-24 Created: 2024-08-24 Last updated: 2025-04-10Bibliographically approved

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Dobslaw, Felix

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf