AI and Swedish K-12 education: Findings from a practice-centred perspective
In the “new era of automation,” there is a growing interest in the potential of machine learning (ML) and other artificial intelligence (AI) technologies in primary education. Teaching aids with integrated Learning Analytics (LA), powered by AI and ML, are increasingly being introduced into K-12 classrooms worldwide, often underpinned by the concepts of automation and personalisation. While these technologies are said to transform education, there are also concerns about their impact on teachers, students, and the broader social and cultural contexts in which they operate. This seminar draws on ethnographic fieldwork as part of a PhD project, providing preliminary findings and insights into how these emergent technologies are being introduced in Swedish schools.
Katarina Sperling is a PhD candidate in pedagogical work at Linköping University in Sweden, where her research focusses on the intersection of data-driven artificial intelligence (AI) and teacher practices. In particular, Katarina investigates the use of AI-based educational technologies in K-12 classrooms and how they interact with teachers. She is also involved in two major projects on AI literacy in Swedish K-12 education and teacher education, funded by the Wallenberg AI, Autonomous Systems, and Software Program – Humanities and Society (WASP-HS) and the Swedish Research Council. Aside from her research work, Katarina has worked as a strategist at the Research and Development Department at the Education Office in Norrköping, Sweden since 2016. In this role, she initiated and managed several EU-funded projects focused on the digitalisation of schools, including projects on computational thinking in primary education and preschool, as well as personalised learning. Prior to this she served as a production manager for Norrköping’s Visualization Center C, a science centre and meeting place that promotes visualisation in research, business, the public, and schools.
2.00 pm—3.00 pm Friday 9 June 2023
Deakin Downtown, Level 12 Tower 2, Collins Square, 727 Collins Street, Docklands and online (Zoom).
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