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AI literacy in Swedish Teacher Education

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The aim is to explore, define and evaluate AI literacy in/for in Teacher Education, with a focus on what teacher educators and teacher students for K 12 education need to know. This entails establishing evidence and good practice in relation to content, pedagogy, technology and ethics for teaching AI literacy, through responding to three research questions:

  1. What is relevant AI literacy in Swedish Teacher Education that target K 12 education?
  2. How can teaching activities in terms of learning artefacts, pedagogical approaches, subject matters and ethics be arranged to support teacher educators and future teachers to develop their own and their future students AI literacy?

Contact

Research Leader

linst58

Linnéa Stenliden

Senior Associate Professor
Cormac McGrath.

Cormac McGrath

Senior Lectur
  • Stockholm University

Research Group

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Fredrik Heintz

Professor, Head of Division, Head of Unit
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Katarina Sperling

PhD student
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Carl-Johan Stenberg

PhD student
Anna Åkerfeldt.

Anna Åkerfeldt

Project leader
  • IFOUS

Publikationer

Cover of publication ''
Katarina Sperling, Linnéa Stenliden, Jörgen Nissen, Fredrik Heintz (2022)
Still w(AI)ting for the automation of teaching: An exploration of machine learning in Swedish primary education using Actor-Network Theory

European Journal of Education , Vol.57 , s.584-600 Continue to DOI

Research area

Young girl and AI symbols.

Digital media, communication and education

This knowledge field is interested in digital media, information visualization and AI in education. Post-qualitative methods contribute to issues of digital interaction, literacy, multimodality, machine learning, education and policy reform.

Organisation

Division of Learning, Aesthetics, Natural Science (LEN)

LEN is a division at IBL engaged in education and research within the Faculty of Educational Sciences at Linköping University.
University park behind house I.

Department of Behavioural Sciences and Learning (IBL)

Human behaviour and learning is the focus for education and research at the department. We educate students and scientists that are well equipped to meet future challenges in society and working life.
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Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

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