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The thesis examines how critical AI literacy can come to be in mathematics education. This is explored in relation to steering documents, pre-service teacher education, and classroom context. The results indicate that mathematics education with critical and ethical perspectives on AI technology is didactically possible, in the sense that teacher education and mathematics lessons can be shaped around such goals. However, the results also indicate that the traditions of mathematics education and expectations about what mathematics and mathematics education are and should be, are characterized by notions that contrast with such learning about AI technology.
Anette Emilson, Susanne Thulin, Christian Andersson, Thomas Beery, Ingmarie Bengtsson, Camilla Forsberg, Ingela Friberg, Marie Fridberg, Anna Henriksson, Agneta Jonsson, Anders Jönsson, Kristina Lund, Petra Magnusson, Sven Persson, Andreas Redfors, Linda Reneland-Forsman, Ann Steen, Carita Sjöberg Larsson, Charlotte Tullgren, Monika Vinterek
Sarah Schulman, Jonny Hjelm, Antonio Gramsci, Anders Stephanson, Marcus Lauri, Paulina De los Reyes, Anders Björnsson, Christian Andersson, Bo Rothstein, Klas Åmark, Mikael Stigendal
Rolf Å. Gustafsson, Ulf Bjereld, Marco d’Eramo, Jon Sunnerfjell, Mats Benner, Jonny Hjelm, Göran Therborn, Bengt Olle Bengtsson, Anders Björnsson, Bo Rothstein, Christian Andersson
Bibi Jonsson, Per Anders Wiktorsson, Gustav Borgsgård, Beata Agrell, Ingrid Nestås Mathisen, Åsa Arping, Anders Öhman, Catharina Bergman, Anna Forssberg, Anna Linzie, Christer Ekholm, Ewa Bergdahl, Birthe Sjöberg, Christine Hamm, Peter Forsgren, Per-Olof Mattsson, Vera Ydrefelt, Elin Stengrundet, Hanna Aspegren, Margaretha Ullström, Nicklas Freisleben Lund, Magnus Öhrn, Magnus Nilsson, Annika Olsson