During his Ph.D. studies, Magnus has conducted a thorough design inquiry into artificial intelligence in the classroom of secondary schools. His work seeks to empower students to approach AI critically and scaffold the understanding necessary to do so. The work centers on six prototypes of learning tools and activities that have been deployed across several classroom.

Magnus contributes a framework for scaffolding Computational Empowerment in secondary school students with regards to AI with a particular focus on its technological foundations. He then contributes a set of six principles for designing learning tools and activities. Finally, he broadens the discussion to AI systems design, and argues for remarkableness as a central concepts for designers to consider to support Computational Empowerment in everyday AI systems. 

The PhD study was completed at Department of Computer Science, Faculty of Natural Sciences, Aarhus University.

Time: Thursday, March 30^th 2023 at 14-16
Place: Building 1510 room 104, Incuba Lille Auditorium, Computer Science, Aarhus University, Åbogade 15, 8200 Aarhus N
Title of PhD thesis: AI EDUCATION THAT MATTERS -- Designing Computationally Empowering Learning Tools for Machine Learning

Contact information: Magnus Høholt Kaspersen, e-mail: magnushk@cs.au.dk, tel.: +45 30 14 08 07

Members of the assessment committee:

• Professor Netta Iivari, INTERACT, University of Oulu, Finland
• Professor Stephan Wensveen, Department of Industrial Design, TU Eindhoven, Netherlands
• Professor ABCDE (chair), Department of Computer Science, Aarhus University, Denmark

Main supervisor: Professor Marianne Graves Petersen, Department of Computer Science, Aarhus University, Denmark

Language: The PhD dissertation will be defended in English

The defence is public.
The PhD thesis is available for reading at the Graduate School of Natural Sciences/GSNS, Jens Baggesens Vej 53, building 5221, 8200 Aarhus N.