AKILAS - Adaptive and intelligent AI learning assistant in a school context

The aim of the joint project ‘AKILAS - adaptive and intelligent AI learning assistant in the school context’ (2021-2024) was to identify the potential and challenges of AI-based applications for the school context. Our work focused on analysing the ethical, legal and social implications (ELSI) of new human-machine interaction in the school context. Particular attention was paid to the social acceptance of parents and teachers towards the use of AI in schools, as well as data protection issues. Another central focus of the project was the potential of AI-based applications for the provision of personalised feedback, which is adapted to the language and knowledge level of the students, recognises individual misconceptions and responds to them.

The project was funded by the Federal Ministry of Education and Research (BMBF).

Project management: Prof. Dr. Manfred Stede (Angewandte Computerlinguistik, Universität Potsdam)
Association partner: Prof. Dr. Sebastian Stober (Artifical Intelligence Lab, Otto-von-Guericke-Universität Magdeburg), David Hörmeyer (solocode GmbH Berlin)
Team at the University of Potsdam: Prof. Dr. Katrin Böhme (Inklusionspädagogik im Bereich Sprache, Universität Potsdam), Janne Mesenhöller