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Multiple implementation initiatives and pilot projects have focused on a researchdriven integration of Artificial  Intelligence (AI)-supported teaching and learning into  concrete educational contexts (BUNDESREGIERUNG, 2018;  2021). However, there is currently less discussion about how  AI in higher education is compatible with academic  tasks regarding the design of individual teaching-learning interactions and cross-university goals. This paper  addresses this research desideratum by classifying higher  education tasks of according to discourses on educational  theory and then relating these to AI-supported learning  and teaching. Furthermore, the paper pleads for the  creation of educational goals (e.g., knowledge building or  personality formation) in AI applications on the one hand, and the establishment of techonology-free zones in  teaching on the other hand.

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