Artificial Intelligence in Higher Education

Komp-HI - Flexible and Individual Support of Disciplinary and Interdisciplinary Competencies through Socio-technical Design of Systems of Hybrid Intelligence

Our Goal

Individually supporting learners to develop important interdisciplinary skills with the help of AI parallel to deepening subject-specific content - the focus is on empathy and digital media skills

Project Plans

The interdisciplinary Komp-HI project aims to deepen and support subject-specific content and interdisciplinary skills in tandem. The focus of the interdisciplinary skills is on empathy and digital media skills.

Individual learning material and feedback will be provided during the pilot phase and evaluation in the Faculty of Mechanical Engineering. The use of AI systems, which are didactically and meaningfully embedded in teaching and learning scenarios, enables individualised learning experiences and promotes learning success. Several didactic concepts based on learning psychology are to be used.

The basic idea of the project is based on the provision of customised learning materials as well as individual and formative feedback throughout the entire learning process. In addition to the applicability, effectiveness and target achievement of the measures, aspects of acceptance on the part of teachers and learners should also be included. To this end, systematic piloting of AI-based learning innovations is planned within the Faculty of Mechanical Engineering.

AI-based learning innovations require the most precise possible analysis of individual competencies at the start of learning as well as the recording of learning progress in order to be able to accompany individualised learning processes and provide competency-based feedback.

 

Funding

"Richtlinie zur Bund-Länder-Initiative zur Förderung der Künstlichen Intelligenz in der Hochschulbildung" by the Bundesministerium für Bildung und Forschung (BMBF)

Funding period: 01.12.2021 - 30.11.2025

Project Members

  • University of Kassel, Department of Information Systems and Systems Engineering, Prof. Dr. Matthias Söllner

  • University of Kassel, Department of Developmental Psychology, Prof. Dr. Mirjam Ebersbach

  • University of Kassel, Department of Cognitive Psychology, Prof. Dr. Ralf Rummer

  • University of Kassel, Department of Technical Dynamics, Prof. Dr.-Ing. Hartmut Hetzler

  • University of Kassel, Department of Information Systems, Prof. Dr. Jan Marco Leimeister

  • University of Kassel, Department of Public Law, IT Law and Environmental Law, Prof. Dr. Jur. LL.M. Gerrit Hornung

Project Website

For further information, please visit our project website.

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