Our goal is to use AI to support learners individually in developing important generic competencies in parallel with the consolidation of subject-specific content - the focus is on empathy and digital media skills.

Starting situation

The number of students at German universities has risen sharply in recent years, and success rates in some degree programs have fallen short of expectations. At the same time, a shift in the required competence profiles of future graduates can be seen in the labor market. While the importance of factual knowledge and its reproduction is decreasing, the importance of professional and interdisciplinary competencies is increasing. Therefore, educational institutions are challenged to further develop their curricula and to provide students with the necessary subject-specific and generic competencies. In order to be able to build up corresponding competencies, teaching institutions must continuously accompany the learning process. Today, educational institutions have only a limited ability to provide these individual learning conditions for building competencies. The supervision ratio is too high in many courses of study to be able to respond to students individually. In this context, the intelligent use of AI systems that are didactically embedded in teaching-learning scenarios is a promising way to provide a more individualized learning experience, to promote learning success, and to counteract the increased problems related to the supervision ratio. Therefore, the Komp-HI project deals with the promotion of professional and generic competencies through socio-technical design of hybrid intelligence systems.

Aim of the project

The project aims to use AI to help learners build up and develop important skills in parallel with subject-specific content. The project focuses on empathy competence and digital media competence as important interdisciplinary competencies. In order to support the learners individually in building up their competencies, several didactic concepts based on learning psychology are to be used. The basic idea of the project idea is based on the provision of individual learning materials as well as individual and formative feedback throughout the entire learning process. In addition, the project will focus on the areas of common ground and scaffolding.

AI-based learning innovations require the most accurate possible analysis of individual competencies at the beginning of learning as well as a recording of learning progress in order to be able to accompany individualized learning processes as well as possible and provide competency-related feedback. Established approaches such as Common Ground and Scaffolding hold considerable potential to become more effective through such individualization. However, this approach leads to data protection challenges that go well beyond what is already being discussed for e-learning. In order to enable individual support for learners that is at the same time in line with data protection law and ethical framework conditions, a corresponding concept is to be developed and implemented as part of the project.

Project Team

  • Universität Kassel, Fachgebiet Wirtschaftsinformatik und Systementwicklung, Prof. Dr. Matthias Söllner
  • Universität Kassel, Fachgebiet Entwicklungspsychologie, Prof. Dr. Mirjam Ebersbach
  • Universität Kassel, Fachgebiet Allgemeine Psychologie, Prof. Dr. Ralf Rummer
  • Universität Kassel, Fachgebiet Technische Dynamik, Prof. Dr.-Ing. Hartmut Hetzler
  • Universität Kassel, Fachgebiet Wirtschaftsinformatik, Prof. Dr. Jan Marco Leimeister
  • Universität Kassel, Fachgebiet Öffentliches Recht, IT-Recht und Umweltrecht, Prof. Dr. Jur. LL.M. Gerrit Hornung


The Komp-Hi project is funded by the German Federal Ministry of Education and Research (BmBF). Funding code: 16DHBKI073