An AI-Supported Adaptive Study System for Individualized University Services

In the context of digital transformation, the targeted use of AI-based or AI-supported technologies in the areas of “teaching & learning” and “administration & service” holds considerable potential for organizational change and quality improvements at universities. The use of AI in university teaching and services lags behind the state of research. Therefore, holistic solutions must be planned and implemented in the unity of teaching and research for AI-based support of stakeholders, including administration, the further development and establishment of new digital degree programs and offerings as well as the future qualification of university staff in the field of AI. Existing applications are increasingly being embedded in the process landscape at universities using integrated architectures with adaptive services. In an interdisciplinary project, a cross-university, transdisciplinary and modular system approach will be pursued over several years in order to transfer AI methods as supporting technologies into the regular operation of teaching and the associated services at the university. From study orientation to the implementation of new degree programs, the processes at various structural levels of the university are being made more flexible with the help of AI and transformed into adaptive services for the individualization of learning and teaching. This article shows the relevance of the use of AI for teaching and administrative purposes at universities. Synergies between AI-based technologies and teaching practices are presented and the implementation of AI methods at a university is exemplified.