A Conceptual Approach to an AI-Supported Adaptive Study System for Individualized Higher Education Services

In the context of the digital transformation, the targeted implementation of AI-based or AI-supported technologies in "teaching& learning," as well as "administration& service," holds considerable potential for organizational change and quality enhancement for higher education institutions. The use of AI in higher education teaching and services lags behind the level in research. Therefore, holistic solutions must be planned and implemented in unity of teaching and research for the AI-based support of the stakeholders' inclusive administration, the further development or the establishment of new digital study programs and offers, as well as the prospective qualification of university staff in the field of AI. The applications that currently exist do not generally fit into a holistic concept. Therefore, they must be analyzed, systematized, and structured to generate a conceptual approach via an integrated architecture with adaptive services. A cross-university, transdisciplinary and modular system approach is being pursued to transfer AI methods as supporting technologies into the regular operation of teaching and associated services at the university in an interdisciplinary project over several years. From study orientation to the use of new study programs, the procedures at different process and structural levels of the university are made more flexible by means of AI and transferred into adaptive services for the individualization of learning and teaching. The paper explains the conceptual approach for the further development of the AI-based education system at a university and presents the first results of planning, developments, and applications. Selected case studies related to the characteristics of paths for study orientation and study specialization, as well as for special learning profiles serve as illustrations.