Integrating AI Tools with Campus Infrastructure to Support the Life Cycle of Study Regulations

13 pages•Published: August 9, 2023

Abstract

When implementing study regulations in student information systems, teachers’ intuitive ideas often differ from the later IT mapping. In this article, a rationalisation (both economic and psychological) of such processes is being pursued. The ultimate goal is an AI-based assistance system which provides support for the generation, validation, accreditation and use of study regulations. Advanced AI tools could support a wide range of business capabilities within curriculum design as identified in the Higher Education Reference Model (HERM). Further objectives of this approach are to increase the consistency of individual study planning with study regulations and to support study guidance. Our symbolic approach applies common semantics of natural language and abstract logic which acts as a bridge between the legal norm and the course offerings. The article explains the general concept, introduces the developed technological architecture and presents single tools as well as their integration with the existing IT infrastructure on campus. The curriculum design use case involving extraction and interpretation of the coded knowledge, collaborative editing of study regulations, and fine-grained versioning of study regulations within the creation process is demonstrated and discussed. Finally, the resulting benefits, remaining challenges and future directions are discussed.

Keyphrases: Artificial Intelligence, curriculum life cycle, higher education, micro-service architecture, semantic modelling, student information system

In: Jean-François Desnos and Martín López Nores (editors). Proceedings of European University Information Systems Congress 2023, vol 95, pages 332--344

Links:	https://easychair.org/publications/paper/wqph
	https://doi.org/10.29007/jjf9