This paper presents a Knowledge-Based Recommender System (KBRS) that aims to align course recommendations with students' career goals in the field of information systems. The developed KBRS uses the European Skills, Competences, qualifications, and Occupations (ESCO) ontology, course descriptions, and a Large Language Model (LLM) such as ChatGPT 3.5 to bridge course content with the skills required for specific careers in information systems. In this context, no reference is made to the previous behavior of students. The system links course content to the skills required for different careers, adapts to students' changing interests, and provides clear reasoning for the courses proposed. An LLM is used to extract learning objectives from course descriptions and to map the promoted competency. The system evaluates the degree of relevance of courses based on the number of job-related skills supported by the learning objectives. This recommendation is supported by information that facilitates decision-making. The paper describes the system's development, methodology and evaluation and highlights its flexibility, user orientation and adaptability. It also discusses the challenges that arose during the development and evaluation of the system.

Designing courses for introductory programming courses with a heterogeneous audience (business and IT background as well) is a challenging task. In an internal project of the School of Business at the FHNW University of Applied Sciences and Arts Northwestern Switzerland (FHNW) a group of lecturers developed a concept entitled “Model-based agile development” (MBAD) which supports the learning of elementary programming concepts in an agile environment and builds the basis for advanced courses. MBAD will be used as a basic learning module for various Bachelor programs at the FHNW.

Zusammenfassung: In diesem Beitrag befassen wir uns mit der Entscheidung zur Zulassung von potenziellen Studierenden zu einem Studiengang. Die Anwendung steht stellvertretend für Entscheidungen, bei denen aufgrund von vorgegebenen Kriterien einigen Menschen der Zugang zu Gütern und Dienstleistungen gewährt und anderen verweigert wird. Weitere Beispiele sind die Gewährung von Beihilfen wie Sozialhilfe oder Stipendien, die Vergabe von Krediten, der Anspruch auf eine medizinische Behandlung oder die Vergabe von Fördermitteln.