iModuleBuddy - a hybrid AI-based academic planning system

Typ
04B - Beitrag Konferenzschrift
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Selected Papers of the 3rd International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems (HybridAIMS 2025) and the 1st Workshop on Compliance in the Era of Artificial Intelligence (CAI 2025) co-located with the 37th International Conference on Advanced Information Systems Engineering (CAiSE 2025)
Themenheft
DOI der Originalpublikation
Zugehörige Forschungsdaten
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
21-29
Patentnummer
Verlag / Herausgebende Institution
Sun SITE, Informatik V, RWTH Aachen
Verlagsort / Veranstaltungsort
Aachen
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
iModuleBuddy is a study planner that helps postgraduate students create personalized study plans. It combines course recommendation with long-term planning and considers students’ professional background, career goals, and individual study preferences. The system integrates structured data from the ESCO ontology and course descriptions with vector-based similarity methods and retrieval-augmented generation (RAG). A key component is the JobRanking algorithm, which prioritizes courses based on the relevance of a student’s career history. The system uses a multi-agent architecture: one agent aligns professional experience with suitable courses, while another organizes these into a multi-semester plan. Based on user input, iModuleBuddy generates different study plans—career-focused, balanced, and preference-based—along with explanations of how the recommended courses contribute to career development. The system is currently under development, with the career-focused plan already implemented and the other variants in progress.
Schlagwörter
Fachgebiet (DDC)
Projekt
Veranstaltung
37th Conference on Advanced Information Systems Engineering (CAiSE)
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
peer-reviewed
Open Access-Status
Diamond
Lizenz
'https://creativecommons.org/licenses/by/4.0/'
Zitation
Spahic, M., Witschel, H. F., Porumboiu, D., Rosati, P., Hierro Canchari, P. J. P., & Kostic, M. (2025). iModuleBuddy - a hybrid AI-based academic planning system. In J. Grabis, Y. Wautelet, E. Laurenzi, H. F. Witschel, P. Haase, M. Montali, C. Cabanillas, A. Marrella, M. Resinas, & K. Winter (Eds.), Selected Papers of the 3rd International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems (HybridAIMS 2025) and the 1st Workshop on Compliance in the Era of Artificial Intelligence (CAI 2025) co-located with the 37th International Conference on Advanced Information Systems Engineering (CAiSE 2025) (pp. 21–29). Sun SITE, Informatik V, RWTH Aachen. https://doi.org/10.26041/fhnw-15960