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Drivers and barriers of learning MBSE: design and validation of a RAG-based AI chatbot leveraging smart views

Förster, Felix (1); Ibrahim, Jaffar (1); Maack, Alexander (1); Landwehr, Juliane (1,2); Kaiser, Lydia (3,4); Bursac, Nikola (1)


Type:
Year:
2026
Editor:
Štorga, M.; Škec, S.; Martinec, T.; Marjanović, D.; Pavković, N.
Author:
Series:
DESIGN
Institution:
1: ISEM - Institute for Smart Engineering and Machine Elements, Hamburg University of Technology, Germany; 2: TRUMPF SE + Co. KG, Germany; 3: Technische Universität Berlin, Germany; 4: Einstein Center Digital Future, Germany
Page(s):
2941-2950
DOI number:
ISSN:
2732-527X (Online)
Abstract:
Learning MBSE is hindered by abstraction and complex tools. This paper identifies barriers via literature review and interviews to design a RAG-based chatbot acting as a "smart view" for contextual guidance. Evaluated through a semester-long field study and a controlled experiment, the prototype shows high usability and reduces cognitive load. While performance is comparable to traditional e-books, the RAG-enabled system effectively mitigates entry-level barriers and aids authentic project work through stepwise tutoring, offering a scalable, interactive complement to MBSE education.
Keywords:

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