Automation of Homologation

Conference Paper (2023)
Author(s)

Chris J. M. Verhoeven (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Anton J. M. Montagne (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Electronics
DOI related publication
https://doi.org/10.23919/EAEEIE55804.2023.10181626 Final published version
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Publication Year
2023
Language
English
Research Group
Electronics
ISBN (print)
979-8-3503-4676-3
ISBN (electronic)
978-90-386-5690-8
Event
2023 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE) (2023-06-14 - 2023-06-16), Eindhoven, Netherlands
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Abstract

We are developing content and software to automate the homologation for our Electronics courses to deal with the increasing diversity in knowledge and skills of the master students who have completed their bachelor’s at other universities. The courses’ content has been structured such that dependencies between topics become explicit. A parameterized database was created with questions characterized with, e.g., subject, Bloom level, and many other tags. It enables the generation of questions and personalized quizzes for individual students at any time. This allows teachers and students to gain insight into the student’s level of knowledge and skills and provide adequate feedback at any time. The questions and complete quizzes can also be exported to learning platforms like Brightspace.

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