Automation of Homologation

Conference Paper (2023)
Author(s)

C. Verhoeven (TU Delft - Electronics)

A.J.M. Montagne (TU Delft - Electronics)

Research Group
Electronics
Copyright
© 2023 C.J.M. Verhoeven, A.J.M. Montagne
DOI related publication
https://doi.org/10.23919/EAEEIE55804.2023.10181626
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 C.J.M. Verhoeven, A.J.M. Montagne
Research Group
Electronics
ISBN (print)
979-8-3503-4676-3
ISBN (electronic)
978-90-386-5690-8
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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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