Automation of Homologation

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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.
Original languageEnglish
Title of host publicationProceedings of the 2023 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE)
EditorsNico van der Aa
PublisherIEEE
Number of pages5
ISBN (Electronic)978-90-386-5690-8
ISBN (Print)979-8-3503-4676-3
DOIs
Publication statusPublished - 2023
Event2023 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE) - Eindhoven, Netherlands
Duration: 14 Jun 202316 Jun 2023
Conference number: 32

Publication series

NameEAEEIE 2023 - Proceedings of the 2023 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering

Conference

Conference2023 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE)
Country/TerritoryNetherlands
CityEindhoven
Period14/06/2316/06/23

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • personalized homologation
  • question database
  • automated test generation
  • grade prediction
  • Brightspace interface

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