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The need to extend CBL courses over longer periods - a test case on a CBL course on IoT

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

We report on our gained insights from the development of a challenge-based learning (CBL) line focusing on entrepreneurship and internet of things (IoT) technology. We observe that student engagement and quality of project work and learning has significantly been improved when the original one-course CBL experience has spread out over three consecutive courses. We further suggest that for the case of multi- and interdisciplinary learning lines, focus on the different disciplines in different courses, encourages students to engage in aspects of CBL outside their own discipline, hence better fulfilling the design goal of true multidisciplinary learning.
Original languageEnglish
Title of host publicationEAEEIE 2023 - Proceedings of the 2023 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering
EditorsNico van der Aa
PublisherInstitute of Electrical and Electronics Engineers
Pages1-5
Number of pages5
ISBN (Electronic)978-90-386-5690-8
DOIs
Publication statusPublished - 20 Jun 2023
EventThe 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering, EAEEIE - Eindhoven, Netherlands
Duration: 14 Jun 2023 → 16 Jun 2023
https://www.fontys.nl/EAEEIE-2023.htm

Conference

ConferenceThe 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering, EAEEIE
Abbreviated titleEAEEIE
Country/TerritoryNetherlands
CityEindhoven
Period14/06/23 → 16/06/23
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • CBL
  • electrical engineering
  • industrial design
  • innovation sciences
  • real-life challenges
  • time on task

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