Computer Science Education in Secondary School: A Real-Life Approach to Teaching Students Technology-Critical Aspects of AI

Elisa Nadire Caeli, Cecilie Svane Pedersen, Sine Zambach, Morten Misfeldt, Jeppe Bundsgaard

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Abstract

In this paper, we present a teaching material designed as part of a research project aiming to investigate approaches to teaching lower secondary school students technology-critical aspects of AI, specifically machine learning. The approach is scenario-based, meaning that students act in real-life roles, in this case in a fictional company that develops apps. The material has been tested in four classes in 2024, and analysis of the results is still ongoing. As part of our research, we examine whether and how a scenario-based approach contributes to understanding machine learning and its' use in the real world. Preliminary analysis suggests that participating students perceive the approach differently.
Original languageEnglish
Title of host publicationITiCSE 2025: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education, Volume 2
EditorsErik Barendsen, Floor Binkhorst, Ángel Velázquez-Iturbide, Jaime Urquiza Fuentes, James Paterson, Keith Quille
Number of pages2
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Publication date2025
Pages727-728
ISBN (Print)9798400715693
ISBN (Electronic)9798400715693
DOIs
Publication statusPublished - 2025
EventThe 30th ACM Conference on Innovation and Technology in Computer Science Education. ITiCSE 2025 - Radboud University, Nijmegen, Netherlands
Duration: 30 Jun 20252 Jul 2025
Conference number: 30
https://iticse.acm.org/2025/

Conference

ConferenceThe 30th ACM Conference on Innovation and Technology in Computer Science Education. ITiCSE 2025
Number30
LocationRadboud University
Country/TerritoryNetherlands
CityNijmegen
Period30/06/202502/07/2025
Internet address
SeriesProceedings of the Annual Conference on Innovation & Technology in Computer Science Education
Volume30
ISSN1942-647X

Keywords

  • Secondary school education
  • Scenario-based learning
  • Computer Science
  • Machine learning
  • AI

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