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Introducing Teenagers to Machine Learning through Design Fiction: An Exploratory Case Study

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review


In this paper, we describe an exploratory study of how design fiction can be used to introduce machine learning (ML) to 14-15 year old students in an engaging way. The study describes three sessions conducted online that combined hands-on and design fiction activities related to supervised ML, focusing on facial analysis. Based on semi-structured interviews and field notes, we discuss how the design fiction approach seemed to be engaging and supportive for students' reflection on their relationship with technology. In future work, we will expand the study to include a larger number of students, assess their learning, and further explore connections between ML and its societal implications.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Interaction Design and Children (IDC 2021)
Number of pages5
Place of publicationNew York
PublisherAssociation for Computing Machinery
Publication yearJun 2021
ISBN (electronic)9781450384520
Publication statusPublished - Jun 2021
EventIDC'21: Interaction Design and Children (IDC) - online, Greece
Duration: 24 Jun 202130 Jun 2021



    Research areas

  • CEED, machine learning, K-12 education, emergent technology, facial recognition, design fiction, CCTD, #CCTD

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