research-article

Five Design Recommendations for Teaching Teenagers’ about Artificial Intelligence and Machine Learning

Authors:

Marie-Monique Schaper,

Mariana Aki Tamashiro,

Rachel Charlotte Smith,

Maarten Van Mechelen,

Ole Sejer IversenAuthors Info & Claims

IDC '23: Proceedings of the 22nd Annual ACM Interaction Design and Children Conference

Pages 298 - 309

https://doi.org/10.1145/3585088.3589366

Published: 19 June 2023 Publication History

Abstract

Technologies based on AI/ML are playing an increasingly prominent role in teenagers’ everyday lives. Mirroring this trend is a concomitant interest in teaching young people about intelligent technologies. Whereas previous research in the field of Child–Computer Interaction has proposed curriculum and learning activities that describe what teenagers need to learn about AI/ML, there is still a shortage of studies which specifically address teenager-centered perspectives in the teaching of AI/ML. This paper presents a study of teenagers’ everyday understanding of AI/ML technologies. Using a thematic analysis of the teenagers’ own explanations during a series of workshops, we present a conceptual map of the teenagers’ understandings of these technologies. We go on to propose five general recommendations for the teaching of AI/ML to teenagers through the lens of Computational Empowerment. Taken together, these recommendations serve as a teenage-centered starting point for teaching young people about intelligent technologies, an approach that can be implemented in future research interventions with similar objectives.

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Cited By

Marx EWitt CLeonhardt T(2024)Identifying Secondary School Students' Misconceptions about Machine Learning: An Interview StudyProceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research10.1145/3677619.3678114(1-10)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3677619.3678114
Kasinidou MBoratto LGena CMarras MGermanakos PPopescus E(2024)Development of Personalised Educational Tools for AI Literacy Using Participatory DesignAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3664917(30-34)Online publication date: 27-Jun-2024
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Kasinidou MKleanthous SOtterbacher J(2024)"AI is a robot that knows many things": Cypriot children's perception of AIProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3659414(897-901)Online publication date: 17-Jun-2024
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Index Terms

Five Design Recommendations for Teaching Teenagers’ about Artificial Intelligence and Machine Learning
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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IDC '23: Proceedings of the 22nd Annual ACM Interaction Design and Children Conference

June 2023

824 pages

ISBN:9798400701313

DOI:10.1145/3585088

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Published: 19 June 2023

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Cited By

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https://dl.acm.org/doi/10.1145/3677619.3678114
Kasinidou MBoratto LGena CMarras MGermanakos PPopescus E(2024)Development of Personalised Educational Tools for AI Literacy Using Participatory DesignAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3664917(30-34)Online publication date: 27-Jun-2024
https://dl.acm.org/doi/10.1145/3631700.3664917
Kasinidou MKleanthous SOtterbacher J(2024)"AI is a robot that knows many things": Cypriot children's perception of AIProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3659414(897-901)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3628516.3659414
Iivari NIversen OSmith RSchaper MVentä-Olkkonen LHartikainen HSharma SKinnula MLehto EHolappa JMolin-Juustila T(2024)Transformative agency – the next step towards children's computational empowermentProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655806(322-337)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3628516.3655806
Zhou XZhou YGong YCai ZQiu AXiao QAntle ABai Z(2024)"Bee and I need diversity!" Break Filter Bubbles in Recommendation Systems through Embodied AI LearningProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655802(44-61)Online publication date: 17-Jun-2024
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Zhou XXiong PXiao QBai Z(2024)OptiDot: An Optical Interface for Children to Explore Dot Product and AI RecommendationExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651040(1-7)Online publication date: 11-May-2024
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Belghith YMahdavi Goloujeh AMagerko BLong DMcklin TRoberts J(2024)Testing, Socializing, Exploring: Characterizing Middle Schoolers’ Approaches to and Conceptions of ChatGPTProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642332(1-17)Online publication date: 11-May-2024
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Pope NVartiainen HKahila JLaru JTedre M(2024)A No-Code AI Education Tool for Learning AI in K-12 by Making Machine Learning-Driven Apps2024 IEEE International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT61570.2024.00037(105-109)Online publication date: 1-Jul-2024
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