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S.P.O.T: A Game-Based Application for Fostering Critical Machine Learning Literacy Among Children

Published: 19 June 2023 Publication History

Abstract

This paper describes S.P.O.T., a game-based application for promoting children's practical understanding of ML concepts and applications. Current tools for teaching ML in K-12 engage students in playful exploration of ML mechanisms and teach ML from a cognitive perspective. However, in S.P.O.T, learners interact with ML within real-life sociopolitical contexts and examine how ML predictions impact their daily lives and communities. Through the immersion of stories that mirror children's lived experiences, S.P.O.T. provides elementary school aged children with opportunities to learn how machine learning applications function and develop children's abilities to critically examine, question, and reimagine the consequences of ML decisions in the real world.

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Cited By

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  • (2024)"Artificial intelligence is a very broad term": How educators perceive Artificial Intelligence?Proceedings of the 2024 International Conference on Information Technology for Social Good10.1145/3677525.3678677(315-323)Online publication date: 4-Sep-2024
  • (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
  • (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
  • Show More Cited By

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Information

Published In

cover image ACM Conferences
IDC '23: Proceedings of the 22nd Annual ACM Interaction Design and Children Conference
June 2023
824 pages
ISBN:9798400701313
DOI:10.1145/3585088
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 June 2023

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Author Tags

  1. AI
  2. Critical Pedagogies
  3. Elementary School
  4. Game-Based Learning
  5. Machine Learning

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  • Extended-abstract
  • Research
  • Refereed limited

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IDC '23
Sponsor:
IDC '23: Interaction Design and Children
June 19 - 23, 2023
IL, Chicago, USA

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Overall Acceptance Rate 172 of 578 submissions, 30%

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Cited By

View all
  • (2024)"Artificial intelligence is a very broad term": How educators perceive Artificial Intelligence?Proceedings of the 2024 International Conference on Information Technology for Social Good10.1145/3677525.3678677(315-323)Online publication date: 4-Sep-2024
  • (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
  • (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
  • (2024)"When He Feels Cold, He Goes to the Seahorse"—Blending Generative AI into Multimaterial Storymaking for Family Expressive Arts TherapyProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642852(1-21)Online publication date: 11-May-2024
  • (2024)Shifting roles and slow research: children’s roles in participatory co-design of critical machine learning activities and technologiesBehaviour & Information Technology10.1080/0144929X.2024.2313147(1-22)Online publication date: 7-Feb-2024

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