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extended-abstract

Opportunities and Challenges of Teaching Machine Learning as a Design Material with the micro:bit

Authors:

Karl-Emil Kjær Bilstrup,

Magnus Høholt Kaspersen,

Marie-Louise Stisen Kjerstein Sørensen,

Marianne Graves PetersenAuthors Info & Claims

NordiCHI '22 Adjunct: Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference

Article No.: 45, Pages 1 - 6

https://doi.org/10.1145/3547522.3547689

Published: 08 October 2022 Publication History

Abstract

There has been a growing focus on preparing children for navigating a future where digital technologies, such as Machine Learning (ML), are present in both society and personal life. In order to let students explore how ML is embedded into our infrastructure, we designed ml-machine.org, an educational tool for creating ML models with the micro:bit, and incorporating them into interactive systems, thus making ML a design material. Through an in-situ pilot study in an 8th grade classroom we demonstrates that students were able to redesign everyday objects around the possibilities and limitations imposed by ML, but that they struggled to understand more advanced parts of ML such as data representation. Based on these experiences we discuss focus areas for future directions of the tool: Enriching machine learning as a design material; exposing machine learning design practices; addressing the difficult parts.

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Cited By

Underwood LFinney JRubegni EHodges S(2024)Tangible tools for data science educationProceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research10.1145/3677619.3678134(1-2)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3677619.3678134
Underwood LBall THodges SRubegni Ede Halleux PFinney J(2024)MicroCode: live, portable programming for children via roboticsAdjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3672539.3686334(1-3)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3672539.3686334
Benjamin JLindley JEdwards ERubegni EKorjakow TGrist DSharkey R(2024)Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory StudyProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660677(1823-1841)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660677
Show More Cited By

Index Terms

Opportunities and Challenges of Teaching Machine Learning as a Design Material with the micro:bit
1. Computing methodologies
  1. Machine learning
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
  2. Interaction design
    1. Systems and tools for interaction design

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NordiCHI '22 Adjunct: Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference

October 2022

216 pages

ISBN:9781450394482

DOI:10.1145/3547522

Copyright © 2022 Owner/Author.

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

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Published: 08 October 2022

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Villum Fonden

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NordiCHI '22

NordiCHI '22: Nordic Human-Computer Interaction Conference

October 8 - 12, 2022

Aarhus, Denmark

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Cited By

Underwood LFinney JRubegni EHodges S(2024)Tangible tools for data science educationProceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research10.1145/3677619.3678134(1-2)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3677619.3678134
Underwood LBall THodges SRubegni Ede Halleux PFinney J(2024)MicroCode: live, portable programming for children via roboticsAdjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3672539.3686334(1-3)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3672539.3686334
Benjamin JLindley JEdwards ERubegni EKorjakow TGrist DSharkey R(2024)Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory StudyProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660677(1823-1841)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660677
Kaspersen MMusaeus LBilstrup KPetersen MIversen ODindler CDalsgaard P(2024)From Primary Education to Premium Workforce: Drawing on K-12 Approaches for Developing AI LiteracyProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642607(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642607
Bilstrup KKaspersen MBouvin NPetersen M(2024)ml-machine.org: Infrastructuring a Research Product to Disseminate AI Literacy in EducationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642539(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642539

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