poster

Teachers' Motivations to Learn about ML and AI

Authors:

Ethel Tshukudu,

Jane Waite,

Saman Rizvi,

Sue SentanceAuthors Info & Claims

ITiCSE '22: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2

Page 609

https://doi.org/10.1145/3502717.3532148

Published: 07 July 2022 Publication History

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Abstract

We describe the development and trial of a survey based on self-determination theory to investigate the motivations of K-12 teachers to learn ML and AI. Our participants (n=28) were most motivated by personal enjoyment (an intrinsic motivator) and student benefits rather than extrinsic factors, such as external pressure. We will further investigate teacher motivation, as we suggest that this is an important aspect of ML and AI education research.

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Nicole D Martin, Stephanie N Baker, Madeline Haynes, and Jayce R Warner. 2021. Development and Validation of the Motivation to Teach Computer Science Scale. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education .

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Waite, Jane. 2022. Teachers' motivations to learn AI survey questions. https://tinyurl.com/AITBelQ Retrieved February 16, 2022 from

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Cited By

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Bahr TManzocco MSchuster D(2024)Differentiated Tasks by ChatGPT for Secondary Computer Science Education: Useful or not?Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research10.1145/3677619.3678092(1-2)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3677619.3678092
Sanusi ITshukudu EMonga MLonati VBarendsen ESheard JPaterson J(2024)Exploring Barriers and Strategies to boost Scientific Output in Computing Education in Africa: Early InsightsProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653588(736-742)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3649217.3653588

Index Terms

Teachers' Motivations to Learn about ML and AI
1. Social and professional topics
  1. Professional topics
    1. Computing education

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Information

Published In

ITiCSE '22: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2

July 2022

686 pages

ISBN:9781450392006

DOI:10.1145/3502717

General Chairs:
Brett A. Becker
University College Dublin, Ireland
,
Keith Quille
Technological University Dublin, Ireland
,
Mikko-Jussi Laakso
University of Turku, Finland
,
Program Chairs:
Erik Barendsen
Radboud University & Open University, The Netherlands
,
Simon
Unaffiliated, Australia

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

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Published: 07 July 2022

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ITiCSE 2022: Innovation and Technology in Computer Science Education

July 8 - 13, 2022

Dublin, Ireland

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Overall Acceptance Rate 552 of 1,613 submissions, 34%

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June 27 - July 2, 2025

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Cited By

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Bahr TManzocco MSchuster D(2024)Differentiated Tasks by ChatGPT for Secondary Computer Science Education: Useful or not?Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research10.1145/3677619.3678092(1-2)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3677619.3678092
Sanusi ITshukudu EMonga MLonati VBarendsen ESheard JPaterson J(2024)Exploring Barriers and Strategies to boost Scientific Output in Computing Education in Africa: Early InsightsProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653588(736-742)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3649217.3653588

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