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Developing Computing Teacher Guidance on GenAI

Published: 06 November 2024 Publication History

Abstract

Generative AI (GenAI) is becoming widely available for use in schools by teachers and students. While many educators appreciate the potential benefits of GenAI for enhancing learning, there are also significant concerns about authorship, authenticity, plagiarism, ethics, biases, and the broader implications of their use in education. For computing teachers in schools, these issues can be even more acute. In this project, we established a working group of practising computing teachers to bring together a range of views and experiences. Initial results of the project led to a booklet for computing teachers on how to use GenAI, illustrating the effectiveness of teacher-researcher partnerships in developing resources for school use. This project will be followed by further work on computing teachers’ actual experience of GenAI in practice.

References

[1]
Bodong Chen, Xinran Zhu, 2023. Integrating generative AI in knowledge building. Computers and Education: Artificial Intelligence 5 (2023), 100184.
[2]
Department for Education. 2023. Generative artificial intelligence (AI) in education: Policy Paper. https://www.gov.uk/government/publications/generative-artificial-intelligence-in-education/generative-artificial-intelligence-ai-in-education
[3]
Sunny Man Chu Lau and Saskia Stille. 2014. Participatory research with teachers: Toward a pragmatic and dynamic view of equity and parity in research relationships. European Journal of Teacher Education 37, 2 (2014), 156–170.
[4]
Cynthia Zastudil, Magdalena Rogalska, Christine Kapp, Jennifer Vaughn, and Stephen MacNeil. 2023. Generative AI in computing education: Perspectives of students and instructors. In 2023 IEEE Frontiers in Education Conference (FIE). IEEE, College Station, TX, USA, 1–9. https://doi.org/10.1109/FIE58773.2023.10343467

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UKICER '24: Proceedings of the 2024 Conference on United Kingdom & Ireland Computing Education Research
September 2024
87 pages
ISBN:9798400711770
DOI:10.1145/3689535
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: 06 November 2024

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Author Tags

  1. AI education
  2. K-12 education
  3. generative AI
  4. teachers

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UKICER 2024

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