Journal article
The impact of artificial intelligence on scientific practices: an emergent area of research for science education
- Abstract:
- Artificial intelligence (AI) is now a major driver of societal acceleration making a significant impact on science and science education. AI is used by scientists to generate hypotheses, design experiments, collect and interpret data in ways that were not previously possible with traditional methods alone. Science education research is increasingly paying attention to the role of AI in teaching and learning. However, a significant gap in the emerging science education literature on AI concerns the impact of AI on scientific practices themselves, and implications such impact for science education. The article uses the NRC (2012. A framework for K-12 science education: practices, crosscutting concepts, and core ideas. National Academies Press.) framework of ‘scientific practices’ to trace example uses of AI in scientific practices and raises questions for science education. The questions relate to the relevance of AI-informed scientific practices for science curriculum, teaching and teacher education at the secondary level. The ultimate purpose of the article is to highlight that the sooner the role of AI on scientific practices are researched and applied in science education policy and practice, the less likely that education will become outdated in helping students thrive in the fast changing landscape of scientific research.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.2MB, Terms of use)
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- Publisher copy:
- 10.1080/09500693.2024.2306604
Authors
- Publisher:
- Taylor & Francis
- Journal:
- International Journal of Science Education More from this journal
- Volume:
- 46
- Issue:
- 18
- Pages:
- 1982-1989
- Publication date:
- 2024-02-04
- Acceptance date:
- 2024-01-14
- DOI:
- EISSN:
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1464-5289
- ISSN:
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0950-0693
- Language:
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English
- Pubs id:
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1607793
- Local pid:
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pubs:1607793
- Deposit date:
-
2024-01-29
Terms of use
- Copyright holder:
- Erduran and Levrini
- Copyright date:
- 2024
- Rights statement:
- © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
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