Journal of Science Education and Technology - Special Issue Call for Papers - Intersections of Mind and Machine: Exploring the Convergence of Generative Artificial Intelligence, Science Education, and Pre-Service Teachers
The advancement in machine learning and neural networks has catalyzed significant breakthroughs in generative artificial intelligence (GenAI) (Li et al., 2023; Wang, 2019). These technological changes are impacting science education in different ways, introducing a range of new opportunities, challenges, and tensions (Zhai, 2023; Cooper, 2023). Amidst these developments, there is a burgeoning discourse on the intersections between science education and GenAI, as illustrated by Billingsley et al. (2023). A significant gap, however, remains in the literature about research on pre-service teachers’ (PST) application of GenAI in science education (Cooper, 2023). Consequently, the objective of this special issue is to spotlight research that addresses the convergence of GenAI, science education and pre-service teachers. This invitation extends to researchers, educators, and policymakers who are keen to explore how GenAI technologies have impacted the experiences, perceptions, and/or training of PSTs in science education. We encourage submissions that investigate the use of text, audio, and image GenAI tools and welcome empirical research about the application of GenAI and/or stakeholder perspectives, novel conceptual frameworks, and detailed case studies. This issue represents an important opportunity to advance our understanding of GenAI’s use in science education, seeking to foster a rich dialogue that bridges theoretical insights and practical applications in preparing the next generation of educators.
Submission Guidelines:
Authors are invited to submit original, unpublished manuscripts that are not currently under review by other journals. Submissions should adhere to the journal's guidelines (this opens in a new tab). All submitted manuscripts will undergo a rigorous peer-review process.
Timeline:
Deadline for Manuscript Submission: 30th April 2024
Peer Review: May-June 2024
Revision/Resubmission: July-August 2024
Final Acceptance: September 2024
How to Submit:
Submit your manuscripts online via the JOST submission portal (this opens in a new tab). When submitting, please ensure that you select submission to Special Issue.
Guest Editors:
Grant Cooper (Curtin University, Australia), Kok-Sing Tang (Curtin University, Australia), Angela Fitzgerald (RMIT University, Australia)
Inquiries:
For more information, please first visit the JOST website and look for the special issue call under the ‘Journal updates’ header. For further inquiries regarding this special issue, please email Guest Editor Grant Cooper grant.cooper@curtin.edu.au (this opens in a new tab) .
References:
Billingsley, B., Zeidler, D., & Grzes, M. (2023). Call for papers: The future of knowledge: Conversations about artificial intelligence and epistemic insight. Science & Education. Springer. https://www.springer.com/journal/11191/updates/23312040 (this opens in a new tab)
Cooper, G. (2023). Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence. Journal of Science education and technology. 32 (1), 444–452. https://doi.org/10.1007/s10956-023-10039-y (this opens in a new tab)
Li, T., Reigh, E., He, P., & Adah Miller, E. (2023). Can we and should we use artificial intelligence for formative assessment in science? Journal of Research in Science Teaching, 60(6), 1385-1389. https://doi.org/10.1002/tea.21867 (this opens in a new tab)
Wang, P. (2019). On defining artificial intelligence. Journal of Artificial General Intelligence, 11(2). https://doi.org/10.2478/jagi- 2019-0002 (this opens in a new tab)
Zhai, X. (2023). ChatGPT for next generation science learning. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4331313 (this opens in a new tab)