Lessons from Social Media: Schools, Policy, and Teaching Responsible Use

Humans in AI – Creativity, Wellbeing & Technology in Education a researchers perspective Guest: Dr Rebecca Marrone, Lecturer & Researcher, University of South Australia   In this episode, Dan and Ray welcome Dr Rebecca Marrone to discuss the intersection of AI, creativity, and wellbeing in education. Her research explores how technology, especially AI, is transforming the educational landscape for both teachers and students.   Key Topics

• AI’s Impact on Teacher & Student Wellbeing
• Creativity & Critical Thinking in the Age of AI
• Ethical Risks of AI in Education
• Strategies for digital wellbeing and critical engagement.
• The evolving role of soft skills alongside technological advancements.

Connect & Learn More For more about Dr Rebecca Marrone’s research, listeners can reach out directly or explore her work online.   Find Rebecca on Linkedin and read her research publications via   Google Scholar‬     We mentioned Rebecca and Vitomir's critique of the Brainrot study https://theconversation.com/mit-researchers-say-using-chatgpt-can-rot-your-brain-the-truth-is-a-little-more-complicated-259450    In the podcast Rebecca highlighted George Siemens' research and newsletters: Newsletter archive: https://buttondown.com/SAIL/archive/ Google Scholar profile: https://scholar.google.com/citations?user=EtknWk4AAAAJ&hl=en&oi=ao    Research mentioned during this episode   Marrone, R., Taddeo, V., & Hill, G. (2022). Creativity and artificial intelligence—A student perspective. Journal of Intelligence, 10(3), 65. https://www.mdpi.com/2079-3200/10/3/65?trk=public_post_reshare-text    Marrone, R., Zamecnik, A., Joksimovic, S., Johnson, J., & De Laat, M. (2025). Understanding student perceptions of artificial intelligence as a teammate. Technology, Knowledge and Learning, 30(3), 1847-1869. https://link.springer.com/article/10.1007/s10758-024-09780-z    Marrone, R., Cropley, D. H., & Wang, Z. (2022). Automatic Assessment of Mathematical Creativity using Natural Language Processing. Creativity Research Journal, 35(4), 661–676. https://doi.org/10.1080/10400419.2022.2131209    Cropley, D. H., Theurer, C., Mathijssen, A. C. S., & Marrone, R. L. (2024). Fit-For-Purpose Creativity Assessment: Automatic Scoring of the Test of Creative Thinking – Drawing Production (TCT-DP). Creativity Research Journal, 1–16. https://doi.org/10.1080/10400419.2024.2339667 https://www.tandfonline.com/doi/full/10.1080/10400419.2024.2339667