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Stephen Gow and Lucy Turner-Voakes: A new chapter for artificial intelligence in higher education
Manage episode 438882579 series 3598739
תוכן מסופק על ידי Phil Martin. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Phil Martin או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
This conversation from May 2023 took place in the wake of the launch of ChatGPT 3.5. We cover responses from institutions, policy, implications for teaching and assessment, questions raised and opportunities for research, and other topics.
Stephen Gow is responsible for the coordination of standards, assessment and academic integrity at the University of York, he has been working in this evolving role since 2014. Stephen spent 5 years in China prior to working at the University, he studied Chinese at Fudan University before teaching EAP at the Sydney Institute of Language and Commerce, Shanghai University and Tsinghua University. While working in China and then at the British Council, Cairo, Stephen completed his MRes at the Institute of Education before completing a PhD at the University of York. His research concerns understanding the educational, social, cultural, political and economic causes of the stereotype of Chinese students as susceptible to plagiarism. He is Chair of the Northern Academic Integrity Special Interest Group exploring sector wide approaches to contract cheating and is now focusing his research on the implications of artificial intelligence for academic integrity.
Related links European Network for Academic Integrity: https://www.academicintegrity.eu/wp/
JISC: Explore AI: https://exploreai.jisc.ac.uk/
UNESCO report on ChatGPT: https://www.iesalc.unesco.org/en/2023/04/14/chatgpt-and-artificial-intelligence-in-higher-education-quick-start-guide-and-interactive-seminar/
Sinica podcast: https://thechinaproject.com/2023/03/11/chinas-draft-regulations-on-generative-ai-with-kendra-schaefer-and-jeremy-daum/
Li, Y., et al. (2023). Can large language models write reflectively? https://www.sciencedirect.com/science/article/pii/S2666920X2300019X?via%3Dihub
Bearman, M. & Ajjawi, R. (2023). Learning to work with the black box: Pedagogy for a world with artificial intelligence. https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.13337
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