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In this in-depth interview, Daisy Christodoulou explores the evolution of AI in education assessment, focusing on the capabilities and limitations of large language models and AI auto-marking systems. She discusses the history, current state, and future potential of AI in assessment, emphasising the importance of human oversight and the challenges of AI interpretability. Daisy Christodoulou discusses the impact of AI on education, assessment, professional development, and resource creation, emphasising the importance of human oversight and strategic integration of technology. Access the show notes here: podcast.mrbartonmaths.com/215-ai-in-education-with-daisy-christodoulou
By Craig Barton4.7
3434 ratings
In this in-depth interview, Daisy Christodoulou explores the evolution of AI in education assessment, focusing on the capabilities and limitations of large language models and AI auto-marking systems. She discusses the history, current state, and future potential of AI in assessment, emphasising the importance of human oversight and the challenges of AI interpretability. Daisy Christodoulou discusses the impact of AI on education, assessment, professional development, and resource creation, emphasising the importance of human oversight and strategic integration of technology. Access the show notes here: podcast.mrbartonmaths.com/215-ai-in-education-with-daisy-christodoulou

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