娇色导航 Bites, issue 13: Education & generative AI
Generative artificial intelligence (GenAI) now sits at the heart of the everyday rhythms of schooling and higher education, affecting how we plan lessons, communicate with learners, assess work...
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Lixiang Yan is an Assistant Professor at the Institute for Artificial Intelligence in Education, Tsinghua University. He specialises in the intersecting fields of artificial intelligence (AI), educational technology and learning analytics, with a research focus on the deep integration of cutting-edge technology and human learning processes. In recognition of his
innovative work in multimodal learning analytics and the application of generative AI, he has been selected for the National High-Level Young Talent Program. Dr Yan鈥檚 research is centred on two core contribution areas: first, he pioneers the application of multimodal learning analytics in complex collaborative learning environments to reveal deep-seated behavioural patterns and interaction mechanisms; second, he conducts systematic and forward-looking explorations into the potential and challenges of generative AI in education. His scholarly work has been published in top-tier journals such as Nature Human Behaviour, Nature Reviews Psychology, Computers & Education and the British Journal of Educational Technology, exerting a broad and positive impact on the academic community.
Generative artificial intelligence (GenAI) now sits at the heart of the everyday rhythms of schooling and higher education, affecting how we plan lessons, communicate with learners, assess work...
Imagine a world where a machine could offer students personalised feedback, generate new content tailored to their needs, or even predict their learning outcomes. With the rapid emergence of...
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