🌟 Thrilled to share our latest publication in @NatureHumBehav: "Promises and challenges of generative AI for human learning" Read it here: nature.com/articles/s41562-0… Discover our vision for the #FutureOfLearning, where students can: 🔹 Engage in debates with digital twins of Socrates to delve into ancient Greek philosophy. 🔹 Learn impressionist painting techniques from a humanoid robotic mentor inspired by Claude Monet. 🔹 Visualise Einstein’s special theory of relativity in immersive virtual realities. Proud to collaborate with Samuel Greiff, Ziwen Teuber, @dgasevic Preprint version: arxiv.org/pdf/2408.12143 @CoLAM_Monash @MonashInfotech @MonashUni #AI #EdTech #AIED #GenAI #Innovation

📢 #GenAI_LAK25 Call for Workshop Papers Generative AI and Learning Analytics: Evidence of Impacts on Human Learning 📅 Join us at #LAK25 on Monday, March 3, 2025, in Dublin, Ireland. Details: shorturl.at/lgJLu Submission Deadline: 4 Dec 2024 @lakconference Organising with @dgasevic, @AndyNguyenOulu, @MutluCukurova, @BakerEDMLab, @SteveYuhengLi, Linxuan Zhao, Yueqiao Jin, and Kaixun Yang

Our work on dissecting the temporal dynamics of embodied collaborative learning using multimodal learning analytics has now been published in the Journal of Educational Psychology. psycnet.apa.org/record/2025-… Key insights: 1/ This study enhances our understanding of embodied collaborative learning in clinical simulations by integrating social constructivism, situated cognition, and embodied cognition theories. 2/ Utilizing multimodal learning analytics (MMLA), it reveals how students’ verbal, spatial, and physiological behaviors intricately interact during learning processes. 3/ The findings highlight the potential of MMLA in supporting feedback and reflection practices by identifying key behavioral differences in collaborative environments. Preprint version: shorturl.at/6iUX7 #LearningAnalytics #EdTech #AIED @CoLAM_Monash