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Titlebook: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, In; 24th International C Ning Wang,Genaro

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Computational Models of Learning: Deepening Care and Carefulness in AI in Education, interactive task learning capabilities that can be leveraged in tools that interactively learn from natural tutoring interactions. These efforts present a dramatically different perspective on machine-learning in AIED than the current trends of data-driven prediction.
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Towards the Future of AI-Augmented Human Tutoring in Math Learning,entations of accepted papers, small or whole group discussion, and a panel discussion focusing on common themes related to research and application, key takeaways, and findings imperative to increasing middle school math learning.
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Empowering Education with LLMs - The Next-Gen Interface and Content Generation,nts in shaping the landscape of challenges and opportunities in this space. We wish to attract attendees interested in scaling the generation of instructional and assessment content and those interested in the use of online learning platforms.
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,AI Education for K-12: A Survey,ibutions. The workshop brought together researchers in K-12 AI education to discuss the state-of-the-art and identify research gaps and future directions to bring evidence-based AI education in and out of the classrooms.
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Tutorial: Educational Recommender Systems,esting and promising topics, such as multi-task learning, multi-objective optimization, multi-stakeholder considerations, concerns of fairness, accountability, and transparency, etc. However, this progress made in the field of recommender systems was not adequately disseminated to the education comm
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