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Titlebook: Artificial Intelligence in Education; 17th International C Cristina Conati,Neil Heffernan,M. Felisa Verdejo Conference proceedings 2015 Spr

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發(fā)表于 2025-3-25 04:43:53 | 只看該作者
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發(fā)表于 2025-3-25 18:52:01 | 只看該作者
Educational Question Answering Motivated by Question-Specific Concept Mapsed within the educational context to facilitate learning, however the majority of works have focused on text-based answering. As an alternative, this paper proposes an approach to return answers as a concept map, which further encourages meaningful learning and knowledge organisation. Additionally,
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發(fā)表于 2025-3-25 22:51:40 | 只看該作者
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發(fā)表于 2025-3-26 03:50:22 | 只看該作者
Teachable Agents with Intrinsic Motivational part throughout the teaching and learning processes. Existing TA design mainly focuses on the functions and features to ensure the TA to be taught by students rather than bi-directional interaction. However, according to reciprocity theory in social psychology, if the TA can offer friendly action
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發(fā)表于 2025-3-26 20:02:44 | 只看該作者
Comparing Representations for Learner Models in Interactive Simulationsspecially the case for complex simulations such as the DC Circuit Construction Kit used in this work. To deal with this complexity, we evaluate alternative representations that capture different levels of detail in student interactions. Our results show that these representations can be effectively
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