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Titlebook: Intelligent Tutoring Systems; 11th International C Stefano A. Cerri,William J. Clancey,Kitty Panourgi Conference proceedings 2012 Springer-

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楼主: dejected
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Categorical vs. Dimensional Representations in Multimodal Affect Detection during Learning that are aware of these experiences, generally represented as a category or as a point in a low-dimensional space. State-of-the-art systems detect these affective states from multimodal data, in naturalistic scenarios. This paper provides evidence of how the choice of representation affects the qua
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Math Learning Environment with Game-Like Elements: An Incremental Approach for Enhancing Student Engal time and student cognitive resources. Therefore, instead of creating an educational game, we create a learning environment with ., the aspects of games that are engaging, but that hopefully do not negatively impact the learning effectiveness of the system. We present an approach of incrementally
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An Analysis of Attention to Student – Adaptive Hints in an Educational Gameame. The game is Prime Climb, an educational game designed to provide individualized support for learning number factorization skills in the form of hints based on a model of student learning. We use eye-tracking data to capture user attention patterns on the game adaptive-hints, and present results
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Exploring the Effects of Prior Video-Game Experience on Learner’s Motivation during Interactions witplay our serious game, called HeapMotiv, intended to educate players about the heap data structure. HeapMotiv is comprised of three missions (., . and .). We used Keller’s ARCS theoretical model of motivation and physiological sensors (heart rate, skin conductance and electroencephalogram) to record
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A Design Pattern Library for Mutual Understanding and Cooperation in Serious Game Designinvolved. To produce an effective combination of fun and learning, we present our Design Pattern Library to address this issue. This library is aimed to help teachers fully take part in serious game design and to encourage mutual understanding between the different stakeholders enhancing cooperation
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Predicting Student Self-regulation Strategies in Game-Based Learning Environmentsng environments. Consequently, understanding students’ self-regulated learning behavior has been the subject of increasing interest in the intelligent tutoring systems community. Unfortunately, monitoring these behaviors in real-time has proven challenging. This paper presents an initial investigati
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