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Progression Trajectory-Based Student Modeling for Novice Block-Based Programming

, , , , , , , , , и . Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, ACM, (июня 2021)
DOI: 10.1145/3450613.3456833

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Michael James

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Neil Lester

 

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Developing and Empirically Evaluating Robust Explanation Generators: The knight Experiments, и . Computational Linguistics, 23 (2): 65-101 (1997)Predictive Student Modeling in Block-Based Programming Environments with Bayesian Hierarchical Models, , , , , , и . Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, стр. 62-70. ACM, (июля 2020)Mini-language Prime, block-based environment, about 20 problems on the Web. Could predict performance in any order..Discovering Behavior Patterns of Self-Regulated Learners in an Inquiry-Based Learning Environment, , и . Artificial Intelligence in Education, том 7926 из Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2013)Increasing believability in animated pedagogical agents, и . ACM Press, (февраля 1997)Decomposing Drama Management in Educational Interactive Narrative: A Modular Reinforcement Learning Approach., , , и . ICIDS, том 10045 из Lecture Notes in Computer Science, стр. 270-282. (2016)Intelligent Multi-Shot Visualization Interfaces for Dynamic 3D Worlds., и . IUI, стр. 119-126. ACM, (1999)Increasing Believability in Animated Pedagogical Agents., и . Agents, стр. 16-21. ACM, (1997)Assessing elementary students' science competency with text analytics., , и . LAK, стр. 143-147. ACM, (2014)Designing and Developing Interactive Narratives for Collaborative Problem-Based Learning., , , , , , , и . ICIDS, том 11869 из Lecture Notes in Computer Science, стр. 86-100. Springer, (2019)Improving Sensor-Based Affect Detection with Multimodal Data Imputation., , , и . ACII, стр. 669-675. IEEE, (2019)