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Developing and Empirically Evaluating Robust Explanation Generators: The knight Experiments, and . Computational Linguistics, 23 (2): 65-101 (1997)Predictive Student Modeling in Block-Based Programming Environments with Bayesian Hierarchical Models, , , , , , and . Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, page 62-70. ACM, (July 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, , and . Artificial Intelligence in Education, volume 7926 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2013)Increasing believability in animated pedagogical agents, and . ACM Press, (February 1997)Increasing Believability in Animated Pedagogical Agents., and . Agents, page 16-21. ACM, (1997)User Affect and No-Match Dialogue Scenarios: An Analysis of Facial Expression., , , , , , and . MA3HMI@ICMI, page 6-14. ACM, (2018)Leveraging Semi-Supervised Learning to Predict Student Problem-Solving Performance in Narrative-Centered Learning Environments., , , and . Intelligent Tutoring Systems, volume 8474 of Lecture Notes in Computer Science, page 664-665. Springer, (2014)Promoting Computer Science Learning with Block-Based Programming and Narrative-Centered Gameplay., , , , , , , and . CoG, page 654-657. IEEE, (2020)Detecting and Addressing Frustration in a Serious Game for Military Training., , , , , , , and . Int. J. Artif. Intell. Educ., 28 (2): 152-193 (2018)STORYEVAL: An Empirical Evaluation Framework for Narrative Generation., , , , and . AAAI Spring Symposium: Intelligent Narrative Technologies II, page 103-110. AAAI, (2009)