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A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning., , , , , , , и . Intelligent Tutoring Systems (1), том 6094 из Lecture Notes in Computer Science, стр. 245-254. Springer, (2010)Typed versus Spoken Conversations in a Multi-party Epistemic Game., , , и . AIED, том 6738 из Lecture Notes in Computer Science, стр. 513-515. Springer, (2011)Question Asking During Collaborative Problem Solving in an Online Game Environment., , , , , , и . Intelligent Tutoring Systems, том 8474 из Lecture Notes in Computer Science, стр. 617-618. Springer, (2014)The Impact of Why/AutoTutor on Learning and Retention of Conceptual Physics., , , и . Intelligent Tutoring Systems, том 3220 из Lecture Notes in Computer Science, стр. 501-510. Springer, (2004)Emotions and Learning with AutoTutor., , , , и . AIED, том 158 из Frontiers in Artificial Intelligence and Applications, стр. 569-571. IOS Press, (2007)Higher Contributions Correlate with Higher Learning Gains., , , и . EDM, стр. 287-288. www.educationaldatamining.org, (2010)The Right Threshold Value: What Is the Right Threshold of Cosine Measure When Using Latent Semantic Analysis for Evaluating Student Answers?, , , , , , и . Int. J. Artif. Intell. Tools, 15 (5): 767-778 (2006)Exploring development of social capital in a CMOOC through language and discourse., , , , , , и . Internet High. Educ., (2018)The Learner Data Institute - Conceptualization: A Progress Report., , , , , , , и . EDM (Workshops), том 3051 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Discovering Theoretically Grounded Predictors of Shallow vs. Deep- level Learning., , , , и . EDM, стр. 229-232. International Educational Data Mining Society (IEDMS), (2014)