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Story-Based Learning: The Impact of Narrative on Learning Experiences and Outcomes.

, , , и . Intelligent Tutoring Systems, том 5091 из Lecture Notes in Computer Science, стр. 530-539. Springer, (2008)

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Pierre-François Scotto

Martina Christine Scotti

Peter Scott

Felix Markus Hubertus Scotti

James Wesley Scott

 

Другие публикации лиц с тем же именем

Modeling parallel and reactive empathy in virtual agents: an inductive approach., , , и . AAMAS (1), стр. 167-174. IFAAMAS, (2008)Student Note-Taking in Narrative-Centered Learning Environments: Individual Differences and Learning Effects., , , , и . Intelligent Tutoring Systems, том 5091 из Lecture Notes in Computer Science, стр. 510-519. Springer, (2008)Story-Based Learning: The Impact of Narrative on Learning Experiences and Outcomes., , , и . Intelligent Tutoring Systems, том 5091 из Lecture Notes in Computer Science, стр. 530-539. Springer, (2008)Diagnosing Self-efficacy in Intelligent Tutoring Systems: An Empirical Study., и . Intelligent Tutoring Systems, том 4053 из Lecture Notes in Computer Science, стр. 565-574. Springer, (2006)Learning empathy: a data-driven framework for modeling empathetic companion agents., и . AAMAS, стр. 961-968. ACM, (2006)Inducing User Affect Recognition Models for Task-Oriented Environments., , и . User Modeling, том 4511 из Lecture Notes in Computer Science, стр. 380-384. Springer, (2007)Coping with Frustration: Self-efficacy Modelling and Empathetic Companion Agents.. AIED, том 158 из Frontiers in Artificial Intelligence and Applications, стр. 693-694. IOS Press, (2007)STORYEVAL: An Empirical Evaluation Framework for Narrative Generation., , , , и . AAAI Spring Symposium: Intelligent Narrative Technologies II, стр. 103-110. AAAI, (2009)Modeling Task-Based vs. Affect-based Feedback Behavior in Pedagogical Agents: An Inductive Approach., , и . AIED, том 200 из Frontiers in Artificial Intelligence and Applications, стр. 25-32. IOS Press, (2009)SAS Tools for Educational Data Mining., , и . EDM, стр. 632-633. International Educational Data Mining Society (IEDMS), (2016)