Design Recommendations for Intelligent Tutoring Systems: Volume 1 - Learner ModelingDr. Robert A. Sottilare, US Army Research Laboratory, Dr. Arthur Graesser, University of Memphis, Dr. Xiangen Hu, University of Memphis, Dr. Heather Holden, US Army Research Laboratory Design Recommendations for Intelligent Tutoring Systems explores the impact of computer-based tutoring system design on education and training. Specifically, this volume, “Learner Modeling” examines the fundamentals of learner modeling and identifies best practices, emerging concepts and future needs to promote efficient and effective tutoring. Part of our design recommendations include current, projected, and needed capabilities within the Generalized Intelligent Framework for Tutoring (GIFT), an open source, modular, service-oriented architecture developed to promote simplified authoring, reuse, standardization, automated instruction and evaluation of tutoring technologies. |
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ACT-R actions adaptive affective Aleven analysis Anderson application approach architecture Artificial Intelligence authoring tools AutoTutor Baker behavior models capabilities CECEP chapter cognitive modeling cognitive science Cognitive Tutor complex components computer-based Conati concepts constraint-based constraints Corbett creativity D’Mello Data Mining DataShop DeepTutor domain knowledge domain model e-learning Educational Data Mining emotions evaluation example expectation eye-tracking feedback framework GIFT goals Graesser individual infer instructional agent instructional strategies Intelligence in Education Intelligent Tutoring Systems interaction interface International Conference International Journal ITSs KC model knowledge space Koedinger learner model learning environments mathematics mental models meta-cognitive Mitrovic module off-task pedagogical model performance predictions problem Psychology relevant SCORM self-regulated learning semantic sensors serious games simulation skills solution solving Sottilare specific standards stealth assessment student learning student model task team members Technology track University of Memphis User Modeling VanLehn