Design Recommendations for Intelligent Tutoring Systems: Authoring Tools and Expert Modeling Techniques

Front Cover
Robert Sottilare, Arthur Graesser, Xiangen Hu, Keith Brawner
Robert Sottilare, Jul 5, 2015 - Education

Design Recommendations for Intelligent Tutoring Systems (ITSs) explores the impact of intelligent tutoring system design on education and training. Specifically, this volume examines “Authoring Tools and Expert Modeling Techniques”. The “Design Recommendations book series examines tools and methods to reduce the time and skill required to develop Intelligent Tutoring Systems with the goal of improving the Generalized Intelligent Framework for Tutoring (GIFT). GIFT is a modular, service-oriented architecture developed to capture simplified authoring techniques, promote reuse and standardization of ITSs along with automated instructional techniques and effectiveness evaluation capabilities for adaptive tutoring tools and methods.

 

Selected pages

Contents

Common terms and phrases

adaptive Aleven allow approach architecture Army Research Laboratory Artificial Intelligence authoring process authoring tools authorware automated AutoTutor behavior graphs Brawner build cognitive model cognitive task analysis Cognitive Tutor collaborative complexity components concepts constraints create CTAT curriculum dialogue domain knowledge EMAP evaluation example example-tracing tutors feedback Framework for Tutoring goals Goldberg Graesser Heffernan implemented input instructional design integration Intelligence in Education Intelligent Framework Intelligent Tutoring Systems interaction International Conference International Journal ITSs Journal of Artificial Koedinger learner model learning environments Learning Sciences learning tasks machine learning McLaren McNamara Mitrovic module multiple Murray natural language natural language processing ontology pedagogical agent performance practice problem Proceedings programming PropBank representation scenario script semantic Sewall SimStudent simulation SitPed skills solution Sottilare specific Springer student model subject matter experts teachers tutor authoring types usability VanLehn xPST

About the author (2015)

Dr. Robert Sottilare leads adaptive training research at the Army Research Laboratory and is a co-creator of the Generalized Intelligent Framework for Tutoring (GIFT). His research interests include team modeling, and adaptive architectures.

Dr. Arthur Graesser is a professor in the Department of Psychology and the Institute of Intelligent Systems at the University of Memphis and is a Senior Research Fellow in the Department of Education at the University of Oxford.

Dr. Xiangen Hu is a professor in the Department of Psychology at The University of Memphis and visiting professor at Central China Normal University. Dr. Hu received his Master (applied mathematics) from Huazhong University of Science & Technology, Master (Social Sciences) and Ph.D. (Cognitive Sciences) from the University of California, Irvine

Dr. Keith Brawner is an adaptive training scientist at the U.S. Army Research Laboratory’s SFC Paul Ray Smith Simulation & Training Technology Center. The focus of his research is authoring tools, learner modeling and adaptive architectures. Dr. Brawner is a co-creator of the Generalized Intelligent Framework for Tutoring (GIFT).

Bibliographic information

TitleDesign Recommendations for Intelligent Tutoring Systems: Authoring Tools and Expert Modeling Techniques
EditorsRobert Sottilare, Arthur Graesser, Xiangen Hu, Keith Brawner
PublisherRobert Sottilare, 2015
ISBN0989392376, 9780989392372
Subjects › 

Education / General
Technology & Engineering / General
  
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