Design Recommendations for Intelligent Tutoring System - Volume 5: Assessment Methods

Dr. Robert Sottilare · Dr. Arthur Graesser · Dr. Xiangen Hu · Dr. Gregory Goodwin

Aug. 2017 · Design Recommendations for Intelligent Tutoring Systems Buch 5 · US Army Research Laboratory

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This book is the fifth in a planned series of books that examine key topics (e.g., learner modeling, instructional strategies, authoring, domain modeling, assessment, impact on learning, team tutoring, machine learning, and potential standards) in intelligent tutoring system (ITS) design through the lens of the Generalized Intelligent Framework for Tutoring (GIFT) (Sottilare, Brawner, Goldberg & Holden, 2012; Sottilare, Brawner, Sinatra, & Johnston, 2017). GIFT is a modular, service-oriented architecture created to reduce the cost and skill required to author ITSs, manage instruction within ITSs, and evaluate the effect of ITS technologies on learning, performance, retention, transfer of skills, and other instructional outcomes.

Along with this volume, the first four books in this series, Learner Modeling (ISBN 978-0-9893923-0-3), Instructional Management (ISBN 978-0-9893923-2-7), Authoring Tools (ISBN 978-0-9893923-6-5) and Domain Modeling (978-0-9893923-9-6) are freely available at www.GIFTtutoring.org and on Google Play.

Autoren-Profil

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).

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. Gregory Goodwin is a senior adaptive training scientist at the U.S. Army Research Laboratory.