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Design Recommendations for Intelligent Tutoring Systems: Volume 6 - Team Tutoring

User documentation
08/15/2018

This book on team tutoring is the sixth 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 for self-improving systems, potential standards, and learning effect evaluation methods) in intelligent tutoring system (ITS) design. This book focuses on team tutoring. The discussion chapters in this book examine topics through the lens of the Generalized Intelligent Framework for Tu-toring (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, distribute ITSs, manage instruction within ITSs, and evaluate the effect of ITS technologies on learning, performance, retention, transfer of skills, and other instructional outcomes.

Citation: R. Sottilare, A. Graesser, X. Hu, and A.M. Sinatra (Eds.). (2018). Design Recommendations for Intelligent Tutoring Systems: Volume 6 - Team Tutoring. Orlando, FL: U.S. Army Research Laboratory. ISBN 978-0-9977257-4-2. Available at: https://gifttutoring.org/documents/ and on Google Play.

GIFT References:

Sottilare, R.A., Brawner, K.W., Goldberg, B.S. & Holden, H.K. (2012). The Generalized Intelligent Framework for Tutoring (GIFT). Concept paper released as part of GIFT software documentation. Orlando, FL: U.S. Army Research Laboratory – Human Research & Engineering Directorate (ARL-HRED). Retrieved from: https://gifttutoring.org/attachments/152/GIFTDescription_0.pdf

Sottilare, R., Brawner, K., Sinatra, A. & Johnston, J. (2017). An Updated Concept for a Generalized Intelligent Framework for Tutoring (GIFT). Orlando, FL: US Army Research Laboratory. May 2017. DOI: 10.13140/RG.2.2.12941.54244.

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Design Recommendations for ITS_Volume 6 - Team Tutoring_final.pdf (5.46 MB) Sottilare, Robert, 08/20/2018 12:49 PM [D/L : 713]