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Download the fantastic book titled Design Recommendations for Intelligent Tutoring Systems written by Dr. Robert A. Sottilare, US Army Research Laboratory, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Design Recommendations for Intelligent Tutoring Systems", which was released on 01 July 2014. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the genre.

Summary of Design Recommendations for Intelligent Tutoring Systems by Dr. Robert A. Sottilare, US Army Research Laboratory PDF

Design Recommendations for Intelligent Tutoring Systems explores the impact of intelligent tutoring system design on education and training. Specifically, this volume examines “Instructional Management” techniques, strategies and tactics, and identifies best practices, emerging concepts and future needs to promote efficient and effective adaptive tutoring solutions. Design recommendations include current, projected, and emerging capabilities within the Generalized Intelligent Framework for Tutoring (GIFT), an open source, modular, service-oriented architecture developed to promote simplified authoring, reuse, standardization, automated instructional management and analysis of tutoring technologies.


Detail About Design Recommendations for Intelligent Tutoring Systems PDF

  • Author : Dr. Robert A. Sottilare, US Army Research Laboratory
  • Publisher : U.S. Army Research Laboratory
  • Genre :
  • Total Pages : 426 pages
  • ISBN : 0989392325
  • PDF File Size : 27,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Design Recommendations for Intelligent Tutoring Systems

Design Recommendations for Intelligent Tutoring Systems
  • Publisher : U.S. Army Research Laboratory
  • File Size : 51,5 Mb
  • Release Date : 01 July 2014
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Design Recommendations for Intelligent Tutoring Systems explores the impact of intelligent tutoring system design on education and training. Specifically, this volume examines “Instructional Management” techniques, strategies and tactics, and identifies

Design Recommendations for Intelligent Tutoring Systems

Design Recommendations for Intelligent Tutoring Systems
  • Publisher : Robert Sottilare
  • File Size : 24,8 Mb
  • Release Date : 05 July 2015
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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 for Intelligent Tutoring Systems

Design Recommendations for Intelligent Tutoring Systems
  • Publisher : U.S. Army Research Laboratory
  • File Size : 52,8 Mb
  • Release Date : 01 August 2013
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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

Intelligent Tutoring Systems

Intelligent Tutoring Systems
  • Publisher : Psychology Press
  • File Size : 23,7 Mb
  • Release Date : 14 January 2014
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This is a collection of essays on issues related to the evolutionary design and the practical future of intelligent tutoring systems. Following in the tradition of Foundations of Intelligent Tutoring

Advances in Intelligent Tutoring Systems

Advances in Intelligent Tutoring Systems
  • Publisher : Springer Science & Business Media
  • File Size : 46,5 Mb
  • Release Date : 27 August 2010
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May the Forcing Functions be with You: The Stimulating World of AIED and ITS Research It is my pleasure to write the foreword for Advances in Intelligent Tutoring S- tems.

Learning Issues for Intelligent Tutoring Systems

Learning Issues for Intelligent Tutoring Systems
  • Publisher : Springer Science & Business Media
  • File Size : 25,8 Mb
  • Release Date : 06 December 2012
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Learning Issues for Intelligent Tutoring Systems arrays the most current and exciting research in this dynamic and growing area of cognitive science. The various contributions address the design and use