Building intelligent tutoring systems for teams : what matters

This volume presents multidisciplinary perspectives from leading scholars in the science of teams and intelligent tutoring systems (ITSs) on research needed to advance the state of the art of team ITSs. Our esteemed authors provide lessons learned to guide future research that will produce the techn...

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Bibliographic Details
Other Authors Johnston, Joan (Editor), Sottilare, Robert (Editor), Sinatra, Anne M. (Editor), Burke, C. Shawn (Editor)
Format Electronic eBook
LanguageEnglish
Published Bingley, U.K. : Emerald Publishing Limited, 2018.
SeriesResearch on managing groups and teams ; v. 19
Subjects
Intelligent tutoring systems.
Computer-assisted instruction.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781787544734
9781787544758
ISSN1534-0856 ;
DOI10.1108/S1534-0856201819
Physical Description1 online resource (xi, 325 pages) ; cm.

Cover

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490 1 |a Research on managing groups and teams,  |x 1534-0856 ;  |v volume 19 
500 |a Includes index. 
505 0 |a Prelims -- Introduction -- Concepts for understanding team training -- Team assessment and feedback -- Team tutoring applications -- Summary -- Index. 
520 |a This volume presents multidisciplinary perspectives from leading scholars in the science of teams and intelligent tutoring systems (ITSs) on research needed to advance the state of the art of team ITSs. Our esteemed authors provide lessons learned to guide future research that will produce the technical capabilities needed to support team skills development. The introduction by Drs. Robert Sottilare and Eduardo Salas, who are leaders in the field of ITSs and team science, discusses the challenges and approaches to building ITSs for teams. The volumes first section introduces concepts for understanding team training such as team task analysis, team macrocognition, measurement strategies for dynamic processes, and effective team training methods to provide insights into ITS design. Section two presents recent advances in team assessment and feedback through unobtrusive assessments, modeling dynamic team interactions, neurodynamic scaffolding, and collaborative tutoring strategies. In the Volumes third section authors discuss lessons learned from past research, provide a discourse on the five disciplinary perspectives of engineering, learning sciences, team research, data analysis, and human computer interaction to create a framework for guiding team ITS developers, and examine the team ITS requirements for long term space travel. The final chapter summarizes and integrates lessons learned and provides recommendations for future research and development. 
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700 1 |a Burke, C. Shawn,  |e editor. 
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