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Publication date: 20 September 2018

Stephen B. Gilbert, Michael C. Dorneich, Jamiahus Walton and Eliot Winer

This chapter describes five disciplinary domains of research or lenses that contribute to the design of a team tutor. We focus on four significant challenges in developing…

Abstract

This chapter describes five disciplinary domains of research or lenses that contribute to the design of a team tutor. We focus on four significant challenges in developing Intelligent Team Tutoring Systems (ITTSs), and explore how the five lenses can offer guidance for these challenges. The four challenges arise in the design of team member interactions, performance metrics and skill development, feedback, and tutor authoring. The five lenses or research domains that we apply to these four challenges are Tutor Engineering, Learning Sciences, Science of Teams, Data Analyst, and Human–Computer Interaction. This matrix of applications from each perspective offers a framework to guide designers in creating ITTSs.

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Building Intelligent Tutoring Systems for Teams
Type: Book
ISBN: 978-1-78754-474-1

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Book part
Publication date: 20 September 2018

Abstract

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Building Intelligent Tutoring Systems for Teams
Type: Book
ISBN: 978-1-78754-474-1

Book part
Publication date: 20 September 2018

Jared Freeman and Wayne Zachary

Technology for training military teams has evolved through a convergence of advances in simulation technology for individual and collective training, methods for analyzing…

Abstract

Technology for training military teams has evolved through a convergence of advances in simulation technology for individual and collective training, methods for analyzing teamwork and designing training solutions, and intelligent tutoring technologies that adapt training to the student, to accelerate learning. A number of factors have slowed this evolution toward intelligent team tutoring systems (ITTS), including the challenges of processing communications data, which are the currency of teamwork, and the paucity of automated and generalizable measures of team work. Several systems fulfill a subset of the features required of an ITTS, namely the use of team training objectives, teamwork models, measures of teamwork, diagnostic capability, instructional strategies, and adaptation of training to team needs. We describe these systems: the Advanced Embedded Training System (AETS), Synthetic Cognition for Operational Team Training (SCOTT), the AWO Trainer, the Benchmarked Experiential System for Training (BEST), and the Cross-Platform Mission Visualization Tool. We close this chapter with recommendations for future research.

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Building Intelligent Tutoring Systems for Teams
Type: Book
ISBN: 978-1-78754-474-1

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Book part
Publication date: 20 March 2007

Patrick Flanagan, Patrick D. Primeaux and William L. Ferguson

The insurance industry has been marked by exponential growth over the recent decade with more and more individuals and corporations appealing to the long-term security, which this…

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The insurance industry has been marked by exponential growth over the recent decade with more and more individuals and corporations appealing to the long-term security, which this service sector provides. As facts about ethical lapses and outright fraud emerge; however, the refuge that insurance companies were entrusted to provide may not be as embracing as first appears. As insurance CEOs and management teams are paraded before cameras into courtrooms, details about payoffs and kickbacks are disseminated, and financial reporting practices are scrutinized by authorities, public trust in this industry wanes. At best, public perception is tentative in light of recent scandals.

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Insurance Ethics for a More Ethical World
Type: Book
ISBN: 978-1-84950-431-7

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