Challenges and Emerging Concepts in the Development of Adaptive, Computer-based Tutoring Systems for Team Training

Abstract

A renaissance in the research and development of computer-based, tutoring systems over the last ten years is motivating scientists to ponder the application of intelligent tutors and coaches in more challenging team training problem spaces where human tutors are either unavailable or impractical. This paper reviews some of the challenges and emerging technologies (tools and methods) that might influence the development of adaptive, intelligent tutors for geographically-distributed team training. Team tutoring presents many challenges. Even human tutors struggle to develop team cohesion, coordinate roles and responsibilities of team members and assess their contributions. Computer-based tutors face additional challenges: sensing and assessing the cognitive state (including affect) of each team member in near real-time to understand each team member's readiness to learn (e.g., their engagement and motivation); measuring team performance; perceiving and weighing team member contributions to team performance; and selecting instructional strategies that will optimize team performance. Emerging sensing technologies are showing promise as enablers of computer-based perception of each team member's behavior and physiology with the goal of predicting unobserved variables (e.g., cognitive state). Along with performance measures, historical and self-reported data, behavioral and physiological measures can provide the tutor with the information needed to model the trainee's state and their relationship with other team members and the tutor. Accurate (and timely) trainee and team state information (e.g., performance, competency, trust) are considered to be determining factors for the team tutor to select appropriate instructional strategies (e.g., support, direction) for optimal team performance.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2011
Accession Number
ADA558641

Entities

People

  • Benjamin S. Goldberg
  • Heather K. Holden
  • Keith W. Brawner
  • Robert A. Sottilare

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Adaptive Training
  • Artificial Intelligence
  • Cognitive Systems Engineering
  • Computer Science
  • Computers
  • Computing Devices
  • Education
  • Educational Technology
  • Engineering
  • Human-Computer Interaction
  • Machine Learning
  • Military Research
  • Psychology
  • Simulations
  • Trainees
  • Training
  • United States

Readers

  • Instructional Design and Training Evaluation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Space