A Framework for Defining and Experimenting with Adaptation in Technology-Based Training

Abstract

Training is increasingly becoming technology-based, swapping classroom time and live instructors for distance learning, serious games, and simulation exercises. This presents both challenges and opportunities for tailoring training to accommodate differences in trainees' backgrounds, prior knowledge, and abilities. Our interest is in building comprehensive technology-based instructional environments that adapt to differences and changes in cognitive factors--experience, knowledge, skills, and attitudes. We describe a space of techniques for adapting instruction in terms of (1) the aspects of a student model that inform individualized instructional decision-making, and (2) the aspects of the instructional experience that can be adapted based on those factors. Student model elements include: (1a) information on experience extracted from background questionnaires, (1b) records of student exposure to instruction and exercises, (1c) assessments of student performance during exercises, and (1d) overall student mastery estimates for system learning objectives. Instructional adaptations include: (2a) choices of didactic instruction, (2b) choices of exercise scenarios, (2c) choices affecting selection and delivery of exercise performance hints and feedback, and (2d) choices controlling pedagogically significant behaviors of simulated agents within scenarios. We give examples from a problem-based learning environment intended to train U.S. Army Battle Captains on how to supervise current operations in battalion Tactical Operations Centers (TOCs). A prototype implementation provides a unified environment combining instructional presentations, a scenario-driven TOC simulation, and machinery for controlling simulation behavior, student assessment, and instructional interventions. We describe the student modeling and instructional control components, emphasizing the breadth of instructional adaptation supported.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA532773

Entities

People

  • Elizabeth O. Bratt
  • Eric A. Domeshek
  • Paula J. Durlach

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Counter WMD
  • Human Systems

DTIC Thesaurus Topics

  • Adaptive Training
  • Artificial Intelligence
  • Computer Science
  • Computers
  • Deployment
  • Education
  • Instructions
  • Instructors
  • Language
  • Military Research
  • Natural Language Processing
  • Natural Languages
  • Psychology
  • Simulations
  • Social Sciences
  • Students
  • Training

Fields of Study

  • Education

Readers

  • Military Training and Readiness Simulation
  • STEM Education
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Space