An adaptive instructional architecture for training and education

  • Authors:

  • Denise M. Nicholson;Cali M. Fidopiastis;Larry D. Davis;Dylan D. Schmorrow;Kay M. Stanney

  • Affiliations:

  • Institute for Simulation and Training, University of Central Florida;Institute for Simulation and Training, University of Central Florida;Institute for Simulation and Training, University of Central Florida;Office of Naval Research;College of Engineering and Computer Science, University of Central Florida

  • Venue:
  • FAC'07 Proceedings of the 3rd international conference on Foundations of augmented cognition
  • Year:
  • 2007

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Abstract

Office of Naval Research (ONR) initiatives such as Human Performance Training and Education (HPT&E) as well as Virtual Technologies and Environments (VIRTE) have primarily focused on developing the strategies and technologies for creating multimodal reality or simulation based content. Resulting state-of-the-art training and education prototype simulators still rely heavily on instructors to interpret performance data, and adapt instruction via scenario generation, mitigations, feedback and after action review tools. Further research is required to fully close the loop and provide automated, adaptive instruction in these learning environments. To meet this goal, an ONR funded initiative focusing on the Training and Education arm of the HPT&E program will address the processes and components required to deliver these capabilities in the form of an Adaptive Instructional Architecture (AIA). An overview of the AIA as it applies to Marine Corps Warfighter training protocols is given as well as the theoretical foundations supporting it.