Model-based Optimal System for Training (MOST)

Period of Performance: 08/30/2004 - 05/30/2005

$100K

Phase 1 STTR

Recipient Firm

Aptima, Inc.
12 Gill Street Array
Woburn, MA 01801
Principal Investigator
Firm POC

Research Institution

Wright State University
134 Oelman Hall 3640 Colonel Glenn Highway
Dayton, OH 45435
Institution POC

Abstract

The objective of the proposed work is to integrate a normative engineering model into an intelligent tutoring system. This system will allow continuous performance monitoring and adaptation of training based on performance assessment. To accomplish these goals a model will be developed that will allow us to define and conceptualize how novices and experts process information. The novice/expert distinction will enable an intelligent coaching agent to assess trainees' performance needs based on skill and ability differences, and provide feedback for optimal performance. Thus, training interventions for various trainee skill levels will be evaluated and embedded in the agent to allow for adaptive training based on individual differences.