A Cogntive Learning Architecture for Shipboard Systems (CLASS)

Period of Performance: 01/28/1999 - 07/28/1999

$70K

Phase 1 SBIR

Recipient Firm

CHI Systems, Inc.
2250 Hickory Road Suite 150
Plymouth Meeting, PA 19462
Principal Investigator

Research Topics

Abstract

The Navy has embarked on an ambitious program to bring training "inside the lifelines", moving formerly land-based training to the operator's console on the ship. Embedded simulation-based training is the major technology being developed to achieve this goal, but simulation-based practice without adaptive and active instruction may be insufficient to meet the Navy's training needs in an increasingly complex tactical and geo-political environment. Advances in cognitive science have enabled the development of intelligent tutoring technology, in which trainees are given context-sensitive coaching and instruction in conjunction with simulated problem solving offers a potential solution to this problem. Technology develoments to make embedded simulation widely available (specifically the Battle Force Tactical Training or BFTT system) provide the means to leverage intelligent embedded utoring methods in a generalized way. CHI Systems proposes to develop a Cognitive Learning Architecture for Shipboard Systems (CLASS), using technology for tactically-oriented knowledge representation, cognitive diagnosis and student modeling that it has recently developed for a tactical embedded tutoring system. Phase I combines the technology and lessons learned from applying this new technology BFTT technology standards to develop a general CLASS architecture and software design, as well as a proof-concept demonstration.