AN AUTOMATED TRAINING SYSTEM FOR BUILDING EXPERTISE

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$59,975.00
Award Year:
1988
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
8487
Agency Tracking Number:
8487
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1895 Preston White Dr - Ste 30, Reston, VA, 22091
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
JOHN LEDDO
(703) 620-0660
Business Contact:
() -
Research Institute:
n/a
Abstract
COMPUTER-BASED TUTORIAL SYSTEMS HAVE NOW BECOME EFFECTIVE TRAINERS IN A NUMBER OF DOMAINS. MANY GOOD SYSTEMS ARE MODELED AFTER THEORIES OF HUMAN LEARNING AND KNOWLEDGE REPRESENTATION. HOWEVER, SUCH SYSTEMSTYPICALLY ASSUME A LIMITED VIEW OF HUMAN KNOWLEDGE, HENCE LIMITING THEIR APPLICABILITY TO INTRODUCTORY LEVEL MATERIAL. RESEARCH BY THE PROPOSED PROJECT TEAM HAS SHOWN THAT EXPERTS HAVE A BROAD RANGE OF KNOWLEDGE STRUCTURES. ANY TRAINING SYSTEM (COMPUTER OR OTHER) ATTEMPTING TO BUILD STUDENT'S EXPERTISE SHOULD GUIDE ITS INSTRUCTION ACCORDING TO HOW EXPERTS REPRESENT AND USE KNOWLEDGE. WE PROPOSE TO BUILD A COMPUTER-BASED TRAINING SYSTEM AND OVERALL TRAINING METHODOLOGY THAT HELPS STUDENTS INTEGRATE A WIDE RANGE OF KNOWLEDGE (E.G., PLANNING, CAUSAL REASONING, CONCEPT FAMILIARITY) AND APPLY IT TO PRACTICAL PROBLEMS. IN ADDITION, WE PROPOSE TO USE KNOWLEDGE ELICITATION TECHNIQUES DEVELOPED BY THE PROPOSED PROJECT TEAM TO EVALUATE THE EFFECTIVENESS OF TRAINING AND GUIDE CORRECTIVE INSTRUCTION.

* information listed above is at the time of submission.

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