COMPUTER-BASED ADAPTIVE TUTOR FOR ADULT READING COMPREHENSION

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$0.00
Award Year:
2001
Program:
SBIR
Phase:
Phase I
Contract:
N00014-01-C-0432
Award Id:
55537
Agency Tracking Number:
N972-0101
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
600 W. Cummings Park, Suite 3050, Woburn, MA, 01801
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator:
GabrielSpitz
Senior Human Factors Eng
(781) 935-3966
spitz@aptima.com
Business Contact:
MargaretClancy
Chief Financial Officer
(781) 935-3966
clancy@aptima.com
Research Institute:
n/a
Abstract
The Navy is rapidly transitioning to the electronic presentation of maintenance documentation (IETMs), combined with advances in automated machine diagnostics. The overall technical objective for Phase I was to demonstrate the feasibility of using a singlesource of IETM data to effectively support maintenance aiding and maintenance training. In order to become experts, maintenance technicians need procedural knowledge (what to do) and device knowledge (why to do it). Goals form the bridge between these twotypes of knowledge. For aiding, IETM content is coupled with on-line diagnostic algorithms and monitoring systems, and maintainer interaction with technical data is guided by best-practice and pre-defined diagnostic sequences. For training, the same IETMdata is coupled with proven interactive instructional technologies. The primary bridge between on-the-job aiding and exploratory learning is the transfer of information from an aiding system (TEAMATE/ADAPTS) about the procedures followed by the technicianto the training system (DIAG) where the technician has the opportunity to explore the underlying knowledge behind the procedures just carried out. In Phase I, the team demonstrated basic interoperability capabilities required to implement this integratedIETM-based aiding/training concept. Any large military or commercial organization responsible for maintaining and servicing a variety of complex equipment is investigating ways to use electronic media, automated fault detection, and Condition BasedMaintenance to maintain performance and contain costs. An effective integrated aiding and training system for fault diagnosis will improve the timeliness and accuracy of on-the-job isolation and repair of faults as well as the maintenance technician?sunderlying knowledge of the system.

* information listed above is at the time of submission.

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