SBIR Phase I:Learning Acceleration in Cyber Security Education and Training through Content Filtering, Intelligent Tutoring, and Scenario-based Gaming

Award Information
Agency:
National Science Foundation
Branch
n/a
Amount:
$149,853.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
1013503
Award Id:
99032
Agency Tracking Number:
1013503
Solicitation Year:
n/a
Solicitation Topic Code:
EA1
Solicitation Number:
n/a
Small Business Information
6 East 5th Street, Suite 400, Covington, KY, 41011
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
128933996
Principal Investigator:
TerenceAndre
DPhil
(719) 213-4205
t.andre@tier1performance.com
Business Contact:
TerenceAndre
DPhil
(719) 213-4205
t.andre@tier1performance.com
Research Institute:
n/a
Abstract
This Small Business Innovation Research (SBIR) Phase I project seeks to create a knowledge and training system that will reliably enable trainees and students to learn more material at a faster rate in any sector of society while, in the process: 1) advancing the scientific knowledge of the pedagogical underpinnings of learning acceleration (specifically through a better understanding of the independent and combined effects of content filtering, intelligent tutoring, and increased learner engagement), and 2) creating a cybersecurity training lesson that will have immediate applications in the military, in government and in education. The intellectual contribution of the project stems from its work in two parallel domains, the first empirical, the second technological. On the empirical front, the project would likely be the first to experimentally assess the individual and combined impacts of content filtering, intelligent tutoring and physiologically-measured, gaming-induced learner engagement on speed to mastery. Technologically, the project would enhance the functionality of a learning content authoring, delivery and management system through the development of: 1) a predictive learner modeling subsystem running on a portable, extensible tool set that supports content filtering and intelligent tutoring, and 2) configuration parameters for a scenario-based gaming engine. Learning acceleration is a fundamental and central, yet largely unattained, goal of the military, corporate and education sectors. While knowledge of the means by which learning speed can be increased is limited, there is solid agreement that major advances in learning acceleration are likely to be technology driven. The project will be conducted within the context of improving cybersecurity and cybersecurity education, thereby focusing on a threat of rapidly increasing magnitude to our national well-being and continued corporate success. Vast improvements in cybersecurity and cybersecurity training and education are widely believed to be necessary to protect the American way of life.

* information listed above is at the time of submission.

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