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SBIR Phase I: AuthorIT: Authoring Adaptive and Configurable Tutoring Systems…

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
88371
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
0806858
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Intelligent Micro Systems, Ltd.
1249 Greentree, Suite 100 Narberth, PA 19072 1219
View profile »
Woman-Owned: Yes
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2008
Title: SBIR Phase I: AuthorIT: Authoring Adaptive and Configurable Tutoring Systems (A-ACTS)
Agency: NSF
Contract: 0806858
Award Amount: $100,000.00
 

Abstract:

This Small Business Innovation Research (SBIR) Phase I research project proposes a fundamentally new approach to knowledge representation and building highly Adaptive and Configurable Tutoring Systems (ACTS) based thereon. This authoring system, automates steps in knowledge representation, and eliminates the need to program pedagogical strategies and otherwise simplifies the process of building ACTS. An companion application automatically delivers learning as prescribed. This Phase I research aims to demonstrate the feasibility of: 1) using the technique to develop commercially-viable ACTS for well-defined STEM content; and 2) to extend the technique to support ACTS that will enable learners to solve novel problems that they have not been taught how to solve; and 3) to deliver such content over the web. Full realization of this innovation will increase the impact of ACTS in STEM education by increasing learning efficiency, reducing development costs, improving quality control and yielding systems that can easily be configured to meet specific educational needs. If successful, this project will result in ACTS having direct application in schools as well as open new opportunities in the commercial world. The application will cut development cost in half, making it commercially feasible to develop even specialized and highly efficient ACTS, while maintaining quality control, and has the potential of radically improving the way adaptive tutorial systems are built as well as the effectiveness of those systems.

Principal Investigator:

Joseph M. Scandura
PhD
6106641207
scandura@scandura.com

Business Contact:

Joseph M. Scandura
PhD
6106641207
scandura@scandura.com
Small Business Information at Submission:

Intelligent Micro Systems, Ltd.
1249 Greentree, Suite 100 Narberth, PA 19072

EIN/Tax ID: 232263858
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No