SBIR/STTR Research Award

SBIR Phase I: Developing a Cost-Effective Method for Creating Cognitive Models for Cognitive Tutors

Award identifier 8029b5b092781a1af536910a7765b7cbbc1bab69744e04e7ca782440464d1e37Awarding agency National Science Foundation

Award amount

$99,638

Program and phase

SBIR · Phase I

Award year

2005

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Clearsighted
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
NSF 04-551
Topic code
IT

Research abstract

This Small Business Innovation Research (SBIR) Phase I project addresses the difficulties of authoring intelligent tutoring systems. Intelligent Tutoring Systems have proven to be highly effective in delivering computer-based instruction, but have historically been expensive and difficult to build, requiring specialized skill in Artificial Intelligence and production systems programming. This proposal describes a Software Development Kit (SDK) composed of four components: Cognitive Model Authoring, Problem Authoring, Tool Authoring, and Curriculum Authoring. The proposed research activity centers on the first of these components: Cognitive Model Authoring. Cognitive Model Authoring is comprised of three separate steps: defining an object hierarchy, defining the goal structure of the problem task, and representing the behavior of the instructional system. The proposal is to define an object-oriented visualization of these steps, so that non-cognitive scientists can create cognitive tutors. This tool will decrease the amount of time it takes to author the cognitive model portion of a tutor for an experienced cognitive modeler, and it also will decrease the amount of time it takes for a new person with no cognitive modeling experience to come up to speed with creating cognitive models. The Cognitive Tutor SDK will have two impacts: 1) easier production of new Cognitive Tutors, and hence the ability to bring them to market more quickly and 2) development of a Software Development Kit that could be independently marketed, enabling other companies to produce intelligent tutors in other domains, languages, countries and markets. There are four markets for the Cognitive Tutor SDK: internal developers, external users interested in adapting existing tutor materials for related markets (prisons, welfare-to-work programs), internal and external developers of tutors in related mathematical disciplines, and external developers of tutors in other domains. The emphasis on accountability in education provides a strong market need for effective instruction, which should help drive the desire for proven technology like Intelligent Tutoring Systems.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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