SCORM-Conformant artificial intelligence tutoring software for science education

Award Information
Agency: Department of Education
Branch: N/A
Contract: R305S04014
Agency Tracking Number: R305S04014
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2004
Solicitation Topic Code: N/A
Solicitation Number: 84.305S04
Small Business Information
5275 Sardis Road, Murrysville, PA, 15668
HUBZone Owned: Y
Woman Owned: Y
Socially and Economically Disadvantaged: Y
Principal Investigator
 Johnson Benny
 (724) 733-8603
Business Contact
 Benny Johnson
Title: Dr
Phone: (724) 733-8603
Research Institution
This Small Business Innovation Research Phase I project focuses on the extension of Quantum’s successful technology for interactive intelligent tutoring to develop powerful new artificial intelligence-based tools for computerized assessment of student work in mathematics. This addresses an important area where there has been clearly articulated teacher demand for advancement. Quantum proposes a new and different approach to assessment, adapting and incorporating new concepts from artificial intelligence. More than just assigning a grade, meaningful opportunities will be created for students to learn directly from the assessment itself. The proposed technology will benefit all students; however, it is specifically targeted to help those who have the greatest need, such as lower-performing students and students from historically underrepresented groups, by lowering barriers to accessing high-quality mathematics instruction. The proposed technology will be particularly relevant in helping teachers and administrators meet the goals of NCLB by facilitating construction of classroom profiles of student performance and providing recommendations for enhancing student achievement. In Phase I, feasibility will be established by developing an automated grading program within an existing intelligent tutoring system, that can grade homework and tests in which teachers assign their own problems and students show their own work in detail.

* Information listed above is at the time of submission. *

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