SCORM-Conformant artificial intelligence tutoring software for science education

Award Information
Agency:
Department of Education
Branch
n/a
Amount:
$100,000.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
R305S04014
Award Id:
67218
Agency Tracking Number:
R305S04014
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
5275 Sardis Road, Murrysville, PA, 15668
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Johnson
Dr
(724) 733-8603
johnson@quantumsimulations.com
Business Contact:
Benny Johnson
Dr
(724) 733-8603
johnson@quantumsimulations.com
Research Institution:
n/a
Abstract
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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