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IES Contract

Title: Math Education for Adult Learners and College Remediation Using Artificial Intelligence
Center: NCER Year: 2011
Principal Investigator: Johnson, Benny Awardee: Quantum Simulations, Inc.
Program: Small Business Innovation Research      [Program Details]
Award Period: 2 years Award Amount: $850,000
Type: Phase II Development Award Number: EDIES11C0041
Description:

Product Video Demonstration: http://www.youtube.com/watch?v=dLsFa-8ifNQ

Purpose: In the early 2000s, international comparative studies reported declining levels of numeracy skills among adults (16- to 65-year-olds) in the United States. In this project, the researchers aimed to further develop  an on-demand automated tutor that focused on developmental mathematics for adult learners and underprepared college students requiring remediation.

Project Activities: In the Phase I project, the team developed a prototype of the automated tutor, which focused on the math content area of probability. The prototype demonstrated feasibility with the target audience (adult learners and underprepared college students who required remediation) being able to use it. In this Phase II project, the team fully developed the automated math tutor. The students were to use the tool to practice mathematics problems, to ask questions when support was needed, and receive formative feedback after completing problems. The tool also included a dashboard that provided educators assessment reports on student progress. After development was completed, a pilot study included 20 adult learners enrolled in developmental mathematics courses at 2-year and 4-year institutions and from adult learning centers nationwide. Results demonstrated that on average students increased in pre-to post-scores in measuring for learning fractions, probability, and percentages.

Product: The web-based artificial intelligence tutor focused on a range of math content areas, including probability, data interpretation, estimation, exponents, basic geometry, fractions, multiplication, division, and addition. To use the product, students would enter their own problems. An automated assessment feature checked responses and offered immediate tutoring to support the student working through a solution.

Related Projects:  Artificial Intelligence Software for Individualized Math Tutoring for Students Who are Blind and Visually Impaired (ED06PO0919), College Remediation Using Artificial Intelligence (EDIES10P0108)


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