Perceptual and Adaptive Learning Technologies: Developing Products to Improve Algebra Learning
Two problems limit student learning in Algebra in most instructional settings. The first problem involves a lack of methods to advance students’ ability to grasp patterns, process them fluently, and detect them in variable contexts and the second involves a lack of instructional formats that adapt to the individual learner. Recently developed perceptual learning and adaptive learning technology hold great promise for addressing these problems. This project team will develop perceptual and adaptive learning technologies to enhance middle school student learning pattern recognition and fluency in Algebra. The final product will be an integrated series of five web-based learning modules to accelerate, enhance, and consolidate the learning of algebra, as well as to provide rich, continuous and convenient monitoring and assessment information for teachers. The modules will focus on middle school topics such as fluency in manipulating algebraic expressions and equations, pattern recognition, mapping across multiple representations of function, and linear forms and relations.
Small Business Information at Submission:
Principal Investigator:Phil Kellman
Insight Learning Technology, Inc.
922 Las Lomas Avenue Pacific Palisades, CA 90272
Number of Employees: