SBIR/STTR Research Award

SBIR Phase I: A Cognitive Assessment Engine for App Based Learning

Award identifier 5b3b6f14b1e4c6bd6c857f5e2cf238d1e6ac2fab518e716a4b272c1d1da06a89Awarding agency National Science Foundation

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2016

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Zapptitude, Inc
Proposal award date
2016-01-01
Contract end date
2016-06-30
UEI
Not reported
Solicitation number
Not reported
Topic code
EA

Research abstract

This Small Business Innovation Research Phase I project aims to develop a new technology solution to provide accessible, affordable and accurate assessment system for app based learning. Advancement in the U.S. economy has been consistently driven by technological progress and innovation. Yet, K-12 education sees little technological change, even as U.S. students increasingly lag behind other nations. The advent of mobile devices and digital learning tools/apps create promising opportunities for developing new learning technologies to deliver academic content that is more engaging, adaptive, relevant and rigorous. However, the effectiveness of digital learning technologies such as game/app based learning is rarely known. Coupling real-time evaluation and assessment systems with trusted reporting, the proposed innovation will help schools make informed learning technology decisions, provide actionable insight to help teachers monitor students' progress over time, thereby improving teachers' instruction and student learning. This will also drive the development of quality STEM apps that leverage the best of today?s technology and reduce entry barriers for innovators. This project aims to spearhead an innovation that can unleash the potential of game/app based learning, creating a marketplace where the best learning apps/technologies are recognized and continuously improved. This project aims to provide new insights and contribute to scientific knowledge about the developmental impact that the interaction with multiple educational apps has on students? learning. The originality of the solution lies in cross-app data mining and reporting. It provides (i) a one-stop dashboard to parents, teachers and students with a unified assessment, (ii) the opportunity for timely intervention and personalized recommendation to each student, and (iii) a cross-examination of a child?s gameplay through multiple apps which has the potential for more accurate assessment. The goals of the proposed R&D are: 1) to build an assessment engine that any STEM based educational app developer can use to provide game/app based assessment at the point of learning and 2) test this assessment engine in a real life setting using 3rd party educational app(s). To reach these goals - (i) a couple of 3rd party apps will be instrumented with our SDK for data collection, (ii) a pilot study will be conducted with 3rd & 4th Graders playing these educational apps on tablets in a classroom setting and (iii) the data will be analyzed with our assessment engine to test the feasibility of this new technology.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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