Award Data

Check-in Check-out (CICO) is a widely used behavioral intervention for elementary and middle schools centered on goals, feedback, and communication with parents about daily behavioral performance. This project will develop a prototype platform to streamline and automate the delivery of CICO. The prototype will include an app, a user-friendly interface, and a dashboard to track progress and capture ...

In a previous National Science Foundation SBIR project, the developer created an online platform that uses songs to support mathematical learning. In the current project, the team will develop a prototype of a component of a platform to guide students in creating and producing their own music videos about algebra. The prototype will include a video production application, features to enhance learn ...

The team will develop a prototype of an immersive virtual reality experience for high school students to learn about the scientific processes and the biology of plants. The prototype will be designed to be multi-player where groups of students collaboratively conduct open-ended cross-breeding experiments, record images to export to reports, track and analyze data, and draw conclusions. At the end ...

Through a series of IES-funded projects, the researchers developed the Assessment-to-Instruction (A2i) tool, including a Phase 1 SBIR project in 2014. A2i is an online platform to provide students with individualized literacy instruction and assessments. This project will develop a digital library for teachers that generates personalized resources for each student. The prototype will include migra ...

With Phase I and Phase II funding from prior IES-funded SBIR project, the developer created a wireless device that transmits scientific data from hands-on experiments carried out by middle school students to a dashboard that presents results from student work in real-time. This project will develop an artificial intelligence (AI) assessment system that will provide immediate personalized feedback ...

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The team will develop a new component of the AR app, a prototype with computer vision and recognition software to present real-world phenomena that are ordinarily not observable in nature. In Phase I, the research team will create a magnetism module would show students the invisible magnetic field all around them and how it interacts with magnetic objects. At the end of Phase I, in a pilot study w ...