|Title:||AI-Driven Formative Assessments for Hands-On Science|
|Principal Investigator:||Roozeboom, Clifton||Awardee:||Myriad Sensors, Inc.|
|Program:||Small Business Innovation Research [Program Details]|
|Award Period:||8 months (06/15/2020 – 02/15/2021)||Award Amount:||$200,000|
|Goal:||Phase I Development||Award Number:||91990020C0073|
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 to middle school students during hands-on labs, as well as scaffolded hints to students while they analyze experimental data. The prototype will include the AI algorithm for analyzing real-world experimental data, an assessment feedback dashboard, and the student feedback user interface. At the end of Phase I, in a pilot study with 200 middle schools students, the researchers will examine the feasibility of students using the formative assessment feedback during hands-on experiments, the ease of integrating the real-time feedback into classroom practice, and students' engagement when using the interface.
Related IES Projects: CloudLab: Software Development for Hands-On Science Learning (EDIES17C0042); CloudLab Software for Hands-On Science Learning (99190018C0016)