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AI empowered tools to help teachers in STEM classrooms

Cultivating Scientific Mindsets in the Machine Learning Era

Research project

Researchers bring artificial intelligence (AI) into high school STEM classrooms.

Quick facts

Director/PI: Principal Investigator Zhen Bai (Computer Science faculty), and Co-Principal Investigators Michael Daley and Raffaella Borasi (Warner School faculty), and Jiebo Luo (Computer Science faculty)

Collaborators: Hajim School of Engineering & Applied Sciences

Funding: $295,563 from the Division of Information & Intelligent Systems Program

Related projects: Project SyncOn

Overview

Rochester researchers including Zhen Bai, an assistant professor of computer science; Michael Daley, an associate professor at the Center for Professional Development and Education Reform; Raffaella Borasi, the Frederica Warner Professor and director of the Center for Learning in the Digital Age; and Jiebo Luo, a professor of computer science and of electrical and computer engineering, explore the learning opportunities of machine learning—a subfield of artificial intelligence that gives computers the ability to learn without being explicitly programmed—in promoting scientific literacy in K–12 STEM high school classrooms. 

The project, , is funded by a two-year grant awarded in 2022 from the National Science Foundation’s Division of Information and Intelligent Systems.

Read the press release on EAGER.