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The National Science Foundation AI Institute for Engaged Learning (ENGAGE AI Institute)
An innovative explanation-based classroom response system that provides real-time support to undergraduate STEM students and instructors
Community Models for Professional Learning for Teachers and Researchers
A collaborative initiative that brings together researchers to explore innovative approaches to teaching biology and computational thinking in elementary classrooms through embodied robotics.
Integrating Students Interests, Identities and Ways of Knowing with Network Visualization Tools to Explore Data Literacy Concepts
PRIMARYAI integrates AI learning experiences into elementary science education.
A collaborative, Level II project in the Research on STEM Learning and Learning Environments area and technology enabled learning topic cluster
This project aims to support teachers as they provide in the moment help to students who are using and interpreting representations.
Teacher Cognition and Learning about Incorporating Science Representations in Elementary Classrooms
The Scalable Asymmetric Lifecycle Engagement (SCALE) network addresses the urgent need for a rapid increase in the skilled microelectronics workforce.
A National Science Foundation-funded collaborative project designed to introduce middle school students (Grades 6–8) to semiconductor concepts through engaging, hands-on informal STEM learning experiences.
Seeks to build on and expand established theory and practice surrounding funds of identity (FOI)
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