NSF and partners invest $9 million in AI-focused math education program | NSF

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The National Science Foundation Social, Behavioral, and Economic Sciences Directorate (NSF SBE) has launched the Collaborative for Advancing Mathematics Teaching and Learning (CAMEL), a new $9 million investment aimed at transforming K-12 mathematics learning and teaching. Supported through agreements with philanthropic partners including the Walton Family Foundation, CAMEL fosters interdisciplinary collaborations that integrate artificial intelligence, learning sciences, educational practices, and data science.

“CAMEL reflects NSF's commitment to advancing the nation's science and technology enterprise by strengthening mathematics education,” said Kay Husband Feeling, assistant director of NSF SBE. “The knowledge and skills supported through this program are critical to student success and building a workforce prepared to lead in the fields of artificial intelligence, biotechnology, and quantum technology.”

CAMEL uses a two-tiered approach to foster both innovation and long-term impact. Phase I will support the creation of a new interdisciplinary research network that will generate or enrich high-value AI-enabled datasets to advance the understanding of K-12 mathematics learning. These networks should include experts in the basic sciences of learning, educational practitioners, and data scientists.

Phase II of CAMEL, open exclusively to Phase I awardees, will establish a national collaborative, a socio-technical platform designed to build community, strengthen capacity, and sustain collaboration beyond individual awards and a united effort to advance K-12 mathematics learning and teaching. This unique platform synergizes research efforts and resources and stimulates collaboration between individuals and disciplines.

CAMEL advances the goals of the Administration's Executive Order on Advancing Artificial Intelligence Education for America's Youth by strengthening AI literacy, innovation, and the foundational math skills needed to use emerging technologies and creating new AI-enabled datasets. By bringing together researchers, classroom practitioners, and data scientists, CAMEL supports evidence-based approaches and insights that expand participation in science, technology, engineering, and mathematics while preparing students and educators to engage with AI-enabled tools and learning environments.

To learn more, plan to attend our webinar on Tuesday, January 6th at 4pm EST. Please pre-register for the webinar.

Click here to learn more about CAMEL.



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