The U.S. National Science Foundation Directorate for Social, Behavioral, and Economic Sciences (NSF SBE) has launched the Collaboratory to Advance Mathematics Education and Learning (CAMEL), a brand new $9 million funding geared toward remodeling Okay-12 arithmetic studying and education. Supported by means of an settlement with philanthropic partners, together with the Walton Family Foundation, CAMEL advances interdisciplinary collaboration that brings collectively synthetic intelligence, the science of studying, education observe and knowledge science.
“CAMEL reflects NSF’s commitment to advancing the nation’s science and technology enterprise by strengthening mathematics education,” stated Kaye Husbands Fealing, assistant director for NSF SBE. “The knowledge and skills supported through this program are essential for student success and for building a workforce prepared to lead in artificial intelligence, biotechnology, and quantum technologies.”
CAMEL makes use of a two-phase method to advertise each innovation and long-term affect. Phase I helps the creation of recent interdisciplinary analysis networks that generate or improve high-value AI-ready datasets to advance understanding of Okay-12 arithmetic studying. These networks should embody specialists in the fundamental science of studying, education practitioners, and knowledge scientists.
Phase II of CAMEL, open solely to Phase I awardees, establishes a nationwide collaboratory, a socio-technical platform designed to construct group, strengthen capability and maintain collaboration past particular person awards to maintain a united effort to advance math studying and education in Okay-12. This distinctive platform will synergize analysis efforts and sources and stimulate cooperation amongst people and sectors.
CAMEL advances the targets of the administration’s executive order on “Advancing Artificial Intelligence Education for American Youth” by strengthening the foundational arithmetic abilities wanted for AI literacy, innovation, and using rising applied sciences and by creating new AI-ready datasets. By bringing collectively researchers, classroom practitioners and knowledge scientists, CAMEL helps evidence-based approaches and insights that put together college students and educators to have interaction with AI-enabled instruments and studying environments, whereas increasing participation in science, expertise, engineering and arithmetic.
To be taught extra, please plan to hitch a webinar on Tuesday, January 6, at 4 p.m. EST. Please register in advance for the webinar.
Get extra details about CAMEL.