This $320,000 three-year Project Grant from the National Science Foundation's STEM Education program (CFDA 47.076) supports the development and delivery of ten data science courses to over 200 undergraduates from a consortium of eleven diverse universities. Led by Florida A&M University, the consortium will leverage distributed learning technologies to provide data science instruction and research experiences traditionally unavailable at smaller or minority-serving institutions. Through an adaptive distributed learning platform modeled after the U.S. military's advanced system, the project aims to personalize learning and analyze the efficacy of artificial intelligence-augmented pedagogies. A sub-award of $50,000 to Jackson State University will support their students' participation. The consortium's cross-institutional collaboration and use of innovative learning models seeks to broaden equal access to data science training and prepare students from all backgrounds for STEM careers.
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