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PHASE I CAMEL-CN: BUILDING INTEGRATED DATA FOR EDUCATION, AI, AND LEARNING TO SUPPORT K-12 MATHEMATICS RESEARCH AND PRACTICE (IDEAL-MATH) -EARLY MATHEMATICAL LEARNING BUILDS AN IMPORTANT FOUNDATION FOR LATER MATH ACHIEVE

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PHASE I CAMEL-CN: BUILDING INTEGRATED DATA FOR EDUCATION, AI, AND LEARNING TO SUPPORT K-12 MATHEMATICS RESEARCH AND PRACTICE (IDEAL-MATH) -EARLY MATHEMATICAL LEARNING BUILDS AN IMPORTANT FOUNDATION FOR LATER MATH ACHIEVEMENT AND STEM CAREERS. LARGE DATASETS PLAY A UNIQUE AND ESSENTIAL ROLE IN ADVANCING OUR UNDERSTANDING OF STUDENTS? MATHEMATICS LEARNING AND HOW TEACHERS AND SCHOOLS CAN SUPPORT THAT EARLY LEARNING. THIS PROJECT INTEGRATES SIX EXISTING DATASETS SPANNING 90,000 ELEMENTARY SCHOOL STUDENTS AND THEIR 3,000 TEACHERS INTO A COMBINED DATASET FOCUSED ON NUMEROSITY AND MATHEMATICAL OPERA

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recordType

award

region

US

value

1509240

unit

USD