As data science education rapidly expands in K-12 and higher education, equity must be a fundamental consideration in access, instruction, design, and student outcomes. This session will explore key challenges and opportunities to advance equity in data science education from multiple perspectives. How are program leaders in data science education at the K-12 and secondary levels keeping equity at the forefront? How can the experiences of students in data science education inform our understanding of equity?
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