Polygence mentor Ben introduces students to data science through project-based learning
4 minute read
Ben, a Stanford PhD candidate in Education, is the epitome of the two major qualities we seek out in our mentors: he’s an expert in his field of study — data science — and he’s a multifaceted, extensively experienced educator. Ben is not only working on his PhD in data science and education, but he has also been a high school math teacher through Teach for America. In between these experiences, he spent three years developing math curriculum for Khan Academy and two at the University of Chicago’s for a Data Science fellowship. For his PhD, Ben is now combining his two passions in the most perfect way. He is conducting research in education using data science, capitalizing on the abundance of data that is now available about how students learn after the explosion of online learning platforms in recent years. “We have unbelievable amounts of data within education today. My focus is educational data science, which I would broadly characterize as how to extract value out of that data. How can we give students better questions to help them learn more? How can we make smarter decisions about what material a student has mastered?”
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