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“The second half of the vision [for my course], is that machine learning concepts should be accessible.”
In this episode, we speak with Zachary Pardos, an associate professor at the UC Berkeley School of Education and director of the Computational Approaches to Human Learning research lab, where they focus on education data science and how to utilize AI to shape education at all levels. Today, he discusses the field of education data science and ponders its possible future. In addition, he shares some findings from the research that he’s done and from his own experiences in the classroom.
“…We need to be in conversation with policy makers, with administrators, with decision makers, so that it can be […] a joint learning process of how data scientists, domain experts, policy makers, and AI […] can collaborate.”
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