Abstract
This talk will introduce the API Can Code, an interest-driven data science curriculum for high school students. We will focus on strategies for integrating data science learning within students’ lived experiences and fostering authentic engagement. Drawing on insights from classroom implementations, we will explore methods for designing contextually relevant and meaningful educational experiences in data science.
David Weintrop
David Weintrop is an Associate Professor and the Dean’s Impact Professor in the Department of Teaching & Learning, Policy & Leadership in the College of Education with a joint appointment in the College of Information at the University of Maryland. His research focuses on the design, implementation, and evaluation of effective, engaging, and equitable computational learning experiences. His work lies at the intersection of design, computer science education, and the learning sciences. David holds a Ph.D. in the Learning Sciences from Northwestern University and a B.S. in Computer Science from the University of Michigan.
