EVENT DETAILS
Monday / CS Seminar
October 23rd / 12:00 PM
Hybrid / Mudd 3514
Speaker: Eleanor "Nell" O'Rourke, Northwestern University
Zoom Link: https://northwestern.zoom.us/j/96480997253?pwd=Y1E1aS80S1NZZXpaV2J0dDdLVXNzUT09
Panopto: https://northwestern.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=39549fbf-0bc0-4487-a00e-b09a00fa3f20
Title
Why Do Students Think They're Bad at Programming? Towards Intelligent Systems to Support Motivation and Learning in CS1
Abstract
In this talk, I will introduce a surprising motivational challenge in the domain of computer science education: students often think they're bad at programming, even when they are performing well. I will present a series of studies showing that students in introductory courses assess their own programming ability frequently, using criteria that are often misaligned with best practices (e.g. "I should be able to debug quickly based off a first glance"; "I shouldn't have to sit there and think"). Then, I will show how we can use these self-assessment criteria as a lens to better understand student experiences and the ways they approach learning. Finally, I will present research exploring the design of intelligent programming environments that can automatically detect potential self-assessment moments and provide feedback to help students re-frame these experiences. Through this body of work, I will demonstrate the value of conducting research that crosses the boundaries of human-computer interaction and the learning sciences to deeply understand learning contexts and inform the design of novel learning environments.
Biography
Eleanor O'Rourke is an Assistant Professor in Computer Science and the Learning Sciences at Northwestern University, where she co-directs the interdisciplinary Delta Lab. Her research explores the design of novel computational systems to support motivation and learning in STEM domains. Recent projects include studying student beliefs about programming ability in introductory computer science courses, designing game mechanics that encourage students to practice effective problem-solving skills, and developing web inspection tools that allow novice developers to learn directly from authentic professional websites. Her interventions have been used by over 100,000 students online, adopted by companies, and integrated into classrooms. Her work has been recognized through an NSF CAREER Award, a Google Systems Research Award, and best paper awards and nominations at SIGCSE, UIST, and CHI.
TIME Monday October 23, 2023 at 12:00 PM - 1:00 PM
LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
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CONTACT Wynante R Charles wynante.charles@northwestern.edu
CALENDAR Department of Computer Science (CS)