Large, high-enrollment computing courses are adopting more structured approaches to supporting students, but questions remain about which structures effectively support teaching and learning. We present a mixed-methods investigation of a large CS2 course that leverages a Student Support System (SSS), which combines flexible extensions with one-on-one support meetings. Through behavioral profiling of student engagement and thematic analysis of support staff interviews, we find that while the SSS expanded access, fostered human connection, and reached underrepresented students, it failed to produce equitable academic outcomes. Our findings reveal the limits of reactive, human-dependent support at scale and highlight suggestions for redesigns. We invite further discussion on where well-intentioned systems like the SSS can fall short and what improvements are needed.

Thu 19 Feb

Displayed time zone: Central Time (US & Canada) change

13:40 - 15:00
Improving Learning at Scale: Practice, Assessment, and Support in Large Computing CoursesPapers at Meeting Room 102
Chair(s): Preeti Raman Toronto Metropolitan University
13:40
20m
Talk
Developing Problem-Solving Competency in Data Science: Exploring A Case-Based Approach
Papers
Lujie Karen Chen University of Maryland, Baltimore County, Maryam M. Alomair University of Maryland - Baltimore County, Muhammad Ali Yousuf University of Maryland, Baltimore County, Shimei Pan UMBC
14:00
20m
Talk
Encouraging Learning Through Repetition: Effects of Multiple Practice Opportunities in a Large Intro Programming Course
Papers
Jordan Elise Tate pc, Supriya Naidu University of Colorado at Boulder
14:20
20m
Talk
Improving the Reliability of Grading Written-Response Coding Questions in a Large CS1 Course
Papers
Wei Jin Georgia Gwinnett College, Xin Xu Georgia Gwinnett College, Hyesung Park Georgia Gwinnett College, Evelyn Brannock Georgia Gwinnett College, Tacksoo Im Georgia Gwinnett College
14:40
20m
Talk
When Support Isn’t Enough: Understanding and Redesigning Student Support Systems in Large Computing Courses
Papers
Teresa Luo University of California, Berkeley, Chenkun Sheng University of California, Berkeley, Lisa Yan UC Berkeley