Blogs (3) >>

This program is tentative and subject to change.

Fri 28 Feb 2025 13:45 - 14:03 at Meeting Rooms 317-318 - CS1 TAs

The challenge of student retention in introductory-level computing classes is a key contributor to the lack of diversity in computing fields. While teaching assistants (TAs) play a critical role in these classes, their role in supporting student retention is yet to be explored. We employed a special TA, a retention TA (RTA), who focuses exclusively on supporting students who are at risk of failing the course. RTAs target students who are retaking the class or underperforming in exams or assignments. This contrasts with regular TAs, who focus on grading and other standard duties. In Spring 2024, four RTAs were assigned to four different introductory-level computing CS1 and CS2 classes. At the end of the semester, we analyzed student attendance records and compared the performance of students who sought help from RTAs to the overall class performance. In two of the four classes, students who engaged with RTAs performed better than the class average. We share experiences from one of those classes, including specific RTA strategies that may have contributed to student success, such as personalized communication, reviewing course content, and helping students get started on assignments.

This program is tentative and subject to change.

Fri 28 Feb

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

13:45 - 15:00
13:45
18m
Talk
Retention Teaching Assistants for Supporting Student Performance in Introductory-level Computing Classes
Papers
Kazi Sinthia Kabir University of Utah, Eliane Wiese University of Utah, Travis Martin University of Utah, Sahil Karki University of Utah, Erin Parker University of Utah, Mary Hall University of Utah
14:03
18m
Talk
Unlocking Student Potential With TA-Bot: Timely Submissions and Improved Code Style
Papers
Jack Forden Marquette University, Matthew Schneider Carnegie Mellon University, Alexander Gebhard Marquette University, Md. Tahmidul Islam Molla Marquette University, Dennis Brylow Marquette University
14:22
18m
Talk
Code Interviews: Design and Evaluation of a More Authentic Assessment for Introductory Programming Assignments
Papers
Suhas Kannam University of Washington, Yuri Yang University of Washington, Aarya Dharm University of Washington, Kevin Lin University of Washington, Seattle
14:41
18m
Talk
Feasibility Study of Augmenting Teaching Assistants with AI for CS1 Programming FeedbackGlobal
Papers
Umair Z. Ahmed National University of Singapore, Shubham Sahai National University of Singapore, Ben Leong National University of Singapore, Amey Karkare IIT Kanpur