SIGCSE TS 2026
Wed 18 - Sat 21 February 2026 St. Louis, Missouri, United States
SIGCSE TS 2026 (series) / Doctoral Consortium /

Large Language Model Tools for Enhancing Student Learning Processes in Computing Education

SIGCSE TS 2026 Doctoral Consortium
Wed 18 Feb 2026 08:30 - 17:00 at Meeting Room 276 - Doctoral Consortium Chair(s): Barbara Ericson, Susan Rodger

Wed 18 Feb

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

08:30 - 17:00
Doctoral ConsortiumDoctoral Consortium at Meeting Room 276
Chair(s): Barbara Ericson University of Michigan, Susan Rodger Duke University
08:30
8h30m
Talk
Novel Pedagogical Games Powered by Large Language Models for Computer Science Education
Doctoral Consortium
Kathleen Kelly Colorado School of Mines
08:30
8h30m
Talk
Large Language Model Tools for Enhancing Student Learning Processes in Computing Education
Doctoral Consortium
Opetunde Ibitoye University of Cincinati
08:30
8h30m
Talk
CS1 Instructor Tools for Actionable and Informed Interventions
Doctoral Consortium
Abigail Liu University of Delaware
08:30
8h30m
Talk
Designing AI-Resistant Assignments via Iterative Perturbation to Promote Interactive Learning
Doctoral Consortium
Sam Gilson North Carolina State University
08:30
8h30m
Talk
Helping Programming Students Find and Fix Performance Bugs
Doctoral Consortium
Hope Dargan MIT CSAIL
08:30
8h30m
Talk
What skills do students need to use programming environments?
Doctoral Consortium
Idel Martinez-Ramos Georgia Institute of Technology
08:30
8h30m
Talk
Aligning Student and Educator Mental Models of Generative AI Use for Productive Teaching and Learning
Doctoral Consortium
Amrita Ganguly pc
08:30
8h30m
Talk
How Retrieval Augmented Generation Can Assist Secondary Computer Science Educators - Research Description
Doctoral Consortium
Christopher Watson Howard University
08:30
8h30m
Talk
Self-Selected Experience-Based Grouping in CS1: Examining Student Success and Persistence in CS Major
Doctoral Consortium
April Crockett Tennessee Tech University
08:30
8h30m
Talk
Computing in the Everyday: Engaging Teachers and Learners in Authentic and Personal Data Interactions
Doctoral Consortium
Ashley Quiterio Northwestern University
08:30
8h30m
Talk
Toward Design Principles for Integrating Computing into K-12 Science and Engineering Through Block-Based Modeling
Doctoral Consortium
Adelmo Eloy University of Sao Paulo (USP)
08:30
8h30m
Talk
Diagnosing Students’ Understanding of Objects and Classes in OOP
Doctoral Consortium
Priyadharshini Ganapathy Prasad University of Florida
08:30
8h30m
Talk
Teaching the algorithm design technique selection process
Doctoral Consortium
Dip Kiran Pradhan Newar pc
08:30
8h30m
Talk
From Code Generation to Learning: Investigating AI-Assisted Programming in Computing Education
Doctoral Consortium
Salma El Otmani University of Illinois at Urbana Champaign
08:30
8h30m
Talk
Exploring Generative AI for Learning Experiences and Instructional Practices in Software Engineering Education
Doctoral Consortium
Tianjia Wang Virginia Tech
08:30
8h30m
Talk
Teaching Students through Comparing Code in CS1
Doctoral Consortium
Azeeza Eagal North Carolina State University
08:30
8h30m
Talk
Empowering Computer Science Teachers by Integrating AI into Learning Environments
Doctoral Consortium
Bahare Riahi North Carolina State University
08:30
8h30m
Talk
An Intervention for Bolstering Help-Seeking Efficacy and Enriching Help-Seeking Approaches
Doctoral Consortium
Shao-Heng Ko Duke University
08:30
8h30m
Talk
Wearable Electrotactile Feedback for Motor Skill Acquisition
Doctoral Consortium
Vishruti Ranjan National University of Singapore
08:30
8h30m
Talk
A Student-Centered Approach to the Discrete Mathematics Curriculum
Doctoral Consortium
David Magda University of Florida
Opetunde Ibitoye

Opetunde Ibitoye

University of Cincinati