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

Students in programming courses are expected to learn a new programming language while simultaneously mastering programming environments. These environments are essential for designing, building, and testing programs and include integrated development environments, text editors, and command-line interfaces. Previous research in Computer Science Education has focused on the challenges of learning to program. However, limited research has addressed the challenges students face with programming environments. To bridge this gap, I conducted interviews with 15 undergraduate students and surveyed 300 students at two R1 institutions, finding that the majority of them faced multiple challenges with programming environments. Students also shared that programming courses do not provide foundational instruction on programming environments, so they often relied on online sources, AI agents, and friends to solve these challenges. To better equip students in programming classes, we must further integrate content on programming environments into the curriculum. However, we do not know the foundational knowledge needed for effective use and problem-solving of programming environments. In my dissertation, I aim to identify the foundational knowledge and skills needed for effective use of programming environments by conducting interviews and collaborating with educators, researchers, and programmers. These conversations will help me gain a deeper understanding of their mental models and the skills they employ when setting up, using, and debugging programming environments, so that they can be broken down and scaffolded for the curriculum.

Wed 18 Feb

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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
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
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