| 2026 | Leveraging Computational Thinking in Content-Aligned and Heritage-Connected Project-Based Learning. | Merijke Coenraad, Emi Iwatani |
| 2026 | Personalized Exam Prep (PEP): Scaling No-Stakes, No-LLM Dialogue-Based Assessments in a Large CS Course. | Kelly Cochran, Chris Piech |
| 2026 | Pedagogical Process Models of Undergraduate Computing Tutors. | Esse Ciego, Skyler Steiert, Amanpreet Kapoor |
| 2026 | Exploring Undergraduate Computing Tutors' Pedagogical Practices. | Esse Ciego, Skyler Steiert, Amanpreet Kapoor |
| 2026 | Integrating Human-Centered Data Science into Computing Education: Insights from Semi-Structured Interviews. | Victoria Chui, Kelly McConvey, Daniel Chui, Malayna Bernstein, Shion Guha |
| 2026 | Code & Concept: Exploring Teacher Perspectives on CS Conceptual Pattern Extraction. | Aaja Christie, Anu G. Bourgeois |
| 2026 | Improving Privilege Levels and Memory Protection for Teaching in Embedded Xinu. | Spencer Christensen, Spencer O'Brien |
| 2026 | Cracking the Classroom Coding Interview: Technical Interviews as an Assessment of Student Learning. | Suh Young Choi, Arpan Kapoor, Kevin Lin, Suraj Rampure |
| 2026 | Feedback Engagement and Analysis in Assessments (FEAST) in Computing Education. | Sona Chitchyan, Marcos D. Caballero, Madison Nomer, Luke Karam |
| 2026 | Supporting K-12 CS Teacher Identity Development through Peer Mentoring. | Aleata Hubbard Cheuoua, Portia Morrell, Bryan Twarek, Tonya Davis, Kathleen Effner, Amy Fetherston, Kevin Jala, Linnea Logan |
| 2026 | Students' Evaluation of a Free and a Paid Interactive eTextbook for Computing Education. | Anya Chernova, Audria Montalvo, Vinod Vairavaraj, Liam Hardy, Adalbert Gerald Soosai Raj |
| 2026 | Exploring LLMs for Generating Erroneous Examples in CS1. | Yuxuan Chen, Chenyan Zhao, Kangyu Feng, Junyu Zhang, Vedan Malhotra, Mariana Silva |
| 2026 | Personal Informatics in Undergraduate Data Science: Learning by Analyzing the Self. | Lujie Karen Chen, Jennifer Posada, Sydnee Angus |
| 2026 | Story Studio Plus: Coaching Data Storytelling Competency in the era of AI. | Lujie Karen Chen, Taha Hassan, Louise Yarnall, Jiaqi Gong |
| 2026 | CSTutorBench: Benchmarking Large Language Models for Realistic Computer Science Tutoring. | Zekai Cheng, Yunfeng Wan, Daijiao Liu, Yuekang Li, Yuchao Jiang, Dong Gong |
| 2026 | Show or Tell? Piloting an AI Feedback Tool for Data Story Reading in Introductory Data Science. | Lujie Karen Chen, Supakit Boonsongprasert, Sachin Pathak |
| 2026 | Fostering Cross-disciplinary Competency in Undergraduate Data Science Education: Exploring a Collaborative Teaching Approach. | Lujie Karen Chen, Katie Birger |
| 2026 | Developing Problem-Solving Competency in Data Science: Exploring A Case-Based Approach. | Lujie Karen Chen, Maryam M. Alomair, Muhammad Ali Yousuf, Shimei Pan |
| 2026 | Proactive Listening to Student Voices: Automating Reddit Summaries for Education Leaders. | Matt Hao Chen |
| 2026 | Compiling Course Insights: A Dashboard for Holistic Views in CS Education. | Matt Hao Chen |
| 2026 | Emerging AI and the Need for a Novel Evaluation Framework in Undergraduate Computer Science Education. | Rudraksh Chaudhry, Emily Nutwell |
| 2026 | Developing and Sustaining Summer Bridge Programs. | Oindree Chatterjee, Carolyn Wang, Alvaro Monge, Colleen M. Lewis, Narges Norouzi |
| 2026 | Scaling Large CS Courses via Full-time Teaching Support Staff. | Alex Chao, Yesenia Velasco |
| 2026 | How Shared Gender Identity with Teaching Assistants Relates to Student Outcomes in an Undergraduate Algorithms Course. | Alex Chao, Janet Jiang, Kristin Stephens-Martinez |
| 2026 | Demystify, Use, Reflect: Preparing students to be informed LLM-users. | Nikitha Donekal Chandrashekar, Sehrish Basir Nizamani, Margaret Ellis, Naren Ramakrishnan |