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ORCIDICER 2025: Charlottesville, VA, USA
- Leo Porter, Neil Brown, Briana B. Morrison, Calkin Suero Montero:
Proceedings of the 2025 ACM Conference on International Computing Education Research V.1, ICER 2025, Charlottesville, VA, USA, August 3-6, 2025. ACM 2025, ISBN 979-8-4007-1340-8
Session A: University Computing Students
- Daniel Manesh
, Tong Wu, Yan Chen, Sang Won Lee:
Understanding and Improving Student Note-Taking in Live Coding Lectures. 1-15 - Michelle Jensen, Matthew Berland, Rahul Chatterjee:
Do CS Undergraduates Show Evidence of a Security Mindset without Formal Coursework? An Exploratory Qualitative Study. 16-26 - Anshul Shah, Thomas Rexin, Anya Chernova, Gonzalo Allen-Perez, William G. Griswold, Adalbert Gerald Soosai Raj:
Needles in a Haystack: Student Struggles with Working on Large Code Bases. 27-40
Seession B: Teaching Considerations
- Mariam Saffar Perez, Colleen M. Lewis, Rebecca Hinze-Pifer:
Analyzing High School CS Teachers' Likelihood of Attrition. 41-50 - Dustin Palea, Elijah Kirby, Madison Gruender, Bryan Min, Jessalyn Wang, David T. Lee:
Lessons from Designing a Course and Platform for Teaching Qualitative Analysis Experientially in a Large Course-Based Community Consultancy. 51-65 - Aadarsh Padiyath, Casey Fiesler, Mark Guzdial, Barbara Ericson:
Validation of the Critical Reflection and Agency in Computing Index: Do Computing Ethics Courses Make a Difference? 66-81
Session C: Secondary School Student Experience
- Joseph C. Tise, Monica M. McGill:
Predicting Middle and High School Students' Intentions to Pursue CS from their Communal and Agentic Goal Affordances and Endorsements. 82-92 - Caryn Thiên Ngân Tran, Max Kanwal, Kristin Fasiang, Eleanor O'Rourke:
Exploring Student-Perceived Dimensions of Authenticity in High School Computer Science. 93-108
Session D: Generative AI Use and Literacy
- Summit Haque, Christopher D. Hundhausen:
Generative AI Access, Usage, and Perceptions: An Empirical Comparison of Computing Students In The United States and Bangladesh. 109-124 - Xingjian Lance Gu, Barbara J. Ericson:
AI Literacy in K-12 and Higher Education in the Wake of Generative AI: An Integrative Review. 125-140
Session E: (Mis)conceptions in programming
- Morten Bastian, Andreas Mühling:
Misconceptions in Programming: Intuitive Reasoning and Tracing Task Performance Across Experience Levels. 141-154 - Aviad Baron, Dror G. Feitelson:
Is "notDone" the Same as "!done"? The Effect of Different Ways for Expressing Negation. 155-165 - Luca Chiodini, Joey Bevilacqua, Matthias Hauswirth:
Surveying Upper-Secondary Teachers on Programming Misconceptions. 166-180
Session F: Assessment part 1
- Aditya Pathak, Rachit Gandhi, Vaibhav Uttam, Arnav Ramamoorthy, Pratyush Ghosh, Aaryan Raj Jindal, Shreyash Verma, Aditya Mittal, Aashna Ased, Chirag Khatri, Yashwanth Nakka, Devansh, Jagat Sesh Challa, Dhruv Kumar:
Rubric Is All You Need: Improving LLM-Based Code Evaluation With Question-Specific Rubrics. 181-195 - Florian Schmalstieg, Marko Schmellenkamp, Jakob Schwerter, Thomas Zeume:
Difficulty Generating Factors for Context-free Language Construction Assignments. 196-209 - Marcus E. Gubanyi, Leen-Kiat Soh:
Evaluating Programming Assignments and Compile-and-Run Prompts in CS1 by Observing Student Programming Behaviors. 210-226
Session G: Perspectives on Generative AI
- Abbey Gandhi, Kasia Muldner:
"That's Not the Way I Would Explain It": A Teacher-Researcher's Autoethnography of Learning to Program With ChatGPT. 227-239 - Maria Kallia:
To Be, or to Be Otherwise? Silicon Souls in Search of Dasein and Authentic Human Engagement in the Age of Generative AI. 240-255
Session H: Computing in Context
- Urs Hauser, Elsbeth Stern, Dennis Komm:
Improving Spatial Abilities: Educational Robotics versus Turtle Geometry. 256-270 - Sindre Mathias Strømnes Nordvoll, Ragnhild Kobro Runde, Quintin I. Cutts, Dag I. K. Sjøberg:
Exploring the Interplay Between Learning Programming and Probability Simultaneously: A Case Study of a 9th-Grade Student. 271-283 - Lauren E. Margulieux, Masoumeh Rahimi, Yin-Chan Liao, Nooshin Haddadian, Miranda C. Parker, Brendan D. Calandra:
Comparisons between and Trends among Integrated Computing Activities Designed by Teachers and Researchers. 284-297
Session I: Student Beliefs and Approaches
- Priyadharshini Ganapathy Prasad, Karthikeyan Umapathy, Albert D. Ritzhaupt, Amanpreet Kapoor:
Creating an Instrument to Measure Undergraduate Computer Science Students' Self-Efficacy in Object-Oriented Programming (OOP): Preliminary Validity and Reliability Evidence. 298-312 - Shao-Heng Ko, Matthew Zahn, Kristin Stephens-Martinez, Yesenia Velasco, Lina Battestilli, Sarah Heckman:
Relationships Between Computing Students' Characteristics, Help-Seeking Approaches, and Help-Seeking Behavior in Introductory Courses and Beyond. 313-326 - Khushi Malik, Amber Richardson, Michelle Craig, Andrew Petersen:
Interactive Effects of Prior Experience and Gender on Self-Efficacy and Achievement in CS1. 327-343
Session J: Assessment part 2
- Romina Mahinpei, Iris Xu, Steven A. Wolfman, Firas Moosvi:
A Generalized Framework for Describing Question Randomization. 344-353 - Geoffrey L. Herman, Kajal Patel, Chinedu Emeka, Craig B. Zilles, Matthew West:
Frequent Testing vs. Second-chance Testing: An Exploration. 354-366 - Kathleen Isenegger, Salma El Otmani, John Edwards, Colleen M. Lewis:
A Randomized Controlled Trial of Syntax Exercises in an Introductory Python Course. 367-379
Session K: School Student Conceptions
- Katrin Kunz, Tim Wenzel, Jana Wacker, Katerina Tsarava:
Unplugged, Scratch, and Python: Tracing Primary Students' Preconceptions of Programming Structures. 380-393 - Jayne Everson, Rotem Landesman, F. Megumi Kivuva, Amy J. Ko:
Dreaming of Difference: Imagining the Future of CS Education Pedagogy with Secondary Students. 394-406
Session L: Student Behaviours with Generative AI
- Md. Istiak Hossain Shihab, Christopher D. Hundhausen, Ahsun Tariq, Summit Haque, Yunhan Qiao, Brian Wise Mulanda:
The Effects of GitHub Copilot on Computing Students' Programming Effectiveness, Efficiency, and Processes in Brownfield Coding Tasks. 407-420 - Elmira Adeeb, Kasia Muldner:
How Do Novice Programmers Solve Code-Tracing Problems When ChatGPT Is Available? A Qualitative Analysis. 421-434
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