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ORCIDKoli Calling 2025: Koli, Finland
- Juho Leinonen
, Rodrigo Duran:
Proceedings of the 25th Koli Calling International Conference on Computing Education Research, Koli Calling 2025, Koli, Finland, November 11-16, 2025. ACM 2025, ISBN 979-8-4007-1599-0
Keynote
- R. Benjamin Shapiro:
The Coin Has Three Sides: Human-Computer Symbiosis in the Future of Computing Education. 1:1
Full Papers
- Alexis Tarter, Moyan Zhou, Svetlana Yarosh, David DeLiema:
"A River of Tears Is a Valid Answer?": Social Science Graduate Students' Experiences Learning Programming for Research. 2:1-2:12 - Jaemarie Solyst, Chloe Fong, Faisal Nurdin, Rotem Landesman, R. Benjamin Shapiro:
"Grillz on a hijabi": Intersectional Identities in Fostering Critical AI Literacy. 3:1-3:11 - Alina Torbunova, Ivan Porres:
A Survey of Security Concepts in Introductory Programming Courses in Finland. 4:1-4:11 - Jinyoung Hur, Michael M. Kang, Junmee Park, Kathryn I. Cunningham:
Applying the Model of Interest Development to Understand Why Non-CS Majors Decide to Persist in or Leave Computing. 5:1-5:12 - Henry Hickman, Timothy C. Bell:
Assessing Introductory Programmers' Use of Conditions and Control Structures. 6:1-6:12 - Seth Bernstein, Ashfin Rahman, Nadia Sharifi, Ariunjargal Terbish, Stephen MacNeil:
Beyond the Benefits: A Systematic Review of the Harms and Consequences of Generative AI in Computing Education. 7:1-7:18 - Maxwell Fundi, Jane Kimani, Patrick Njoroge, Ismaila Temitayo Sanusi, Lazarus Kioko, Faith Njoroge, Magdalene Chorongo, Victor Mmulah, Solomon Sunday Oyelere:
Blended Teacher Professional Development for integrating Scratch Coding in classrooms in Western Kenya. 8:1-8:11 - Judith Stanja, Jessica Rose Meier, Johannes Krugel:
Children's and Adolescents' Anthropomorphic Conceptions of Social Robots and Chatbots - A Systematic Literature Review. 9:1-9:10 - Isabella Graßl, Benedikt Fein, Gordon Fraser:
Detecting Gender Stereotypes in Scratch Programming Tutorials. 10:1-10:12 - Marko Schmellenkamp, Florian Schmalstieg, Thomas Zeume:
Errors and Misconceptions in First-Order Logic Modeling. 11:1-11:11 - Anshul Shah, Thomas Rexin, Elena Tomson, William G. Griswold, Leo Porter, Adalbert Gerald Soosai Raj:
Evolution of Programmers' Trust in Generative AI Programming Assistants. 12:1-12:11 - Isaac Alpizar Chacon, Hieke Keuning, Imke de Jong, Ioanna Lykourentzou, Susan Rings:
Excited, Skeptical, or Worried? A Multi-Institutional Study of Student Views on Generative AI in Computing Education. 13:1-13:11 - Nicolas Tuor, Laila El Hamamsy, Morgane Chevalier, Jérôme Brender, Engin Bumbacher:
Explicitly Teaching Debugging in Primary School: Effectiveness, Transferability and Durability. 14:1-14:12 - Steven Bradley, Rosanne English, Sally Fincher, Duncan Hull, Mark Zarb:
From Marco to Maria: Ten Years of the Computing Education Practice Conference. 15:1-15:11 - Ali Alfageeh, Sadegh AlMahdi Kazemi Zarkouei, Daye Nam, Daniel Prol, Matin Amoozadeh, Souti Chattopadhyay, James Prather, Paul Denny, Juho Leinonen, Michael Hilton, Sruti Srinivasa Ragavan, Amin Alipour:
From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions. 16:1-16:11 - Naaz Sibia, Jessica Wen, Amber Richardson, Yashika Jain, Angela M. Zavaleta Bernuy, Bogdan Simion, Andrew Petersen, Carolina Nobre, Michael Liut:
From State to Structure: Towards Abstraction Support in CS2. 17:1-17:12 - Jelena Trajkovic, Anna E. Bargagliotti, Christine Alvarado, Cassandra Guarino, Robert J. Rovetti, Yiwang Li:
Gender Differences in the Pathway from Application through Graduation in a Computer Science Major. 18:1-18:12 - Nicholas Gardella, Joseph Shelton, Isabella Graßl, Sara Riggs:
HBCU Student Perspectives on Identity, Persistence, and Code-Generating AI in CS Education: A Case Study. 19:1-19:12 - Sara Fiori, Glenn Strong, Jonathan Dukes:
How Are We Teaching Programming to Students with Intellectual Disabilities? A Systematic Review of the Literature. 20:1-20:12 - Julia Hermann:
How Service-Learning with People with Disabilities Relates to Changes in Computing Students' Attitudes, Self-Efficacy, and Personal Growth. 21:1-21:12 - Elena Spörer, Tilman Michaeli:
Investigating Debugging Processes: A Scoping Review. 22:1-22:12 - Rafael Corsi Ferrão, Igor dos Santos Montagner, Rodolfo Azevedo, Mariana Silva, Craig B. Zilles:
Investigating the Impact of Automated Code Quality Feedback in an Embedded Systems Course. 23:1-23:12 - Sadia Sharmin, Yohan Kim:
Lessons in Innovations, Interventions, and Kindness from the Global Pandemic: A Review of CS Education During COVID-19. 24:1-24:11 - Felix T. J. Dietrich, Yuchen Zhou, Tobias Wasner, Stephan Krusche, Maribel Acosta:
LLM-Based Multi-Artifact Consistency Verification for Programming Exercise Quality Assurance. 25:1-25:11 - Stephanie Yang, Melissa Chen, Bertrand Schneider:
Navigating Appropriate Help-seeking with LLMs: Associations with Motivation and Beliefs in a CS course. 26:1-26:12 - Emma Hogan, Alejandro Cuevas Villalba, Hanan Hibshi, Nicolas Christin:
Observations of Highly Successful, Distributed Teams in a K-12 Online Security Competition. 27:1-27:13 - Jade Hak, Nathaniel Lam Johnson, Matin Amoozadeh, Amin Alipour, Souti Chattopadhyay:
Observing Without Doing: Pseudo-Apprenticeship Patterns in Student LLM Use. 28:1-28:11 - Claudia Szabo, Judy Sheard, Lauri Malmi, Päivi Kinnunen:
Parsons problems and computing education learning theories. 29:1-29:10 - Marina Tawfik, Andrew Petersen, Leo Porter, Lisa Zhang:
Prerequisites and Performance in a Machine Learning Course: A Quantitative Analysis. 30:1-30:11 - Katrin Kunz, Jana Wacker, Tim Wenzel, Aki Schumacher, Katerina Tsarava:
Programming Structures and Their Misconceptions Across Modalities: The Pilot Study of a Code Tracing Assessment For Talented Primary School Students. 31:1-31:12 - Thom Kunkeler, Matthew Barr, Maria Kallia, Oana Andrei, Xiaohan Li, Andrew Muncey, Aletta Nylén, Megan Venn-Wycherley:
Same Structures, Different Settings: Exploring Computing Capital and Participation across Cultural Contexts. 32:1-32:10 - Sven Jacobs, Jan Haas, Natalie Kiesler:
Student Engagement with GenAI's Tutoring Feedback: A Mixed Methods Study. 33:1-33:12 - Sören Sparmann, Rukiye Altin, Andreas Mühling, Carsten Schulte:
Surfacing Educational Traditions in European K-12 Computing Curricula: A Large-Scale NLP-Based Comparison. 34:1-34:12 - Viktoriya Olari, Ralf Romeike:
Teaching Data Concepts and Practices in Secondary School Education on Artificial Intelligence: Approaches, Mechanisms, and Emerging Local Theories. 35:1-35:12 - Henriikka Vartiainen, Matti Tedre:
The CEDE Model: A Learning-Sciences Based Approach for Critical and Transformative K-12 AI Education. 36:1-36:11 - Sonsoles López-Pernas, Kamila Misiejuk, Eduardo Oliveira, Mohammed Saqr:
The dynamics of the self-regulation process in student-AI interactions: The case of problem-solving in programming education. 37:1-37:12 - Patrick Bassner, Anna Lottner, Stephan Krusche:
Towards Understanding the Impact of Context-Aware AI Tutors and General-Purpose AI Chatbots on Student Learning. 38:1-38:11 - Eduardo Carneiro Oliveira, Hieke Keuning, Johan Jeuring:
Uncovering Behavioral Patterns in Student-LLM Conversations during Code Refactoring Tasks. 39:1-39:11
Discussion Papers
- Menasha Thilakaratne, Weitong Tony Chen, Matthew Brennan, Nickolas J. G. Falkner, Claudia Szabo:
Building a Strong Base: The Impact of Mastery Learning on Foundation of Computer Science Courses. 40:1-40:7 - Oka Kurniawan, Erick Chandra, Christopher M. Poskitt, Yannic Noller, Kenny Tsu Wei Choo, Cyrille Jégourel:
Designing for Novice Debuggers: A Pilot Study on an AI-Assisted Debugging Tool. 41:1-41:7 - Neil C. C. Brown, Marcus Messer, Jennifer Ikin:
Failures in Reliably Assessing Program Code Readability. 42:1-42:7 - Sven Jacobs, Natalie Kiesler:
GenAI Voice Mode in Programming Education. 43:1-43:8 - Markus Brenneis, Janine Golov:
Is Class Attendance Actually Necessary? Preliminary Results From Two First-Semester Computer Science Courses. 44:1-44:6 - Joshua G. Lock, Neil C. C. Brown, Michael Kölling:
Programming Education for Blind and Low Vision Users: Beyond Reading the Screen. 45:1-45:7 - Brent N. Reeves, James Prather, Paul Denny, Juho Leinonen, Stephen MacNeil, Andrew Luxton-Reilly, Sebastian Mateos Nicolajsen, Claus Brabrand:
Prompts First, Precision Later: Reviving the Vision of Natural Language Programming for Computing Education. 46:1-46:8 - Julia Hermann, Nadine Jansen, Ulrike Richter, Alfred Fleer, Aysegül Dogangün:
Teaching Participatory Inclusive IT Design with a Neurodiversity Lens in Computing Education. 47:1-47:9 - Antti Laaksonen, Kai Korpimies, Matti Luukkainen:
Trends in Students' SQL Queries in the Era of Generative AI. 48:1-48:7 - Ayaan M. Kazerouni, Zainab Agha, Aleata Hubbard Cheuoua, Melissa Lee, Jane Lehr, Ilmi Yoon, Zoë J. Wood:
What Topic Domains Interest Students in Socially Responsible Computing Coursework? 49:1-49:7
Poster and Demo Abstracts
- Nicolas Pope, Matti Tedre:
A Teachable Machine for Transformers. 50:1-50:3 - Sadia Sharmin, Paul He:
Alternative Grading at Scale: Insights from Implementing Weekly Checkpoint Quizzes in a Large Introductory CS Course. 51:1-51:3 - Jarmila Skodová, Timo Hynninen:
Evaluating AI Student's Performance in Programming MOOCs: Preliminary Study and Interactive Dashboard. 52:1-52:3 - Olli Hilke, Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Teemu Roos, Tuomo Parkki, Matti Tedre:
Failure as a Learning Opportunity in AI Literacy. 53:1-53:3 - Lucas Brown, Daniel Zingaro, Andrew Petersen, Mike Serafin, Tingting Zhu:
Hundreds of Warnings in Accessibility Checkers! How can ChatGPT Help? 54:1-54:3 - Amber Richardson, Khushi Malik, Saayna Halder, Fatima Ahmed, Lisa Zhang:
Interests and Challenges in Machine Learning: Differences by Gender, Prior Experience, and First Generation Status. 55:1-55:2 - Radu Mariescu-Istodor, Anssi Gröhn:
LEO: A Live Coding Assistant for Teachers. 56:1-56:3 - Jessica Rose Hirst, Eleni C. Akrida, Steven Bradley:
Neurodivergence in Computing Education: Prevalence and Future Research Directions. 57:1-57:3 - Francisco Enrique Vicente Castro, Mohammad Hadi Nezhad, Mark Iyer, Ivon Arroyo:
Using Open-Ended Responses to Design an Assessment Tool for Ethical and Responsible Computing Learning Activities. 58:1-58:3 - Corinna List, Moritz Müller, Michael Kipp:
Yet Another Collection of Programming Misconceptions - To Help Educators Find What Matters. 59:1-59:3
Doctoral Consortium Poster Abstracts
- Thom Kunkeler:
A Register-Based Data Approach for Studying the Transition from High School to Higher Education in Computing. 60:1-60:2 - Elena Spörer:
Analyzing Process Data of Students' Debugging Processes. 61:1-61:2 - Laura Sinikallio:
Enabling argumentation in online learning. 62:1-62:2 - Aamna Rais Ahmed:
Exploring Blended Learning in the context of Project based courses in Undergraduate Computing Education: A Community of Inquiry Approach. 63:1-63:2 - Jing Fan:
Large Language Models for Personalized and Scalable Computer Education. 64:1-64:2 - David Odafe Okafor:
Learning AI through a Culturally-Infused, Gamified and Collaborative Platform. 65:1-65:3 - Merel Steenbergen:
Practicing Collaboration with Student Programming Projects. 66:1-66:3 - Géraldine Brieven:
Teaching CS1 students to adopt a structural view to solve problems - Motivating that abstraction via a Collaborative Activity and Training it via Automated Feedback. 67:1-67:2 - Afonso B. Caniço:
Turning Programming Obstacles into Timely Learning Opportunities with Questions about Learners' Code. 68:1-68:3
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