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ORCID28th ACE 2026: Melbourne, VIC, Australia
- Simon, Claudia Szabo:
Proceedings of the 28th Australasian Computing Education Conference, ACE 2026, Melbourne, VIC, Australia, February 9-13, 2026. ACM 2026, ISBN 979-8-4007-2352-0 - Matthew Rau, John Edwards:
What Do Students Pay Attention to While Watching Others Code? 1-10 - Eric Fouh:
Integrating Human Skills and Debates into Computing Education: An Experience Report. 11-19 - Nicole Ronald:
Understanding the impacts of adapted activities for learning Agile processes in first-year subjects. 20-21 - Amanpreet Kapoor, Paul Denny, Leo Porter, Stephen MacNeil, Marc Diaz:
Exploring Student Behaviors and Motivations when using AI Teaching Assistants with Optional Guardrails. 22-31 - Annapurna Vadaparty, David H. Smith, Samvrit Srinath, Mounika Padala, Christine Alvarado, Jamie Gorson Benario, Leo Porter, Daniel Zingaro:
Evaluating CS1-LLM: Integrating LLMs and Examining Student Outcomes in an Introductory Computer Science Course. 32-41 - Matthew Stephenson, Marissa Bond:
Developing Historical Personas using LLMs - An International AI Competition for Engaging Prospective University Students. 42-44 - Francis Geng, Anshul Shah, Haolin Li, Nawab Mulla, Steven Swanson, Adalbert Gerald Soosai Raj, Daniel Zingaro, Leo Porter:
Exploring Student-AI Interactions in Vibe Coding. 45-54 - Ben Swift:
LLMs Unplugged: Teaching Resources for a ChatGPT World. 55-62 - Tony Haoran Feng, Steffan Hooper, Paul Denny, Burkhard C. Wünsche, Andrew Luxton-Reilly:
Bot or Prof: Comparing the Characteristics of AI-generated and Instructor-written Responses to Student Queries in an Introductory Programming Course Forum. 63-72 - Annabelle Du, Alex Kornblum, Zachary D. King, Risa B. Myers:
Evaluating Handwritten Cheat Sheets for Weekly Quizzes. 73-75 - Dip Kiran Pradhan Newar, Peter Fowles, Seth Poulsen:
How do Students Select an Algorithm Design Technique? 76-84 - Paul Denny, Kaitlin Riegel, Andrew Luxton-Reilly, Juho Leinonen, James Prather, Stephen MacNeil:
Enabling Postgraduate Projects in Computing Education through Synthetic Research Data Generation. 85-94 - Charlotte Pierce, Andrew Cain, Lashi Bandara, Nicolas Pallant:
Designing and Validating Multiple Assessment Options with Equivalent Difficulty for Introductory Programming. 95-101 - Victor Qiu, Liam Parker, Kaitlin Riegel, Nasser Giacaman, Paul Denny, Stephen MacNeil, James Prather:
One Line at a Time: Scaffolding Reflective Code Evaluation through Structured AI Assistance. 102-111 - Julien Ugon, Charlotte Pierce, Andrew Cain, Brianna Laird:
"You're not learning": A layered formative intervention to turn AI misuse into a learning opportunity. 112-118 - Md. Masbaul Alam Polash, Hisham Akhtar:
Warm-Up Assignment as Scaffolding for First-Year Programming Students. 119-120 - Nicole Ronald, Charlotte Pierce:
Exploring the student perspective on changing from portfolio to traditional assessment in final year software engineering. 121-122 - Henry Hickman, Tim Bell:
The Impact of Randomised Questions on Student Outcomes in Introductory Programming Assessment. 123-130 - Laura Tubino, Nayyar Zaidi:
One Credential, Many Journeys: Persona-Aligned Assessment for Postgraduate Microcredentials in Emerging Technologies. 131-137 - Kay Tang, Hoanh Nguyen Hosea Tong-Ho, Kaitlin Riegel, Paul Denny, Nasser Giacaman, Juho Leinonen:
Ambiguity by Design: Practicing Requirement Clarification through Natural-Language Dialogue with LLMs. 138-147 - Sriharsha Kavuri, Danae Delgado-Diaz, Kristhian Ortiz, Alex Chao, Ismael Villegas Molina, Benjamin Ochoa, Leo Porter:
Further Study of Leveraging LLM Tutoring Systems for Non-Native English Speakers in Introductory Computer Science. 148-157 - Raina Mason, Carolyn Seton, Alexander Hendry:
Sense of Belonging, Trust and Anxiety in STEM in a regional Australian University. 158-167 - Md. Masbaul Alam Polash, Xi Wu, Caleb The-Tjoean, David Lowe:
Bridging the Feedback Loop: A Digital Tool for Enhancing Communication Between Course Coordinators and Tutors. 168-169 - Annika Vielsack, Martina Landman, Tobias Kohn:
Jumpy - Reinforce Learning about Reinforcement Learning from an AI's Point of View. 170-178 - Logan James Nilson, Asma Shakil, Shyamli Sindhwani, Anna A. Trofimova:
Exploring LLMs for Assessing Student Contributions in Group Software Development. 179-181 - Viraj Kumar, Paul Denny, Juho Leinonen, James Prather, Stephen MacNeil:
Unraveling Ambiguities: Analyzing Student Approaches to Solving Probeable Problems. 182-191 - Muqing Guo, Winn Chow, Arzoo Atiq, Joshua Burridge, Sally Male:
Reduce or Re-direct? Rethinking Critical Thinking in the Age of AI. 192-193 - Annika Vielsack, Martina Landman:
Finding the Right Balance: Facilitating the Exploration of Sorting Strategies using 3D-Printable Weights and Scales. 194-198
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