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ORCID26th ACE 2024: Sydney, NSW, Australia
- Nicole Herbert, Carolyn Seton:
Proceedings of the 26th Australasian Computing Education Conference, ACE 2024, Sydney, NSW, Australia, 29 January 2024- 2 February 2024. ACM 2024 - Ewan D. Tempero
, Yu-Cheng Tu:
Using Program Comprehension Models to Teach Comprehensibility. 1-10 - Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim:
Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models. 11-18 - Nicole Herbert:
Infusing Indigenous Perspectives into ICT Curriculum. 19-28 - Irene Hou, Owen Man, Sophia Mettille, Sebastian Gutierrez, Kenneth Angelikas, Stephen MacNeil:
More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems. 29-38 - Irene Hou, Sophia Mettille, Owen Man, Zhuo Li, Cynthia Zastudil, Stephen MacNeil:
The Effects of Generative AI on Computing Students' Help-Seeking Preferences. 39-48 - Brad Sheese, Mark H. Liffiton, Jaromír Savelka, Paul Denny:
Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant. 49-57 - Diana Kirk, Andrew Luxton-Reilly, Ewan D. Tempero, Tyne Crow, Paul Denny, Allan Fowler, Steffan Hooper, Andrew Meads, Asma Shakil, Paramvir Singh, Craig J. Sutherland, Yi-Chien Vita Tsai, Burkhard Wuensche:
Educator Experiences of Low Overhead Student Project Risk Management. 58-67 - Nicole Herbert, David Herbert, Tony Gray:
Navigating the IT Skills Gap: Cultivating Job-Ready Graduates. 68-76 - Breanna Jury, Angela Lorusso, Juho Leinonen, Paul Denny, Andrew Luxton-Reilly:
Evaluating LLM-generated Worked Examples in an Introductory Programming Course. 77-86 - Jaxton Winder, Elise Francis, Bridget Staley, John Edwards:
Incremental Development and CS1 Student Outcomes And Behaviors. 87-93 - Asanthika Imbulpitiya, Jacqueline Whalley, Mali Senapathi:
A Qualitative Study of Novice Experiences with Database Normalisation. 94-103 - Svana Esche:
Testing Programming Aptitude through Commonsense Computing. 104-113 - Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kültür, Jaromír Savelka, Majd Sakr:
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. 114-123 - Ritvik Budhiraja, Ishika Joshi, Jagat Sesh Challa, Harshal D. Akolekar, Dhruv Kumar:
"\"It's not like Jarvis✱. 124-133 - Diana Kirk, Andrew Luxton-Reilly, Ewan D. Tempero:
A Literature-Informed Model for Code Style Principles to Support Teachers of Text-Based Programming. 134-143 - Lianne Roest, Hieke Keuning, Johan Jeuring:
Next-Step Hint Generation for Introductory Programming Using Large Language Models. 144-153 - Alven C. Y. Leung, Zoey Ziyi Li, Dennis Y. W. Liu, Richard W. C. Lui, Daniel Xiapu Luo, Siu Wo Tarloff Im:
Transfer of Learning from Metaverse to Blockchain for Secondary Students: Implementation and Effectiveness Evaluation. 154-163 - André van Renssen:
Designing Problem Sessions for Algorithmic Subjects to Boost Student Confidence. 164-171 - David Liu, Jonathan Calver, Michelle Craig:
A Static Analysis Tool in CS1: Student Usage and Perceptions of PythonTA. 172-181 - Tony Haoran Feng, Paul Denny, Burkhard Wuensche, Andrew Luxton-Reilly, Steffan Hooper:
More Than Meets the AI: Evaluating the performance of GPT-4 on Computer Graphics assessment questions. 182-191 - Géraldine Brieven, Valentin Baum, Benoit Donnet:
Tartare: Automatic Generation of C Pointer Statements and Feedback. 192-201
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