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Publication search results
found 22 matches
- 2024
- Géraldine Brieven, Valentin Baum, Benoit Donnet:
Tartare: Automatic Generation of C Pointer Statements and Feedback. ACE 2024: 192-201 - Ritvik Budhiraja, Ishika Joshi, Jagat Sesh Challa, Harshal D. Akolekar, Dhruv Kumar:
"\"It's not like Jarvis✱. ACE 2024: 124-133 - 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. ACE 2024: 114-123 - Svana Esche:
Testing Programming Aptitude through Commonsense Computing. ACE 2024: 104-113 - 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. ACE 2024: 182-191 - Nicole Herbert, David Herbert, Tony Gray:
Navigating the IT Skills Gap: Cultivating Job-Ready Graduates. ACE 2024: 68-76 - Nicole Herbert:
Infusing Indigenous Perspectives into ICT Curriculum. ACE 2024: 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. ACE 2024: 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. ACE 2024: 39-48 - Asanthika Imbulpitiya, Jacqueline Whalley, Mali Senapathi:
A Qualitative Study of Novice Experiences with Database Normalisation. ACE 2024: 94-103 - Breanna Jury, Angela Lorusso, Juho Leinonen, Paul Denny, Andrew Luxton-Reilly:
Evaluating LLM-generated Worked Examples in an Introductory Programming Course. ACE 2024: 77-86 - Diana Kirk, Andrew Luxton-Reilly, Ewan D. Tempero:
A Literature-Informed Model for Code Style Principles to Support Teachers of Text-Based Programming. ACE 2024: 134-143 - 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. ACE 2024: 58-67 - 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. ACE 2024: 154-163 - David Liu, Jonathan Calver, Michelle Craig:
A Static Analysis Tool in CS1: Student Usage and Perceptions of PythonTA. ACE 2024: 172-181 - 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. ACE 2024: 11-18 - André van Renssen:
Designing Problem Sessions for Algorithmic Subjects to Boost Student Confidence. ACE 2024: 164-171 - Lianne Roest, Hieke Keuning, Johan Jeuring:
Next-Step Hint Generation for Introductory Programming Using Large Language Models. ACE 2024: 144-153 - Brad Sheese, Mark H. Liffiton, Jaromír Savelka, Paul Denny:
Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant. ACE 2024: 49-57 - Ewan D. Tempero, Yu-Cheng Tu:
Using Program Comprehension Models to Teach Comprehensibility. ACE 2024: 1-10 - Jaxton Winder, Elise Francis, Bridget Staley, John Edwards:
Incremental Development and CS1 Student Outcomes And Behaviors. ACE 2024: 87-93 - 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 [contents]
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retrieved on 2024-05-08 09:12 CEST from data curated by the dblp team
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