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- research-articleJanuary 2024
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education
- 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 Kultur,
- Jaromir Savelka,
- Majd Sakr
ACE '24: Proceedings of the 26th Australasian Computing Education ConferencePages 114–123https://doi.org/10.1145/3636243.3636256There is a constant need for educators to develop and maintain effective up-to-date assessments. While there is a growing body of research in computing education on utilizing large language models (LLMs) in generation and engagement with coding ...
- research-articleJanuary 2024
Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant
ACE '24: Proceedings of the 26th Australasian Computing Education ConferencePages 49–57https://doi.org/10.1145/3636243.3636249Providing personalized assistance at scale is a long-standing challenge for computing educators, but a new generation of tools powered by large language models (LLMs) offers immense promise. Such tools can, in theory, provide on-demand help in large ...