Year: 2024
Type: conference-paper
Abstract: The recent widespread popularity of generative AI models has inspired the development of large-language model (LLM) based tools for educational purposes. We explore the impact of LLM-based tools on pair programming for algorithm tracing with the aim of addressing challenges inherent to pair programming. We designed and developed a GPT-4 based tool, TraceCompanion, that acts as students’ pair programming partner for algorithm tracing. We describe insights gained from running a pilot study to investigate students’ interactions with the tool and their initial perceptions.
Authors: Oana Andrei, Zoltan Sojtory
Institution: University of Glasgow
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W4404098427
