Abstract
Advances in natural language processing have resulted in large language models (LLMs) that can generate code and code explanations. In this paper, we report on our experiences generating multiple code explanation types using LLMs and integrating them into an interactive e-book on web software development. Three different types of explanations - a line-by-line explanation, a list of important concepts, and a high-level summary of the code - were created. Students could view explanations by clicking a button next to code snippets, which showed the explanation and asked about its utility. Our results show that all explanation types were viewed by students and that the majority of students perceived the code explanations as helpful to them. However, student engagement varied by code snippet complexity, explanation type, and code snippet length. Drawing on our experiences, we discuss future directions for integrating explanations generated by LLMs into CS classrooms.
Original language | English |
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Title of host publication | SIGCSE 2023 - Proceedings of the 54th ACM Technical Symposium on Computer Science Education |
Publisher | ACM |
Pages | 931-937 |
Number of pages | 7 |
ISBN (Electronic) | 978-1-4503-9431-4 |
DOIs | |
Publication status | Published - 2 Mar 2023 |
MoE publication type | A4 Conference publication |
Event | ACM Technical Symposium on Computer Science Education - Toronto, Canada Duration: 15 Mar 2023 → 18 Mar 2023 Conference number: 54 |
Conference
Conference | ACM Technical Symposium on Computer Science Education |
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Abbreviated title | SIGCSE |
Country/Territory | Canada |
City | Toronto |
Period | 15/03/2023 → 18/03/2023 |
Keywords
- computer science education
- explanations
- large language models