Exploring the Value of Diverse LLM Explanations in Introductory Programming
Large Language Models (LLMs) have shown the potential to generate code explanations that surpass those of peers in quality, offering promising opportunities for computer science education. While these explanations may not yet match the depth and clarity of instructor-provided explanations, research in computational creativity highlights that the quantity and diversity of ideas can often outweigh a singular focus on quality. Inspired by this, we explore whether combining multiple diverse explanations, each emphasizing distinct aspects (e.g., function, concept, goal), can enhance students' understanding of programming exercises compared to generic explanations that do not emphasize distinct...
| Authors | Seth Bernstein, Paul Denny, Juho Leinonen et al. |
|---|---|
| Primary category | cs.HC |
| Published | 27 June 2026 |
| Last updated at source | 27 June 2026 |
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