Novices performed better and reported lower workload with GitHub Copilot than with human partners, but human partners produced more positive emotions and a smaller drop in retest performance after one week.
Computing education in the era of generative AI
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
Among novice programmers using AI code generators, trust did not predict compliance with suggestions, while performance correlated with both compliance and increased subsequent trust.
User study reveals nine LLM failure categories in SE tasks and quantifies abandonment factors from 26 participants.
GenAI produced larger self-efficacy gains but noticeably lower learning outcomes than live tutoring, with visualizations underused and GenAI facing barriers on advanced topics.
Viva conducts voice-based oral exams and grades transcripts with a multi-LLM panel; tested on two small NYU cohorts at under $1 per exam while surfacing five implementation patterns from observed failures.
citing papers explorer
-
"Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering
User study reveals nine LLM failure categories in SE tasks and quantifies abandonment factors from 26 participants.