72 citations · 85 across the 3 of their papers we have counts for
3 papers
Efficient Classification of Student Help Requests in Programming Courses Using Large Language Models
Jaromir Savelka, Paul Denny, Mark Liffiton +1
The accurate classification of student help requests with respect to the type of help being sought can enable the tailoring of effective responses. Automatically classifying such r…
Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant
Brad Sheese, Mark Liffiton, Jaromir Savelka +1
Providing 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 immens…
CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes
Mark Liffiton, Brad Sheese, Jaromir Savelka +1
Computing educators face significant challenges in providing timely support to students, especially in large class settings. Large language models (LLMs) have emerged recently and…