3 citations · 5 across the 3 of their papers we have counts for
3 papers
Towards Pedagogical LLMs with Supervised Fine Tuning for Computing Education
Alexandra Vassar, Jake Renzella, Emily Ross +1
This paper investigates supervised fine-tuning of large language models (LLMs) to improve their pedagogical alignment in computing education, addressing concerns that LLMs may hind…
Scaling CS1 Support with Compiler-Integrated Conversational AI
Jake Renzella, Alexandra Vassar, Lorenzo Lee Solano +1
This paper introduces DCC Sidekick, a web-based conversational AI tool that enhances an existing LLM-powered C/C++ compiler by generating educational programming error explanations…
Dcc --help: Generating Context-Aware Compiler Error Explanations with Large Language Models
Andrew Taylor, Alexandra Vassar, Jake Renzella +1
In the challenging field of introductory programming, high enrollments and failure rates drive us to explore tools and systems to enhance student outcomes, especially automated too…