3 citations · 6 across the 7 of their papers we have counts for
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cs.CL2024★ 2 cited
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…
cs.CY2024
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…