most citedTowards Pedagogical LLMs with Supervised Fine Tuning for Computing Education

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cs.CL2025

Supervised Fine-Tuning LLMs to Behave as Pedagogical Agents in Programming Education

Emily Ross, Yuval Kansal, Jake Renzella +2

Large language models (LLMs) are increasingly being explored in higher education, yet their effectiveness as teaching agents remains underexamined. In this paper, we present the de…

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…