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Main Authors: Bochard, Madison, Conser, Tim, Duran, Alyssa, Martull, Lazaro, Tian, Pu, Wu, Yalong
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2601.02375
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author Bochard, Madison
Conser, Tim
Duran, Alyssa
Martull, Lazaro
Tian, Pu
Wu, Yalong
author_facet Bochard, Madison
Conser, Tim
Duran, Alyssa
Martull, Lazaro
Tian, Pu
Wu, Yalong
contents High enrollment in STEM-related degree programs has created increasing demand for scalable tutoring support, as universities experience a shortage of qualified instructors and teaching assistants (TAs). To address this challenge, LeafTutor, an AI tutoring agent powered by large language models (LLMs), was developed to provide step-by-step guidance for students. LeafTutor was evaluated through real programming assignments. The results indicate that the system can deliver step-by-step programming guidance comparable to human tutors. This work demonstrates the potential of LLM-driven tutoring solutions to enhance and personalize learning in STEM education. If any reader is interested in collaboration with our team to improve or test LeafTutor, please contact Pu Tian (pu.tian@stockton.edu) or Yalong Wu (wuy@uhcl.edu).
format Preprint
id arxiv_https___arxiv_org_abs_2601_02375
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle LeafTutor: An AI Agent for Programming Assignment Tutoring
Bochard, Madison
Conser, Tim
Duran, Alyssa
Martull, Lazaro
Tian, Pu
Wu, Yalong
Computers and Society
Artificial Intelligence
Software Engineering
High enrollment in STEM-related degree programs has created increasing demand for scalable tutoring support, as universities experience a shortage of qualified instructors and teaching assistants (TAs). To address this challenge, LeafTutor, an AI tutoring agent powered by large language models (LLMs), was developed to provide step-by-step guidance for students. LeafTutor was evaluated through real programming assignments. The results indicate that the system can deliver step-by-step programming guidance comparable to human tutors. This work demonstrates the potential of LLM-driven tutoring solutions to enhance and personalize learning in STEM education. If any reader is interested in collaboration with our team to improve or test LeafTutor, please contact Pu Tian (pu.tian@stockton.edu) or Yalong Wu (wuy@uhcl.edu).
title LeafTutor: An AI Agent for Programming Assignment Tutoring
topic Computers and Society
Artificial Intelligence
Software Engineering
url https://arxiv.org/abs/2601.02375