Jeevan Chapagain
Ph.D. in Computer Science | NLP | LLMs in Education | Intelligent Tutoring Systems
Tempe, AZ
Education
Ph.D., Computer ScienceMemphis, TN
University of Memphis2019 – 2026
- Advisor: Dr. Vasile Rus
- Research focus: LLMs and NLP for intelligent tutoring, code comprehension, automated assessment, and educational technologies.
M.S., Computer ScienceMemphis, TN
University of Memphis2023
B.Sc., Computer Science and Information TechnologyNepal
Tribhuvan University
Experience
Postdoctoral ResearcherTempe, AZ
Learning Engineering Institute, Arizona State University2026 – Present
- Mentor: Dr. Danielle McNamara
Graduate Research AssistantMemphis, TN
University of Memphis, Department of Computer Science2019 – 2026
- Self-explanation & code comprehension: Developed annotated corpus to assess line-by-line student explanations during source code comprehension.
- LLMs in education: Studied LLM-generated explanations in the Context of Conversational Program Comprehension Tutoring Systems.
- Automated Assessment: Fine-tuned Transformers and LLMs for automatically assessing students response during source code comprehension.
Selected publications
Full list: Publications · Google Scholar
Automated assessment of student self-explanation in code comprehension using pre-trained language models2025
J. Chapagain, V. Rus · AAAI
SelfCode 2.0: An annotated corpus of student and expert line-by-line explanations of code for automated assessment2025
J. Chapagain et al. · Dataset / Corpus paper
Generative AI for named entity recognition in low-resource language Nepali2025
S. Neupane, J. Chapagain, N. B. Niraula, D. Koirala · arXiv:2503.09822
A study of LLM generated line-by-line explanations in the context of conversational program comprehension tutoring systems2024
J. Chapagain, M. I. Sajib, R. Prodan, V. Rus · EC-TEL (Springer)