I am a junior majoring in Computer Science at UC Irvine and a third-year research assistant. My work focuses on applying artificial intelligence in education — improving automated grading, feedback systems, and learning analytics. I am passionate about building AI systems that make education more accessible, fair, and effective, and I aim to work at the intersection of artificial intelligence, learning science, and data-driven educational tools.
Vedant Khatri
Computer Science, University of California, Irvine
Researching AI in education — automated grading, feedback systems, and learning analytics.
khatriv1@uci.edu · GitHub · LinkedIn · Irvine, CA
About
Publications
Peer-reviewed conference proceedings
Xu, Z., Khatri, V., Dai, Y., Liu, X., Li, S., Zhang, X., & Yu, R. (2026). Enhancing LLM-Based Data Annotation with Error Decomposition. In Proceedings of LAK '26: 16th International Learning Analytics and Knowledge Conference (pp. 325–335). Best Paper Nominee. doi:10.1145/3785022.3785070
Peer-reviewed journal articles
Khatri, V., Sinha, A., & Kumari, R. (2022). A study of the impact of e-learning on the health of school going adolescents in Bareilly city: A cross-sectional study. Indian Journal of Forensic and Community Medicine, 9(3), 112–116.
Sinha, A., Khatri, V., & Nath, B. (2022). Relevance of health education to e-learning-associated problems among the school-going adolescents in Bareilly city: An interventional study. Journal of Family Medicine and Primary Care, 11, 6863–6868.
Under review
Khatri, V., et al. (2026). Multi-Agent Essay Scoring through Toulmin Debate using Large Language Models. Manuscript under review at the International Conference on Quantitative Ethnography (ICQE).
In preparation
Large Language Models for Educational Data Annotation at Scale. Manuscript in preparation for submission to AERA Open.
Research
Data Science Research Assistant
Research on language models for educational data annotation, resulting in a paper accepted to LAK 2026 and nominated for the Best Paper Award. Helped develop a framework separating task-inherent ambiguity from model-based annotation error for evaluating LLM performance.
Research Assistant
Research on AI-supported clinical reasoning and educational technologies.
Research Assistant
Development of an LLM-based medical tutoring system, including the adaptive questionnaire component supporting personalized tutoring interactions.
Undergraduate Research Fellow
Competitive Undergraduate Research Opportunities Program (UROP) fellowship; presented research findings at the UROP Symposium 2024.
Research Assistant
Cross-sectional and interventional studies examining adolescent health; data collection and statistical analysis.
Teaching
Course Manager & Undergraduate Teaching Assistant
Help run one of UC Irvine's largest computer science courses, serving roughly 300–400 students each term: training and coordinating undergraduate teaching assistants, overseeing grading and day-to-day course operations, and building scripts that automate grading, exam credential generation, and retake ticket management.
Grader
Graded programming assignments, projects, and examinations; held office hours providing programming support.
Learning Assistant
Supported instruction and lab sessions across courses covering Python through C++; facilitated weekly office hours with one-on-one debugging help and live code-alongs.
Service & Leadership
Co-author of paper accepted to the 16th International Learning Analytics and Knowledge Conference.
Conference volunteer, assisting with conference operations and attendee support.
Liaised with and advocated for international students, addressing concerns and organizing transition support events.
Head Boy (2022–2023) and House Captain (2020–2022), leading career fairs, cultural events, mentorship programs, and academic workshops for 800+ participants.
Skills
Python, C++, SQL · Pandas, NumPy, scikit-learn, TensorFlow, Keras · Flask · Git/GitHub, Jupyter, OpenCV, Linux, Bash
Education
B.S. Computer Science, University of California, Irvine — expected 2027. Dean's Honor List.