llm-education
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- PaperarXiv — AI in Education (cs.CY)8 Jul 2026
VectorizationLLM: Smart Vectorization Based AI Assistant
Ryan Duke
A specialized LLM called VectorizationLLM was developed using Google open-weight models to help engineering students learn vectorization, Fourier analysis, and differential equations in MATLAB. It serves as an instructive assistant that provides explanations and examples without giving direct answers, using a RAG knowledge base and system prompts. The model is applied in a specific electrical engineering course at NYIT.
Original abstract
VectorizationLLM is a specialized Large Language Model based on Google open-weight LLMs. The model is designed to assist students to learn smart vectorization, time/wave vector analysis, piecewise functions, Fourier analysis, and differential equations in MATLAB. The course application is CTEC 247: Applied Computational Analysis II by the Department of Electrical & Computer Engineering Technology at New York Institute of Technology Old Westbury. The LLM model is designed to be an instructive assistant, providing detailed explanations of concepts with examples from in-class notes without providing direct answers to questions. The model is designed with a RAG (Retrieval Augmented Generation) knowledge base and system prompt architecture. Examples in both code, text, and images are provided in the LLM responses.