Development of an Intelligent Learning Assistance System for Military Curriculum Using Python and Generative AI

This article details the development and workflow of an AI-powered learning assistance system designed for military educational institutions, utilizing NLP and intelligent information retrieval techniques, to analyze PDF documents. The system, built with Python and libraries like Google Generative AI and scikit-learn, facilitates personalized learning and teaching by summarizing content, generating question-and-answer responses, and creating multiple-choice questions with answer keys. Experimental results, particularly with historical content like the Nine Armies’ War, demonstrate the system’s ability to accurately summarize key events and extract strategic military tactics in a structured format, enhancing user comprehension. The system adapts to individual learning needs, promotes interactive learning, and improves learning efficiency compared to traditional methods. While limitations such as technological access disparities and AI training data dependencies exist, the research concludes that integrating AI into learning assistance significantly enhances educational effectiveness. Future work will focus on transforming the system into a practical application for educational assessments, conducting real-world testing in educational and military settings, and expanding its application across various academic disciplines.