An Interactive Video Learning Framework Enhanced by Large Language Models

Abstract

As artificial intelligence (AI) reshapes educational paradigms, the integration of Large Language Models (LLMs) into higher education is pivotal for the evolution of online learning. This research details the development of an intelligent video learning platform designed to address this evolution. The platform seamlessly integrates advanced LLM capabilities to augment traditional video instruction. Key functional modules include: (1) LLM-driven video summarization for efficient content review, (2) automatic multilingual subtitle generation to improve accessibility, and (3) an interactive question-answering (Q&A) system for real-time learning support. Through its architectural design and technical implementation, this work serves as a case study, demonstrating how LLMs can be strategically deployed to create highly adaptive and intelligent learning environments, thereby offering a robust technological solution for the future of online higher education.