Practice of Large Language Models in Educational Informatization

© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )

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Abstract

Under the wave of the artificial intelligence era, educational informatization has become a crucial direction for educational reform in higher vocational colleges. However, some schools still adopt traditional teaching models, where teachers deliver lectures in class and students engage in learning activities according to uniform arrangements and requirements. While this facilitates teaching management, it fails to effectively stimulate the vitality of teachers and students, posing a disadvantage to long-term teaching practice. Therefore, it is imperative to actively overcome practical challenges and promote teaching transformation and upgrading. Against this backdrop, this paper analyzes the application directions of large language models (LLMs) in educational informatization, explores specific implementation paths through experiments, and discusses practical reflections. The goal is to optimize the practical application of LLMs by creating efficient teaching chains, improving teaching feedback, and enhancing information literacy, thereby endowing higher education with informatization and intelligence features and promoting transformative upgrades in the education sector.

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