Research on the construction and application of intelligent tutoring system for english teaching based on generative pre-training model

作者：Weiguo Feng, Xinhan Lai, Xin Zhang, Xiaojing Fan, Yi Du · 发表于：Systems and Soft Computing · 年份：2025 · DOI：10.1016/j.sasc.2025.200232 · 被引用次数：10 · 研究领域：Educational Technology and Pedagogy、Advanced Technologies in Various Fields、Ideological and Political Education

In the era of globalization and information technology, English is becoming more and more important as the main language of international communication, but the traditional English teaching model is difficult to meet the diverse needs of learners due to the uneven distribution of resources and the lack of personalized tutoring. In order to meet these challenges, this study uses a generative pre-training model to build an intelligent tutoring system for English teaching, aiming to innovate the English learning experience with the help of artificial intelligence technology and achieve personalized and efficient teaching guidance. The construction solution includes collecting data such as learners' English proficiency test scores, learning history, and self-reported learning preferences to create detailed learner profiles, integrating advanced generative pre-trained models such as GPT-based and fine-tuning with data related to English language teaching, and then automatically generating exercises based on learner profiles and dynamically adjusting the difficulty. The application of the system is reflected in the integration of natural language processing technology and generative models to provide immediate feedback after learners complete the exercises, such as analyzing the grammar, vocabulary use and coherence of English passages and pointing out mistakes, giving suggestions and explanations for corrections, as well as providing intelligent tutoring in the form of dialogues, ...