Application of English Grammar Error Automatic Correction System Based on Deep Learning in Gamification Teaching

The purpose of this study is to explore the application potential of English grammar error automatic correction system based on deep learning in gamification teaching. In this study, we combine deep learning technology and educational game design to provide an innovative method to improve the quality of English learning and learners' participation. This paper constructs an automatic correction system for English grammar errors, which is convenient for users to correct grammar errors and improve English learning efficiency. An English grammar error automatic correction model based on Seq2Seq is proposed, and a series of improvements are made to the Seq2Seq model to improve the training efficiency and error correction ability of the model. The research results show that the system can provide data-driven teaching methods, allowing teachers to better track students' progress, evaluate teaching quality, and formulate personalized education strategies. This innovative method can stimulate students' interest in learning, improve their English grammar skills, and provide useful insights for the future development of educational technology.