Enhancing ESL Writing through Artificial Intelligence: Improving Linguistic Complexity and Integrated Skill Development

Abstract

In recent years, with the in-depth development of globalization, the importance of English as an international language has become increasingly prominent. However, those who learn English as a second language (ESL), often face challenges such as lack of language complexity and difficulty in improving their language and writing ability simultaneously. To solve this problem, this study focuses on applying artificial intelligence (AI) technology in ESL writing teaching. It discusses its potential to improve learners' language complexity and realize comprehensive ability development. Through a systematic review of existing research, this study analyzes the role of AI tools in ESL writing teaching. The research object is ESL learners, and the research data comes from academic literature in related fields. The theoretical framework includes language complexity definition and interactive feedback theory. The results show that artificial intelligence technology effectively improves learners' syntactic complexity and lexical diversity through personalized feedback and language template support. In addition, the mixed teaching mode combined with teacher guidance can optimize the learning effect and promote the common development of language ability and writing ability. The significance of this study is to provide theoretical support for ESL writing teaching and practical enlightenment for the application of artificial intelligence in the field of education. This achievement not only helps to enhance learners' academic and professional competitiveness but also promotes the innovative development of language teaching.