Reshaping and Transforming of English Teaching in Higher Education in the ChatGPT Era: An Empirical Study Based on Big Data

Abstract

As artificial intelligence (AI) technology advances, ChatGPT, a cutting-edge natural language processing technique, is increasingly being integrated into various domains, including education. This chatbot, powered by a robust large-scale language model, showcases AI capabilities to the general public. To investigate the impact of ChatGPT on English language education at the tertiary level, this study employs bibliometric analysis and CiteSpace to visually map 844 relevant academic papers from the Web of Science database. Through big data analysis of existing literature, this study synthesizes the research landscape and identifies key trends by examining article quantity, keyword frequency, collaborative patterns among countries, and citation frequency of influential literature. Global scholarly interest in the educational impact of ChatGPT is growing, with diverse research perspectives. The existing literature on the impact of ChatGPT on English language education in higher education is limited. In light of ChatGPT's positive impact on English language proficiency among higher education students, future researchers should explore its implications for advancing English language education from various perspectives. There is an urgent need to discuss the benefits and challenges of using ChatGPT in English language teaching in higher education. Building on current scholarly achievements, future research should focus on enhancing personalized English instruction, intelligent assessment methods, and streamlined knowledge retrieval systems in higher education.

Ähnliche Arbeiten