A Keyword Network Analysis of Expectations and Concerns Regarding AI-Based Digital English Textbooks (AIDT)

Objectives This study conducted a detailed analysis of both the expectations and concerns regarding the impact of AI-based English textbooks (AIDT), introduced in March 2025, on English education. The analysis was carried out through text mining and keyword frequency analysis of domestic and international academic papers as well as domestic web news articles published between 2014 and 2024, followed by a language network analysis. Methods By utilizing text mining and language network analysis, this study identified key keywords related to the introduction of AI-based English textbooks and examined their network relationships. To analyze prevalent trends, a total of 163 domestic papers, 210 international papers, and 20,981 domestic web news articles were collected and analyzed using the TEXTOM and Netminer 4.5 programs. Results As a result of the language network analysis, the major keywords identified included ‘learning’, ‘teachers’, ‘data’, ‘ethical issues’, and ‘cost’. Domestic studies argued that AI-based English learning can offer personalized learning experiences and enhance learners’ achievement, thus contributing to changes in the teacher's role and improvements in the educational environment. However, concerns were raised about ethical issues such as the teacher's passive role due to overreliance on AI, data privacy, and potential bias. International studies anticipated that AI would enhance the objectivity and efficiency of learning assessments, though they emphasized the need to strengthen teachers' competencies and address ethical concerns. In the analysis of domestic web news, there was optimism about improved learning efficiency and personalized education through AI-based English education, but economic burdens and concerns about the integration of such tools in public education were also highlighted. Conclusions By comprehensively presenting both expectations and concerns based on prior domestic and international research and domestic web news analysis, this study aims to provide a new direction for future research and effective implementation of English AIDT.