The Convergence of Artificial Intelligence and Tourism English Education (1996–2025) : A Bibliometric Mapping of Research Trends and Thematic Evolution
This study conducts a longitudinal bibliometric analysis of 325 academic papers on Tourism English education from 1996 to 2025, sourced from the Web of Science Core Collection. Factorial mapping signifies a transition from fundamental pedagogy to advanced technology integration, from Natural Language Processing to Generative AI. Thematic evolution reveals a three-phase process: an initial ESP phase, a pandemic-driven machine learning phase, and an extended ESP phase marked by a shift from collaborative learning to anthropomorphism. This shift redefines learner interaction — from form-focused exercises toward scenario-based, socio-emotionally responsive communication — and reframes the educational goal as cultivating distinctively human competencies that AI cannot replicate. This study proposes a hybrid competency model combining broad pedagogical frameworks with advanced technology in the post-pandemic era.
목차
Abstract 1. Introduction 2. Bibliometric Analysis 3. Material and Methods 4. Results and Discussions 4.1. Thematic Research Network 4.2. Factorial Map 4.3. Thematic Evolution 5. Conclusion References
키워드
관광 영어 교육계량서지학적 분석인공지능생성형 인공지능주제적 진화의인화Tourism English educationBibliometric analysisArtificial Intelligence (AI)Generative AI(GAI)Thematic evolutionAnthropomorphism