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