Charting AI Integration in English Education: A Bibliometric Analysis of Emerging Trends, Ethical Dilemmas, and Theoretical Transformations

Authors
Zhou Bo 1
Lim Seong Pek 1
Li Jian 1
Fatin Syamilah Che Yob 1
Henry E. Lemana II 2
M. Zaini Miftah 3
1 INTI International University
2 Walailak University
3 Institut Agama Islam Negeri Palangka Raya
10.48311/lrr.2025.7281
Abstract
his study conducts a bibliometric analysis of Artificial Intelligence (AI) in English education, employing co-citation and co-occurrence analyses to investigate significant research trends, theoretical frameworks, and interdisciplinary connections. The analysis delineates four primary research clusters: AI-assisted language acquisition, ChatGPT in educational methodologies, AI chatbots for English as a Foreign Language (EFL) students, and AI-facilitated student engagement. The co-citation analysis identifies pivotal studies that influence the intellectual framework of the field, whereas the co-occurrence analysis underscores thematic trends and research deficiencies. This study enhances the Technology Acceptance Model (TAM) by integrating pedagogical and ethical aspects, illustrating the interaction between perceived ease of use, usefulness, policy frameworks, teacher readiness, and AI implementation in education. Notwithstanding AI’s transformative potential, challenges persist, encompassing data privacy issues, algorithmic bias, ethical dilemmas, and the necessity for interdisciplinary collaboration. To connect AI with sustainable and equitable education, future research has to investigate the long-term adoption of AI, geographic disparities, and strategies for effective pedagogical integration. This study presents a framework for the ethical, effective, and interdisciplinary integration of AI in English education by promoting collaboration among educators, AI researchers, and policymakers.
Keywords
artificial intelligence
bibliometric analysis
English education
ethics
technology acceptance model
Subjects
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