Artificial Intelligence and Machine Learning in English Education: Cultivating Global Citizenship in a Multilingual World

Abstract

: This paper discusses the concept of artificial intelligence (AI) and machine learning (ML) integration in English language education as the means of promoting global citizenship competencies in multilingual settings. With English continuing to be a lingua franca, the integration of AI-powered education tools with modern-day pedagogy brings about unprecedented opportunities and significant challenges to the development of the intercultural awareness, critical thinking, and ethical interaction between students around the globe. The study explores the potential of AI/ML (adaptive learning systems, intelligent tutoring systems, natural language processing tools, and automated assessment platforms) to achieve global citizenship values by strategically using the applications in support of linguistic and cultural diversity. By using a mixed-method approach, which involves the quantitative analysis of learning outcomes and the qualitative analysis of the experience of learning English by using AI-based programs, the study will examine the effectiveness, accessibility, and equity consequences of AI-enhanced English education programs in three countries and 12 learning institutions. Results show that intelligently used AI/ML technologies can be of great benefit to individualized learning paths, cross-cultural communication, and inclusive pedagogy, and at the same time, they provoke the critical concern of digital equity, algorithmic discrimination, data security, and language diversity maintenance. The paper ends with evidence-supported suggestions to the education community, policymakers, and technology creators to guarantee that the adoption of AI/ML will progress instead of downplay the aim of global citizenship education.