An AI-Supported Global Competence Framework for English Literacy: Integrating Language Use, Contextual Adaptation, and Intelligent Support

Abstract

The growing integration of artificial intelligence (AI) into language learning has redefined the nature of English literacy, particularly in the context of global competence. While existing research has explored AI-supported learning in terms of performance and processes, limited attention has been given to how AI reshapes the overall structure of language competence required in global communication. Addressing this gap, this study proposes an AI-supported global competence framework for English literacy, conceptualizing competence as the integration of language use, contextual adaptation, and intelligent support. Within this framework, English literacy is understood not merely as linguistic proficiency but as the ability to deploy language effectively across dynamic and culturally diverse contexts. AI is positioned as both an enabling and shaping force that supports communication, guides adaptation, and mediates interaction. By integrating insights from applied linguistics, global competence theory, and AI-supported learning, the study offers a structured model that captures the evolving nature of language competence in technologically mediated environments. The proposed framework provides a theoretical foundation for future research and offers implications for designing language education systems that prepare learners for global communication in the age of artificial intelligence.