Generative AI-Enabled English Literacy Development for International Talents: A Pathway Model of Scenario-Based Learning and Reflective Engagement

Abstract

The integration of generative artificial intelligence (AI) into language education has created new opportunities for developing English literacy among international talents. While existing research has primarily focused on learning outcomes and technological effectiveness, limited attention has been given to how AI reshapes the pathways through which language competence is developed and applied. Addressing this gap, this study proposes a pathway model of AI-enabled English literacy development, conceptualizing learning as a process structured by scenario-based engagement, personalization, task-based interaction, and reflective learning. Within this framework, AI-mediated environments provide adaptive and context-rich learning scenarios that support the transformation of linguistic knowledge into communicative competence. The model highlights how personalized input and task-driven activities guide learners through progressive stages of engagement, from comprehension to application and reflection. Importantly, it emphasizes that the effectiveness of AI-supported learning depends not only on technological affordances but also on the design of meaningful learning pathways. By integrating insights from language pedagogy and educational technology, the study offers a structured framework for understanding how AI can support sustainable language development. The proposed model provides implications for the design of AI-enhanced learning environments and contributes to ongoing discussions on the role of technology in developing globally competent language users.