AI in Language Learning Process

Personalized Pathways for EFL Learners in the Age of AI in Indonesia

Abstract

Abstract: This study explores the integration of Artificial Intelligence (AI) in English as a Foreign Language (EFL) learning, focusing on its potential to create personalized learning pathways for university students in Indonesia. With rapid advancements in AI technology, educational settings increasingly utilize AI-driven tools to enhance language acquisition, yet few studies have examined their effectiveness in Indonesia’s unique cultural context. Using a descriptive qualitative, this research gathered qualitative data from a questionnaire distributed to 200 university students. Findings reveal a generally positive perception of AI’s potential in personalizing EFL learning, with students highlighting AI’s adaptability, real-time feedback, and autonomy support as primary benefits. However, challenges remain, particularly regarding AI’s cultural sensitivity, accuracy in language output, and students' concerns about data privacy. Students emphasized the need for a hybrid model combining AI with human instruction to achieve balanced, culturally relevant learning outcomes. This study concludes that while AI holds promise for personalized EFL education, future implementations should consider the nuanced cultural and linguistic needs of Indonesian learners. The findings provide valuable insights for educators, AI developers, and policymakers seeking to enhance language learning in diverse, multilingual contexts.