Exploring Student Perspectives on the Multimodal Transformation of Language Learning Through Artificial Intelligence in Indonesia

Abstract

The transformation of language learning in Indonesia is increasingly influenced by artificial intelligence (AI), which offers multimodal approaches and content adaptation to enhance the efficiency and effectiveness of education. This article explores the application of AI in language education, highlighting how this technology enables a more personalized learning experience through the integration of diverse media (text, sound, images, and video), tailored to individual learning styles. The research employs a qualitative approach using semi-structured interviews to explore students' experiences, perceptions, and views on the use of AI in language learning. From the students' perspective, AI accelerates the learning process by providing instant feedback, which helps develop speaking, writing, and vocabulary comprehension skills. This multimodal approach also supports a deeper mastery of cultural contexts. Despite challenges related to infrastructure and cultural barriers, AI holds significant potential to expand access to language education, particularly in remote areas. Students, as direct beneficiaries, experience a significant shift in how they learn languages, with greater opportunities for independent and adaptive learning. The article also discusses the importance of AI-based content adaptation that aligns with learners' specific needs, enhancing the overall educational experience.