Integrating Artificial Intelligence and Multimodality in Language Education: A Systematic Review of Emerging Trends and Practices

Abstract

This systematic review brings together a wide range of studies that focused on using AI supported multimodal tools in modern language learning. Based on well-known theories such as MMLA, Multiliteracies, and SCT, the review examines how ChatGPT, Alexa, Google Assistant, and similar Smart Assistants are changing how people learn languages. For strong methodology, we chose and analyzed 36 peer-reviewed empirical studies that were published in the period from 2019 to early 2025 following the PRISMA protocols. It was found that AI-enhanced learning supports personalized feedback, different types of interactions, more involvement from learners, and makes learning more accessible. At the same time, the literature points out significant issues, such as problems with technological integration, the ethics of using data, and differences in who can use AI. This review suggests the importance of inclusive education for all students, checking for lasting results, and using ethical AI in education.