AI Innovation in Language Learning: From Theoretical Foundations to Practical Use



Authors (s)


(1) * Mirza Aulia Al-Furqany   (Universitas Islam Negeri Maulana Malik Ibrahim)  
        Indonesia
(2)  Rasheedat Modupe Oladimeji   (Al-Hikmah University Ilorin)  
        Indonesia
(*) Corresponding Author

Abstract


This study discusses the innovation of artificial intelligence (AI) in language learning, highlighting theoretical aspects and its application in educational settings. This study uses a descriptive qualitative approach by reviewing various literature sources and analyzing the implementation of AI technology in language learning. The results of the study indicate that AI plays a significant role in increasing learning efficiency through personalization of materials, automatic analysis of language errors, and chatbot-based interactions and virtual assistants. In addition, AI allows for faster and more adaptive feedback to individual student needs, thus supporting a more effective learning process. However, challenges such as limitations in understanding cultural contexts, lack of emotional interaction, and dependence on available data are still major obstacles in the application of AI in this field. Therefore, the use of AI in language learning needs to be accompanied by appropriate pedagogical strategies in order to provide optimal benefits for learners.

Keywords

artificial intelligence, language learning, technological innovation, chatbots, personalized learning.



Full Text: PDF



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