MASTERING AUTONOMOUS LANGUAGE LEARNING AND ASSIGNMENT CHECKING WITH AI

Abstract

The integration of artificial intelligence (AI) into language learning has significantly transformed how learners achieve autonomy and approach assignment evaluation. AI tools, such as Grammarly, Duolingo, ChatGPT, and Turnitin, offer real-time feedback, adaptive learning pathways, and efficient evaluation mechanisms, reshaping traditional educational methods. This study examines the multifaceted role of AI in fostering independence, enhancing personalized learning, and improving assignment checking processes. While AI promotes autonomy and provides flexible, tailored support, challenges remain, including over-reliance, limitations in contextual understanding, and difficulties in fostering critical thinking. The paper emphasizes the importance of a balanced approach, integrating AI as a supplement to traditional methods to ensure comprehensive language development. Additionally, it highlights the need for advancements in AI’s ability to address cultural and contextual nuances, enhancing its effectiveness in language education. By leveraging AI thoughtfully, learners and educators can maximize its potential, creating a more adaptive and efficient learning environment while addressing its limitations. This study offers insights into the future of AI in education, advocating for its strategic integration to empower both independent learners and traditional teaching practices.