This study explores the integration of a large language model as an instructional tool for teaching the present simple tense, focusing on how such technology can promote learner autonomy. The research outlines a model lesson framework where students engage interactively with the language model to practice grammar, receive immediate context-sensitive feedback, and independently explore language structures. It situates this approach within a broader theoretical context of learner autonomy, emphasizing the potential of artificial intelligence tools to support self-directed learning and enhance metacognitive strategies in language acquisition.
The findings suggest that the use of the language model can significantly boost student confidence and competence in employing the present simple tense. Data from classroom observations, learner feedback, and performance assessments indicate that the interactive nature of the model creates a supportive learning environment, enabling students to address individual learning needs more effectively. The study concludes by discussing the practical implications of incorporating AI-driven tools into language teaching, highlighting their potential to transform traditional instructional methods and foster greater independence among learners.