Abstract:

This research investigates the broad capabilities of Artificial Intelligence (AI) driven Intelligent Tutoring Systems (ITS) within the context of online language education, with a particular emphasis on their pivotal role in optimizing interactions and enhancing learning outcomes. Driven by adaptive algorithms and machine learning, ITS tailors instructional content to the unique needs of individual learners, thereby fostering dynamic engagement and personalized learning experiences. The integration of Natural Language Processing (NLP) further amplifies the potential of ITS, enabling contextually rich interactions that overcome conventional constraints in language learning.

The study aims to provide some insights into the multifaceted potential of AI-driven ITS in personalized instruction, realistic language practice, and proficiency enhancement. It also discusses some of the challenges of ITS, such as the difficulty of modeling the language learner and the complexity of natural language understanding and generation. The findings contribute to the understanding of the transformative impact of technology on reshaping language education, highlighting the pivotal role played by Intelligent Tutoring Systems in cultivating a dynamic and effective online learning environment.

Keywords:

Online language learning, interactions, learning efficacy, artificial intelligence, intelligent tutoring systems.