AI integration into FL models is transforming the landscape of language pedagogy, offering new avenues to enrich learner learning experiences. Flipped classrooms shift content delivery to pre-class time, freeing up class time to focus on application-based, interactive learning and allowing learners to apply higher-order skills. In language classrooms, where practice and feedback are essential, AI’s adaptive capabilities significantly enhance flipped models. AI technologies, including intelligent tutoring systems, NLP applications, and speech recognition software, enable learners to engage with language content in a personalized, autonomous manner outside of class. Such tools provide instant feedback help learners refine their language skills before classroom activities, fostering a more targeted use of class time.
One of the papers to be presented at the coming Digicompass conference, explores the benefits of combining AI with FL in language teaching, emphasizing how AI-driven customization can address diverse language proficiency levels, facilitate self-paced learning, and improve learner motivation. Moreover, it addresses challenges, such as the ethical implications of data use in AI tools and the necessity of instructor training for technology integration. Overall, AI-enhanced FL is presented as an innovative, learner-centered approach, tailored to meet the evolving needs of diverse learners.