AI-Based Learning vs Traditional Teaching: The Future Of Learning English In The Digital Age

Abstract

The rapid introduction of AI into the education sector has resulted in a major change which has influenced English Language Teaching and Learning significantly. This study compares the effectiveness of AI-driven learning systems to impart English language skills to students with more conventional classroom methods. The article examines how AI-based applications (generative AI applications, adaptive learning platforms, intelligent tutoring systems, speech recognition technologies, and other AI-based tools) can improve language learning, student autonomy, teacher efficacy, and speech recognition technologies and other AI-based applications. In more traditional learning settings, students and teachers sit next to each other and follow the instructions of pre-established course maps. The scholarly publications, books, and reports of various institutions provide secondary data on the study. Studies indicate that learning systems powered by AI prove to be beneficial to students in that they offer a more immediate feedback, simplify the process of accessing educational content, and increase their level of engagement with the subject matter. Such skills as emotional intelligence, ability to pursue systematic academic processes, and the capability to effectively communicate with other people are well ingrained in the minds of the students due to the traditional teaching methods. The research finds that digital inequality, less personal touch, and an over-reliance on technology solutions are the three main problems. To teach English in the new digital age, the authors of the study suggest a mixed learning paradigm that combines AI technology with traditional teaching methods. Since it creates an inclusive classroom whereby all individuals have equal access to learning, the hybrid model helps students develop in their social, technical, and cognitive abilities.