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Redefining Traditional Pedagogy: The Integration of Machine Learning in the Contemporary Language Education Classroom
Abstract
The digital transformation of education, accelerated by unforeseen global events like the COVID-19 pandemic, has ushered in a new era in pedagogy, including in language instruction. While the shift to online platforms has been swift, the evolution of content from static digital forms to dynamic, interactive experiences driven by artificial intelligence (AI) is still emerging. This chapter explores the transformative potential of machine learning (ML) in redefining traditional language learning materials into adaptive, responsive, and personalised educational experiences. The chapter outlines theoretical applications and presents a prototype app, “TalkToMe,” designed to boost speaking practice in the target language. Additionally, it addresses ethical concerns surrounding ML integration in education, ensuring the preservation of academic integrity. This chapter aims to bridge the gap between traditional methodologies and cutting-edge technology, offering a roadmap for the future of language instruction through collaboration between pedagogy and technology.
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