Integrative Language Acquisition and Learning Model (ILALM): A Transformative Framework for Post-Pandemic Language Education

The rapid shift to digital learning brought on by the COVID-19 pandemic has underscored the need for a more dynamic and integrated approach to language acquisition and learning. As education systems worldwide continue to adapt, the limitations of traditional language learning models, which often fail to incorporate technological advancements, have become evident. In response to this challenge, this paper introduces the Integrative Language Acquisition and Learning Model (ILALM), a novel framework that blends traditional theories of language acquisition with modern technologies such as artificial intelligence (AI), virtual reality (VR), and gamification. ILALM aims to address the evolving needs of language learners in the post-pandemic landscape by fostering personalized learning, real-time interaction, and cultural integration within a flexible, blended learning environment. Using a qualitative research methodology, including in-depth literature reviews, documents analyses, and published case studies, the study explores how ILALM can enhance engagement and language proficiency while promoting inclusivity and adaptability. The paper concludes by offering actionable recommendations for school administrators, educators, students, and researchers by proposing directions to examine the model’s long-term impact on language acquisition in diverse educational settings.