Integrating Generative AI into Technology-Mediated Task-Based Language Teaching (TMTBLT) for Enhancing English Language Learning in Pakistan

Abstract

Pakistani undergraduate students face difficulties shifting from traditional methods of English Language Teaching (ELT) towards experiential approaches which could prepare them better for professional contexts. This study explores the integration of Generative Artificial Intelligence (GenAI) tools into Technology-Mediated Task-Based Language Teaching (TMTBLT) for English Language Teaching (ELT) at this level. It uses a mixed-methods approach to examine the impact of these tools on learners’ communicative competence, speaking confidence, and motivation. Results indicate that AI-powered TMTBLT fosters significant improvements in language skills, and particularly benefits students from socio-economically disadvantaged backgrounds. However, limited technological access and digital literacy appear to be the major barriers in realizing its full potential. The study recommends systemic reforms for bridging equity gaps, enhancing real-world communication skills, and preparing learners for global challenges.