ENHANCING LISTENING COMPREHENSION THROUGH AI-BASED MULTIMEDIA TOOLS

Abstract

This study explores the effectiveness of AI-based multimedia tools in enhancing listening comprehension among learners of English as a Foreign Language (EFL). In the context of rapid technological advancement, artificial intelligence has increasingly been integrated into educational environments, transforming traditional language learning into a more adaptive, interactive, and learner-centered process. Unlike conventional approaches, AI-powered tools offer personalized learning pathways, immediate feedback, and exposure to authentic audio-visual materials, which are essential for developing listening skills. The research employs a quasi-experimental design involving two groups of university students: an experimental group that engaged with AI-driven multimedia platforms and a control group that received traditional instruction based on textbooks and teacher-led activities. Over the course of the study, participants in the experimental group interacted with a variety of digital resources, including speech recognition systems, interactive videos, and adaptive listening tasks designed to match their proficiency levels. The findings indicate that learners who utilized AI-based multimedia tools demonstrated significantly improved listening comprehension, particularly in understanding natural speech, identifying key information, and adapting to different accents and speaking speeds. Moreover, these learners reported higher levels of motivation, confidence, and engagement compared to their peers in the control group. The results also suggest that the multimodal nature of AI tools—combining visual, auditory, and interactive elements—contributes to deeper cognitive processing and more effective retention of information.

Keywords

Listening comprehension, artificial intelligence, multimedia tools, EFL learners, adaptive learning, digital education.