ARTIFICIAL INTELLIGENCE AND LANGUAGE ACQUISITION: ENHANCING LISTENING AND SPEAKING PROFICIENCY

Abstract

Technology has permeated various aspects of human activities, including the realm of language education. Over the past decade, the educational process has undergone transformation, shifting towards a more student-centered approach where instructors are seen as facilitators. While Computer Assisted Language Learning (CALL) dominated the scene a few decades ago, recent years have seen the rise of Artificial Intelligence (AI) in language education. This research thus delved into the influence of AI on language learning, focusing particularly on listening and speaking proficiencies. The utilization of Artificial Intelligence proves advantageous in the domain of listening comprehension, enabling the creation of personalized exercises tailored to individual students' requirements and capabilities, as well as the generation of bespoke activities targeting specific weaknesses. Moreover, these resources are easily accessible from any location at any given time, granting students the flexibility to hone their listening skills at their own pace. Nevertheless, the efficacy of AI technology in teaching certain listening abilities, such as identifying sarcasm or irony, which necessitate a profound comprehension of cultural and contextual elements, may be limited. In terms of speaking skills instruction, AI stands out as a valuable tool in delivering instantaneous feedback to learners; however, it is crucial to acknowledge that there are certain aspects of speaking proficiencies where AI's assistance may be less effective. In conclusion, it is evident that AI holds substantial potential as a pedagogical instrument for enhancing language acquisition outcomes, particularly in the realms of listening and speaking skills.