EXPLORING THE EFFECTIVENESS OF CHATGPT IN IMPROVING THE SPEAKING SKILLS OF UNIVERSITY STUDENTS

Abstract

The rapid rate of the Artificial Intelligence (AI) between 2020 and 2025 has changed the methods of learning English especially to the non-native speakers who want to improve their communication in the English language. The paper discusses how AI-based apps such as speech-recognition technology, chatbots, and virtual tutors can assist bilingual Urdu-English students to learn in Pakistan by improving their pronunciation, fluency, and overall communicative skills.

The study also uses the qualitative research design and convenience sampling as it examines the interactions of the learners in using AI-assisted speaking activities, evaluating the aspects of integrating the technologies and the traditional teaching strategies. The available literature and studies indicate that AI applications provide individual feedback, enhance motivation, reduce speaking anxiety, and promote practice. All these result in quantifiable positive changes in the speech accuracy and confidence.

Output of the four weeks of instructional program indicates slow yet consistent improvements in vocabulary acquisition, pronunciation, sentence coherence and the interactive communication. Despite these advances, a few issues can be mentioned, including absence of technological infrastructure, insufficient teacher training, technical issues and concerns over cultural suitability.

The research concludes that AI, when applied under teacher-driven guidance and culturally sensitive instruction, can promise a significant amount of potential to enhance the skills of spoken English. The outcomes indicate that in order to take full advantage of AI-based language learning, where resources are limited, we can use the improvement of digital infrastructure, more specific teacher training, and the optimization of the ratio between various teaching strategies.