AI-Driven Language Learning: The Impact of Rosetta Stone on ESL Students’ Speaking Proficiency and Self-Control

Ganesh Dandu^1*  & Gomatam Mohana Charyulu² & KSNVL Lavanya Kumari^{3  
1}Associate Professor, Dept. of BS&H, Vignan’s Institute of Information Technology, Duvvada, Visakhapatnam, AP, India. *Corresponding author. 
²Professor of English, English Division, Dept of S & H, VFSTR Deemed to be University, Vadlamudi, AP, India.
³Research Scholar, Andhra University, Visakhapatnam, India.

^{Rupkatha Journal, Vol. 16, Issue 4, 2024. https://doi.org/10.21659/rupkatha.v16n4.09
Full-Text PDF Issue Access}
Abstract

This research paper investigates the impact of Artificial Intelligence (AI)-based instructions on improving English language speaking abilities and fostering self-learning in real-life environments. In today’s educational landscape, AI-based applications have proven to be transformative tools, igniting learners’ passion and supporting interactive language learning activities. The study was conducted with 120 engineering students learning English as a Second Language (ESL), who were randomly assigned to either an experimental group receiving AI-based instructions or a control group receiving traditional instructions. Pre- and post-tests were administered to evaluate the students’ English-speaking abilities and self-learning skills, utilizing the Rosetta Stone mobile application, which incorporates various speaking activities, focused exercises, pronunciation feedback, and a speech recognition tool. The results indicated that the experimental group showed significant improvements in speaking skill components—accuracy, vocabulary, fluency, and pronunciation—compared to the control group. The findings suggest that AI-based instruction effectively enhances English language speaking skills among ESL students and improves their self-regulatory processes. These results demonstrate the potential of AI technology to enhance language acquisition experiences and promote learners’ self-reliance and cognitive processes in speaking.

Keywords: EFL context, AI-based instructions, Rosetta Stone application, Speaking skills, Self-regularity practices.