AI-Driven Language Learning: The Impact of Rosetta Stone on ESL Students’ Speaking Proficiency and Self-Control
Year: 2024
Type: article
Study design: Clinical Trial
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.
Authors: Ganesh Dandu, Gomatam Mohana Charyulu, KSNVL Lavanya Kumari
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $150
OpenAlex ID: W4406067564