Speaker
Description
Abstract
This study investigates user experiences with two prominent mobile language learning applications, ELSA Speak and Busuu, through analysis of 624 user reviews from the Google Play Store collected between January 2024 and February 2025. Employing Natural Language Processing techniques including sentiment analysis and thematic analysis, the research examines user perceptions, satisfaction patterns, and key themes in user feedback. Findings reveal predominantly neutral sentiment for both platforms, with Busuu demonstrating marginally higher positive polarity (0.12) compared to ELSA Speak (0.09). Thematic analysis identifies distinct user priorities: ELSA Speak users emphasize pronunciation accuracy and AI feedback quality, while Busuu users focus on comprehensive course structure and community features. The study contributes to understanding how Mobile Assisted Language Learning platforms can better align with user expectations through enhanced AI integration, balanced pricing strategies, and improved technical stability. Results offer practical implications for developers seeking to optimize user experience in language learning applications.
Keywords: Mobile Assisted Language Learning, Computer Assisted Pronunciation Training, Sentiment Analysis, Thematic Analysis, User Experience, AI Integration