Investigating Mobile-Assisted Language Learning Apps: Babbel, Memrise, and Duolingo as a Case Study

Abstract

The market for mobile-assisted language learning (MALL) apps has experienced remarkable growth in recent years, with many learners now relying on these apps to learn languages. However, research on the effectiveness of such language learning tools remains scant. In this study, we provide an adapted app evaluation rubric to fill the gap in the literature. We evaluate three selected apps based on the standards of design, content, and pedagogy, aiming to offer teachers and learners tools and tips for selecting effective language learning apps. We employ qualitative content analysis to examine Babbel, Memrise, and Duolingo. We first analyze the selected apps based on direct contact and then evaluate them using an app evaluation tool adapted for this purpose. The findings show that although they target language learners in general and can help in simply learning basic and intermediate language, MALL apps also offer many features that are beneficial for learners, mainly regarding offline functions, app support, learning goals, learning activities, and gamification. Finally, we propose implications of such results and put forward recommendations for future research.