Exploring Moderators of Mobile-Assisted Language Learning Effect on Self-Directed Learning: A Meta-Analysis and Meta-Regression

• In Event: Research Syntheses Advancing Knowledge on Cognition and Motivation in Diverse Learning Contexts

Abstract

Despite numerous meta-analyses on mobile-assisted language learning (MALL), no study has synthesized research on comparison conditions and moderators of self-directed learning (SDL) in MALL. This study analyzed 27 primary studies published between 2009 and 2021, involving 1,964 participants. The findings suggest that the effect of SDL in MALL varies across conditions, ranging from small (g = .40) in MALL minus feature (MMF) to large (g = .88) in paper-based learning (PBL). Seven moderators impact the MALL effect on SDL, including application type, assessment type, device type, language competency, mother tongue, target language, and target language skills. The article concludes with implications for app creators, practitioners, and researchers.

Authors

• Adnan Mayof, Washington State University

• Yuliya Ardasheva, Washington State University - Tri Cities