A Bibliometric Analysis on Mobile Assisted Language Learning: Research Trends and Patterns

• In Event: DDL- Trends in Online Teaching and Learning

Short Description

This paper presents the findings of a bibliometric analysis conducted on the use of mobile-assisted language learning (MALL). Social network analysis (SNA) and text-mining techniques were used to analyze a corpus of MALL research published between 2008 and 2020. The results suggest five broad areas of research themes such as personalizing learning through artificial intelligence, provisioning learner agency and motivation, self-regulation and goal-setting. The session will highlight research areas that need more attention.

Authors

• Contributor: Kadir Karakaya, Iowa State University

• Contributor: Aras Bozkurt, Anadolu University Turkey