AI Summary & Key Takeaways
AI InsightThe bibliometric mapping results indicated that related studies mostly focused on the effectiveness of mobile and ubiquitous learning.
📌 3 Key Takeaways
Abstract
The main aim of this research is to display research trends in studies on augmented reality (AR) in teaching English as a foreign language by using bibliometric mapping and content analysis. For this purpose, 64 studies in total published up to 2019 were accessed for bibliometric analysis. In addition, 49 articles published between 2007 and 2019 were reached for content analysis. The bibliometric mapping results indicated that related studies mostly focused on the effectiveness of mobile and ubiquitous learning. In addition, early childhood education, mobile learning, and gamification have become the focus of recent research. While Thorne, Azuma and Squire are the mostly cited authors in this field, Computers & Education, Educational Technology & Society, British Journal of Educational Technology and Computers in Human Behavior are among the journals cited most. Content analysis results revealed that academic achievement and motivation were the most commonly examined variables in the studies. These results revealed that most of the studies were grounded on quantitative research designs, especially experimental designs. Questionnaires and achievement tests were the most used data collection tools. While purposive sampling was the most preferred sampling method, there was an increase in the adoption of random sampling in 2011. Finally, descriptive statistics, T-tests, ANOVA-ANCOVA, and correlation analysis were mostly performed quantitative analysis methods, and content analysis was mostly used in qualitative analysis.