Cross-Cultural Learning: A Visualized Bibliometric Analysis Based on Bibliometrix from 2002 to 2021

Abstract

With the significant increase of studies on cross-cultural learning (CCL) in the recent two decades, it is essential to conduct a systematic review of various literature and their development processes. This article is aimed at revealing research hotspots and emerging trends in CCL studies. This study adapted a visualized bibliometric approach to analyze research articles in the Cross-Cultural Learning-Internet of Things area. We extracted papers published in respected journals as the dataset. Based on bibliometrix, this study collects 1,899 records indexed in the Core Collection of Web of Science (WoS) in the domain of CCL from 2002 to 2021. The findings indicate that the number of published articles shows an apparently upward trend; the United States occupies the leading position, while the most productive journal is Computers & Education; King from Nanyang Technological University of Singapore is the most prolific author, and Nielsen ranks the first in terms of citation; cross-cultural, culture, learning, cross-cultural comparison, and cross-cultural research are found to be the most high-frequency keywords used by authors; cross-cultural projects, students and teachers, cross-cultural research, and educational technologies are the most discussed topics in this field; several notable topics related to CCL and Internet of Things. Visualization study is beneficial to track the hotspots and frontiers of CCL studies in order to effectively grasp the breakthrough points for future research. The results provide helpful information for newcomers, researchers, scholars, and practitioners to identify knowledge gaps, point out future research directions, and move this field forward.