Digital Education After Covid-19: A Scientometric Analysis

This study constitutes a comprehensive scientometric analysis to comprehend the developmental dynamics within digital education. The examination focuses on a dataset comprising 2,000 highly cited scholarly articles from each of the 15 most actively publishing countries in the Web of Science database. By meticulously scrutinising factors such as publication trends, influential authors, prominent institutions, prolific nations, and reputable journals, the study furnishes valuable insights into the progressive evolution of the digital education landscape. The findings not only shed light on the current state of affairs but also unveil the trajectory that digital education is taking. Noteworthy is the shift toward embracing metaverses in educational contexts, the discernible influence of robotics on student motivation, and the burgeoning adoption of blockchain technology for validating digital diplomas. To conclude, this research underscores the multifaceted nature of digital education and its intersections with various domains. The discerned patterns and emergent themes establish a robust groundwork for making informed decisions and formulating strategic agendas for educators, researchers, and policymakers alike. As the digital education landscape evolves, the insights gleaned from this study serve as an invaluable guide, navigating the ever-shifting topography and anticipating the potential impacts on forthcoming learning paradigms.