Digital Transformation and Artificial Intelligence in Education in Vietnam: A Bibliometric and Systematic Review
TL;DR
The study indicates a tendency toward the role of AI alongside broader DT strategies in bridging readiness and implementation, reinforcing human capacity as central to sustainable digital transformation.
Abstract
Globally, digital transformation (DT) is reshaping education through data-driven innovation, artificial intelligence (AI), and emerging learning technologies. These transformative forces are influencing not only instructional methods but also governance, equity, and sustainability in education. Within this context, the study provides a comprehensive review of DT and AI in Vietnam’s education sector. Combining bibliometric mapping with a systematic content analysis, it synthesizes recent scholarly developments to reveal key research trends, methodological orientations, and conceptual structures. Five thematic clusters are identified, including digital competence, institutional transformation strategies, AI literacy, and learner engagement, potentially reflecting a shift from institutional readiness toward learner-centered innovation. The review distinguishes AI-enabled applications from broader digital infrastructure, categorizing studies according to the functional roles and integration modes of DT and AI. The findings suggest that current research remains concentrated in higher education, emphasizing readiness, perception, and capability building, while applied and experimental investigations are still emerging. The study also indicates a tendency toward the role of AI alongside broader DT strategies in bridging readiness and implementation, reinforcing human capacity as central to sustainable digital transformation.