A Bibliometric Analysis of Digital Textbook Research: Identifying Trends, Themes, and Networks

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Abstract

Previous reviews have synthesized findings on digital textbooks. This study creates a comprehensive bibliometric analysis that maps its intellectual structure and evolution. The analysis based on 451 publications retrieved from the Web of Science database employs Visualization of Similarities Viewer (VOSviewer) as research tool. The study aims to identify research trends, major thematic clusters, influential works, and structure of networks within digital textbook research. The findings reveal a rapidly growing body of research dominated by the United States and several European and East Asian countries, with seven key thematic clusters emerging, including digital literacy, immersive technologies, usability, and learning outcomes. The study also highlights the interdisciplinary nature of the field and underscores the potential of digital textbooks to enhance educational practices, promote equity, and support sustainable development. Future research should focus on digital literacy, sustainability, AI integration, cognitive impacts, accessibility, and advanced technological applications.

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Tang, X., Chen, S., & Liu, X. (2026). A Bibliometric Analysis of Digital Textbook Research: Identifying Trends, Themes, and Networks. IEEE Access. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2026.3670174

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