A Diffusion of Innovation Perspective for Digital Transformation on Education

• Published in: Procedia computer science 2023, Vol.225, p.2439-2448
• Main Authors: Wang, Yilei, Hong, Daocheng, Huang, Jun
• Format: Article
• Language: English
• Subjects: Bass Mode; Diffusion of Innovation Theory; Digital Learning; Digital Transformation
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2023.10.235

As China's national digital strategy proceeds into its implementation phase, there is an urgent need to further deepen the integration and synergy between technology and education to take the full advantages of digital education in this new era. Technological innovation and digital transformation can generate new momentum in high-quality education development by causing a major shift in educational paradigms and practice models. While the micro-level implementation of digital transformation on education has already been extensively discussed in the educational sector, the efforts in answering the same question from a macro-level perspective is currently lacking. The present study addresses this gap by discussing the implementation of digital transformation on education through the lens of diffusion of innovation theory. Specifically, we examine how the theory can provide unique insights on studying the developmental status, process, and outcome of digital transformation on education. As the application of diffusion of innovation theory in this topic, the study will contribute to the development of China's high-quality education system by providing theoretical guidance on the advancement of digital transformation on education under the overarching goal of education modernization.