This study investigates the influence of technological capability, learning capability, innovation capability, student mindset, perceived benefits, and government policies on the adoption of educational technology (EdTech) in Thailand. The research focuses on students from the ten private universities in Bangkok with the highest student populations, targeting a sample size of 515. A quantitative methodology was employed, involving the distribution of surveys to gather data. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were used for data analysis. The results indicate that technological capability, innovation capability, student mindset, perceived benefits, and government policies significantly influence EdTech adoption. However, learning capability does not show a significant impact on EdTech adoption. These findings provide valuable insights into the factors driving EdTech adoption in Thai higher education, emphasizing the importance of technological and innovative capabilities, as well as supportive government policies and positive student mindsets.
No takes yet. Share an insight, caveat, or question.
Thanawan Phongsatha (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: