技术接受模型
结构方程建模
可用性
大流行
2019年冠状病毒病(COVID-19)
心理学
教育技术
数字化学习
知识管理
数学教育
计算机科学
教育学
医学
人机交互
传染病(医学专业)
疾病
机器学习
病理
作者
Noawanit Songkram,Hathaiphat Osuwan
出处
期刊:Sustainability
[MDPI AG]
日期:2022-05-16
卷期号:14 (10): 6027-6027
被引量:10
摘要
With the emergence of the novel coronavirus disease 2019 (COVID-19) pandemic in 2020, educational institutions had to rapidly adapt from face-to-face to online learning to ensure continued education. Various digital learning platforms were tools for online teaching. Therefore, this study aimed to examine the acceptance of technology and behavioral intentions to use digital learning platforms of K-12. Toward this end, the study employed the technology acceptance model as a framework and was expanded with various variables, including technology self-efficacy, subjective norms, and facilitating conditions. An online questionnaire collected data from 519 K-12 teachers in Thailand. The structural equation modeling approach tested the proposed model. The results demonstrated that attitude and subjective norms significantly influenced behavioral intentions toward use, whereas perceived usefulness and ease of use directly influenced attitudes. Moreover, technology self-efficacy, subjective norms, and facilitating conditions influenced perceived ease of use. The findings can serve as a reference for teachers, school administrators, and policymakers in increasing the acceptance of digital learning platforms among future teachers.
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