中小学教师在线教学继续意愿研究——基于扩展的ECM-IS模型

Yongpeng Cui, Xuan Wang, Jixin Wang, Can Zuo, Jun Tian, Mengting Chen
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引用次数: 0

摘要

近年来,网络教学成为K-12教育改革的热门话题。在信息系统延续期望确认模型(ECM-IS)的基础上,引入自我效能、创新、感知风险和信息素养四个个体特征因素以及主观规范和便利条件两个外部环境因素,构建了“技术-个体-环境”视角下教师网络教学延续意愿影响因素的理论模型。本研究通过实证研究检验了包含九个变量的模型。使用在线问卷收集了59156名在COVID-19期间有过在线教学经历的K-12教师样本的数据。使用偏最小二乘结构方程模型(PLS-SEM)对数据进行建模以检验假设。结果发现,ECM-IS模型中的感知有用性和满意度对教师的留任意愿有显著影响,而自我效能感、信息素养、创新能力和主观规范对教师的留任意愿有显著影响。然而,风险感知和便利条件对继续意愿没有影响。根据研究结果,提出了提高网络教学效果的建议:完善硬件设施和软件资源,创新教师培训和研究方法,优化网络教学服务供给。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on K-12 Teachers’ Continuance Intention of Online Teaching-Based on the Extended ECM-IS Model
In recent years, online teaching has become a hot topic in K-12 education reform. Based on the expectation confirmation model of information systems continuance (ECM-IS), four individual characteristic factors of self-efficacy, innovation, perceived risk and information literacy as well as two external environmental factors of subjective norms and facilitating conditions were introduced to build a theoretical model of factors affecting teachers’ continuance intention of online teaching from the perspective of "technology-individual-environment". This study tested model encompassing nine variables through empirical research. Data were collected on a sample of 59156 K-12 teachers who have had an online teaching experience during COVID-19 using an online questionnaire. Data were modelled using the partial least squares-structural equation model (PLS-SEM) to test the hypotheses. Results indicated that perceived usefulness and satisfaction in the ECM-IS model have significant effect on teachers’ continuance intention while self-efficacy, information literacy, innovation and subjective norms were found to significantly affect teachers’ continuance intention. However, perceived risk and facilitating conditions have no effect on continuance intention. According to the results, there are some suggestions for better online teaching effects: improving hardware facilities and software resources, innovating teacher training and research methods, and optimizing online teaching service supply.
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