Parental Acceptance of Online Learning During Covid-19 Pandemic: A Study Based on Integrated Model of Technology Acceptance and Expected Confirmation

Jun Tian, Xuan Wang, Jin-xin Wang, Daiqi Wang, Can Zuo
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Abstract

By the natural parents are the essentials of educating young generations. In China during Covid-19, especially the lock-down period, parents companied children at home and observed their learning behavior. Parental acceptance of online learning can offer a valuable reference for the further adaptation of online k-12 education. This study used an integrated model of technology acceptance and expected confirmation, demonstrating Parental acceptance by three variables: acceptance, satisfaction, and continuance intention. Moreover, an influential, factor model of Parental acceptance was built, which including teacher support, perceive autonomy and interactivity, technology preference and experience. Measurement and structural data models are verified by using partial least squares regression (PLS), which supports all the hypotheses empirically.
新冠肺炎大流行期间家长对在线学习的接受程度——基于技术接受与期望确认的集成模型研究
天生的父母是教育年轻一代的必要条件。在中国,特别是在疫情防控期间,家长在家陪伴孩子,观察孩子的学习行为。家长对在线学习的接受程度可以为k-12在线教育的进一步适应提供有价值的参考。本研究采用技术接受和期望确认的整合模型,通过接受、满意和继续意愿三个变量来证明父母的接受。此外,本文还构建了一个包括教师支持、感知自主性和互动性、技术偏好和体验在内的影响因素模型。采用偏最小二乘回归(PLS)对测量数据模型和结构数据模型进行了验证,该模型在经验上支持所有假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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