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Predictors of Perceived Learning in a Distance Learning Environment from the Perspective of SIPS Model

机译:啜饮模型视角下远程学习环境中感知学习的预测因素

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ABSTRACT The current study was based on Weidlich and Bastiaens’s SIPS model. The variables included in the study were modeled to reveal their roles in online learning environments. The data collected from 396 pre-service teachers, who were enrolled in one or more distance learning courses on and before the 2017–2018 academic year spring semester in a public Turkish university and participated in the study. A combined data collection instrument that included 61 items and a demographic information form and five scales was utilized. It was observed that the SIPS model tested with structural equation model in the present study was confirmed for the Turkish sample. One predicted variable was determined (predictive learning) by regression analysis, and in this analysis, it was determined that sociability and social interaction were not significant predictors. Only sociability was not a significant classificatory variable in CHAID.
机译:摘要目前的研究是基于Weidlich和Bastiagens的SIPS模型。该研究中包含的变量被建模以揭示其在在线学习环境中的角色。从396名乘坐公共土耳其大学春季学期和在2017 - 2018年春季学期开始的一个或多个远程学习课程中收集的数据,并参加了该研究。利用包括61项和人口统计信息形式和五个尺度的组合数据收集仪器。观察到本研究中用结构方程模型测试的啜饮模型被证实了土耳其样品。通过回归分析确定(预测学习)并在此分析中确定一个预测的变量,确定社交性和社会互动不是显着的预测因子。只有社交性在CHAID中没有一个重要的分类变量。

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