小学体育健康教育在线学习评价:PLS-SEM方法

T. Rihatno, S. Nuraini
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引用次数: 1

摘要

新冠肺炎疫情期间,体育健康教育在线学习遇到了多重障碍和阻力。在线学习面临的障碍包括设施和基础设施不足、教师对技术的掌握以及有限的互联网网络。因此,为了衡量PESH学习目标的实现情况,需要一个评估过程。摘要本研究旨在评估小学体育运动与健康(PESH)线上学习的成效。它采用随机抽样技术,在日惹获得188名答复者的抽样。此外,五所小学的学生、教师、校长和副校长参与了调查问卷。由于结构模型和指标比较复杂,采用二阶偏最小二乘结构方程模型(PLS-SEM)技术对结构模型进行检验,该模型包括5个测量值、13个方面、43个结构和21个假设。测量和结构模型的评估符合本文的截止值。总体而言,各指标能解释在线学习评价成功的方差,平均值为88.821%。每个变量对学习成果的平均成功有显著影响。在线学习评价结果的总体重述率为bb0 80%,输入变量的平均重述率为90.359%。学生特征和设施基础学习在学习评价成果的获取中占主导地位。研究人员提出的建议是,学校应该增加设施、基础设施和互联网网络的提供,以便教师更好地实施技术和掌握材料。
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Evaluation of Physical and Health Education Online Learning in Elementary Schools: PLS-SEM Approach
During the COVID-19 pandemic, online learning in physical and health education encountered multiple barriers and resistance. Barriers faced in online learning include inadequate facilities and infrastructure, mastery of technology by teachers, and limited internet networks. So, to measure the achievement of PESH learning objectives, an evaluation process is needed. The Physical Education, Sport, and Health (PESH) quantitative survey research aims to evaluate the success of PESH online learning in elementary schools. It used random sampling technique and obtained a sample of 188 respondents in Yogyakarta. In addition, students, teachers, principals, and vice-principals in five elementary schools participated in the research respondents. The second-order partial least squares structural equation modeling (PLS-SEM) technique was used to test the structural model because of the complexity of the constructs and indicators, which consisting of 5 measurements, 13 aspects, 43 constructs, and 21 hypotheses. The evaluation of the measurement and structural models has met the cut-off values in this literature. Overall, each indicator can explain the variance of the success of online learning evaluation with an average of 88.821%. Each variable has a significant influence on the average success of learning outcomes. The overall recapitulation of the online learning evaluation results obtained >80% with the input variable obtaining an average of 90.359%. Student characteristics and facilities and infrastructure learning are the most dominant in the acquisition of learning evaluation achievements. The recommendation that researchers put forward is that schools should increase the provision of facilities and infrastructure and internet networks so that the implementation of technology and mastery of the material by teachers can be carried out better.
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