基于虚拟学习环境的一系列体能测试的有效性探讨

Joseph T. Lobo, Francisco Gabriel Prevandos, Clarenz Bautista, Don Al De Dios, Genesis Dimalanta, Novri Gazali
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摘要

背景。根据几项研究,在线pft可以评估学生的身体健康状况。然而,很少有论文在菲律宾高等教育机构的设置中研究这一问题。研究的目的。这项实验研究考察了身体健康测试(pft)的一个子集是如何影响BMI改善的。材料和方法。在五周的体能测试后,本研究采用实验设计来比较测试前和测试后的分数,同时控制性别、年龄和体重指数。一份分为两部分的调查问卷收集了参与者的数据。首先,提供了性别、年龄和测试前BMI。第二部分为体能活动准备问卷(PAR-Q)。使用IBM SPSS 27对5周实验数据进行分析。描述性统计方法显示了参与者的人口统计学和健康测试结果(频率、百分比、平均值和标准差)。在选定的pft之前和之后,使用单向方差分析和独立样本t检验来检查学生的表现,以确定性别,年龄和体重指数等因素是否影响表现。在适应度检验后,使用配对样本t检验来查看测试前后的得分是否有统计学差异。结果。所选PFTs前后的表现在年龄组之间无统计学差异。除垂直跳跃测试外,性别组间差异不显著。男性的表现优于女性。最后,在执行推荐的pft五周后,测试后得分在统计学上显著高于测试前水平。选定的pft在在线学习中很有用,特别是在菲律宾当地机构中。本研究支持大学体育教师可以定期使用上述评估来测试学生的健康水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Effectiveness of a Battery of Physical Fitness Tests via Virtual Learning Environment
Background. Online PFTs can assess students’ physical fitness, according to several studies. However, few papers examined this issue in the setting of a Philippine higher education institution. Study purpose. This experimental research examined how a subset of Physical Fitness Tests (PFTs) affects BMI improvement. Materials and methods. After five weeks of fitness tests, this study used an experimental design to compare pre- and post-test scores while controlling for gender, age, and BMI. A two-part survey questionnaire collected the participants’ data. First, gender, age, and pre-test BMI were provided. The Physical Activity Readiness Questionnaire was the second part (PAR-Q). Analysis of the 5-week experiment data used IBM SPSS version 27. Descriptive statistical approaches displayed the participants’ demographics and fitness testing results (frequency, percentage, mean, and standard deviation). Before and after the selected PFTs, the students’ performance was examined using the one-way ANOVA and the independent samples t-test to determine if factors like gender, age, and body mass index affected performance. After the fitness tests, the paired samples t-test was used to see if the pre- and post-test scores were statistically different. Results. Performance before and after the selected PFTs was not statistically different between age groups. Except for the vertical jump test, gender groups did not differ significantly. Males outperformed females. Finally, after five weeks of performing the recommended PFTs, post-test scores were statistically significantly higher than pre-test levels. Conclusions. The selected PFTs were useful in online learning, especially in a Philippine local institution. This study supports the idea that college physical education instructors can regularly test their students’ fitness levels using the above assessments.
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