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As science and technology continue to advance and life standards continue to improve, poor living and study habits are common among today’s college students, making their physical health deteriorate. At present, the physical fitness test management system of college students is not perfect. This paper studies the physical fitness test administratio...
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... According to the findings of Sun et al. it was discovered that the replacement of facetoface physical education with its internetbased counterpart in 2020 had negative effects on pullups and 800/1000meter runs but had significant beneficial impacts on other items [50m run, situps, standing long jump, pullups (males), and sitandreach (females]; these findings are consistent with the study of [38]. In addition, the empirical research conducted by [39] discovered that the incorporation of an Internet of Things (IoT) smart sensor into a system for handling the results of physical fitness tests administered to college students improved the process efficiency by sixty percent, hence enabling the system to more swiftly respond to a variety of prospects. Likewise, the mobile application developed and designed by [40] that focuses on multimedia feature, behavior of controls and system information, overall interface and customizability/support for user preferences has been tested to be viable tool as an alternative mode of tracking and computing the physical fitness level of the students. ...
... Likewise, 24,112 male and 9,690 female physical fitness test data were used in the study of [38]. [39] have revealed that the college students' physical fitness test management system through the Internet of Things smart sensor can swiftly respond to repeated customer visits with reasonably high processing efficiency, increasing efficiency by 60%. However, the studies that were aforementioned above are not the same in terms of the tests that were administered to the participants of this study. ...
PFTs for both traditional and virtual approaches have been shown to be effective in several scientific studies. Over five weeks, this study compared the two PFT administration methods. Participants’ post-test scores were used to evaluate both procedures. The participants were divided into two groups. The battery of PFTs includes the hexagonal test, Plank test, Hand-wall test, Stork-balance test, and Vertical jump. One of these exams will be given weekly for five weeks to each student. Obtained data were processed via IBM SPSS 27. The profile and results of the selected PFTs were interpreted using descriptive statistics like frequency, percentage, mean, and standard deviation. Additionally, Independent samples and Paired t-test were performed to determine the variance between the approaches in the administration of PFTs. All selected PFTs performed similarly for both approaches. Interestingly, both treatments showed considerable BMI change. Virtual administration of selected PFTs is modestly significant compared to traditional administration. Finally, the effectiveness of both approaches was not significantly different. Even though traditional is slightly higher than virtual one. Both procedures work well for college students, and the physical fitness assessments can be utilized repeatedly. This study discusses limitations and further research.
... al., it was found that the replacement of in-person physical education with its online counterpart in 2020 had negative effects on pull-ups and 800-/1000-metre runs but had significantly positive effects on other items [50-m run, sit-ups, standing long jump, pull-ups (males), and sit-and-reach (females)]; these findings are consistent with the study of Xia et al. (2021). Additionally, the experimental study of Xu et al. (2022) found that integrating an IoT smart sensor into a system for managing college students' physical fitness test results improves process efficiency by 60%, allowing the system to more quickly respond to diverse clientele. Likewise, the findings on the study of Ashley and Kawabata (2021), fitness test results from Singaporean students were mainly positive. ...
... Students' body mass indexes likely improved because of the PFTs they were required to do, even though the course was delivered entirely online. These results corroborated those of previous studies that had shown that online fitness assessments were effective (Apriyanto & Adi, 2021;Xu et al., 2022) XI and XII sample using total sampling. There are 346 respondes. ...
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.
... The study indicated that students' positive views on fitness testing were significantly correlated with their satisfaction with the assessment itself. Additionally, the experimental study of [15] reported that integrating an IoT smart sensor into a system for managing college students' physical fitness test results improves process efficiency by 60%, allowing the system to more swiftly respond to the demands of a diverse clientele. On the other hand, the studies that were cited above comprised the only published reports that were identified concerning the effectiveness of measuring one's physical fitness in an online format and through various technological means. ...
This experimental study aimed to assess the contribution of a subset of Physical Fitness Tests (PFTs) to the improvement in the Body Mass Index of the participants in an online learning environment. The participants are asked to perform a series of fitness over the course of five (5) weeks by performing individual tests per week, and comparing their pre-and post-test scores while accounting for gender, age, and BMI. The participants are selected via Judgmental Sampling Technique, and the data were collected by using two (2) parts questionnaire. For the first part, personal profiles such as gender (N female = 33(66.00%), N male = 17(34.00%), age (N 21yo = 20(40.00%), N 19yo = 15(30.00%), N 20yo = 15(30.00%), and pre-test Body Mass Index (N normal = 30(60.00%), N underweight = 12(24.00%), N obese = 8(16.00%) are all included. The second part requested the participants to answer the Physical Activity Readiness Questionnaire (PAR-Q). Descriptive statistical methods were used to describe participants' demographic profiles and PFT results. Additionally, One-way ANOVA and Independent Samples T-Test were utilized comparing the before and after performing the selected PFTs according to gender, age and BMI. Finally, Paired samples t-test was used to determine the significant difference between the pre-and post-test scores of the participants after administering the series of PFTs. There is no statistically significant difference in performance between the genders, with the exception of the vertical jump test (69.99 ± 27.50 vs. 38.21 ± 17.78), t(48) = 4.946, p < .05. Male participants were shown to fare better than female ones. Finally, after five (5) consecutive weeks of executing the selected PFTs, a statistically significant improvement was seen in the individuals' post-test scores (20.45 ± 3.53) compared to their pre-test scores (20.85 ± 3.77), t(49) = 4.233, p < .05. Restrictions of the experimentation and suggestions for future study are also provided.
