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ANOVA Test Results on the Interaction of Audio and Audio Visual Imagery Exercises with Kinesthetic Intelligence (low and high) on choreographic creativity
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Background. Teaching quality in gymnastics is influenced by teachers' performance and attitudes, leading to increased functional creativity and psychological well-being. This, in turn, contributes to the success of the sports institution by enhancing the overall performance and overall well-being of the students. Objectives. The research aims to as...
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Introduction
Ballroom dancing has become popular as an exercise method that encompasses many benefits in the social aspect. However, some middle-aged and elderly dancers have suffered from injuries and other problems from dancing. The comprehensive understanding of gymnastic training to solve this problem has not yet been raised, without which no a...
The purpose of this study was to determine the effect of creative gymnastic exercises on women on the coast of Jorong, Tanah Laut. The method used in this study is the pre-experimental method. The population in this study were female traders on the coast of Jorong, totaling 30 people and a sample of 30 people. In this study, a total sampling techni...
Citations
... Since the performance of the kinetic chain depends on the player himself, he must have a high level of general and specific biokinetic abilities, as "special physical preparation is an urgent necessity for developing and improving the performance of motor skills specific to the type of activity practised, as reaching the highest level of skill performance of movements requires the player to have many general and specific physical abilities, which helps him to raise the level of his skill performance on all artistic gymnastics devices" (Yuzela et al., 2023). ...
Introduction: The importance of the research lies in developing a proposed training program to raise the level of biomotor capabilities as they are closely related to the skill aspect. Objective: To identify the impact of the proposed and followed training programs in developing some biomotor abilities and improving the performance of kinetic chain skills on the ground and parallel movements in artistic gymnastics. Procedures: The experimental approach was used. The program included (20) training units for (10) weeks and two training units per week; after conducting the pre-tests and applying the training program, the post-tests were conducted, and information and data were collected for statistical analysis by the statistical bag. Results: The results of the pre-and post-tests of the biomotor abilities and kinetic chain skills of the experimental group showed that the value of the significance (sig.) is less than the significance level (= 0.05), and this means that there are significant differences between the results of the pre-and post-tests for the research sample and in favour of the post-tests. Discussion: The researchers attribute the improvement in the kinetic chain to the proposed training program, which in turn led to the development of biomotor abilities, which reflected positively on the kinetic chain among the members of the experimental research sample. Conclusions: The researchers concluded that the proposed and followed training programs had a clear positive impact on developing some biomotor abilities and improved kinetic chain skills on the ground and parallel movement systems.
... Factors such as the availability of sports facilities, environmental safety, and community support also play crucial roles in determining participation levels (Bajuri, Hidayatullah, & Kristiyanto, 2018;Wei, Su, & Hsu, 2020). For instance, access to sports fields, parks, or fitness centers can significantly influence participation, yet such resources are often unevenly distributed between rural and urban areas (Yuzela, Kristiyanto, & Riyadi, 2023). ...
Study purpose. This study aims to analyze sports participation among elementary school students in Karanganyar Regency, with a focus on comparing participation patterns between rural and urban areas. Materials and methods. A descriptive quantitative approach was employed, involving a sample of 180 students from six schools—three in rural areas and three in urban settings—spread across three districts in Karanganyar. Data collection utilized observation, questionnaires, and interviews, with the Sport Development Index (SDI) based on the 2007 SDI KK - OIR 2006 version and an adapted Physical Literacy Knowledge Questionnaire (PLKQ) as instruments. Data analysis was conducted using the SDI to examine the dimension of sports participation, with Microsoft Excel as the analysis tool. The participation index for elementary school students was 0.622, reflecting an average level of sports engagement across the sample. Results. According to the SDI norms, this indicates that weekly sports involvement among students falls within the moderate category. The findings highlight the need for targeted interventions to address disparities in sports participation, particularly between rural and urban areas. Conclusions. Overall, the sports participation of elementary school students in Karanganyar Regency shows that, according to the Sports Development Index (SDI) norms, their participation is included in the moderate category.
... Based on these results, it is suspected that other factors support learning outcomes besides the level of computational thinking of students in the female gender group. Other factors that may influence are the level of self-regulated learning (Santosa et al., 2020), learning style (Yuzela et al., 2023), level of critical thinking (Sola et al., 2017), level of internet self-affiliation (Santosa & Sarwanta , 2021), or other related internal and external factors. It is necessary to conduct more in-depth research on other factors determining the level of learning outcomes in solving social problems. ...
Entering the 21st century, computational thinking has become a basic skill that all students must have. This research aims to determine gender differences in learning outcomes to solve social problems, differences in students' levels of computational thinking by gender, and the influence of students' levels of computational thinking on learning outcomes in solving social problems. This research uses a descriptive verification method with a quantitative analysis approach. The number of research subjects was 256 students, who came from the Faculty of Teacher Training and Education, Sebelas Maret University. The quantitative data analysis used is based on the results of computational thinking ability tests using the Wilcoxon Test. Further analysis of this research uses K-Means for clustering, while analysis of the relationship between variables uses Spearman's rho. This research shows that there is an influence of gender on learning outcomes for solving social problems, there is no significant relationship between students' level of computational thinking and gender, and there is a significant influence of students' level of computational thinking on learning outcomes for solving social problems. The results of this research show that the two factors above play a large role in influencing student learning outcomes. This capability works in synergy with the computational level of thinking. With the right efforts, growing computational thinking skills can improve students' ability to solve various learning problems.
... Based on these results, it is suspected that there are other factors that support learning outcomes besides the level of computational thinking of students in the female gender group. Other factors that may influence are the level of self-regulated learning (Santosa et al., 2020), learning styles (Yuzela, et al., 2023), the level of critical thinking et al., 2017), the level of internet self-affication (Santosa & Sarwanta, 2021), or other related internal and external factors. It is necessary to do more in-depth research related to other factors determining the level of social problem solving learning outcomes. ...
The Effect of Computational Thinking and Gender on Social Problem Solving Learning Outcomes. Objective: to see the relationship between students’ level of computational thinking (CT) on learning outcomes in solving social problems. Metode: using descriptive verification method with advanced analysis of K-Means clustering. Finding: Male and female learning outcomes are significantly different, where female students on average have higher learning outcomes. CT Men and Women there is no significant difference. There is a significant relationship between CT variables and learning outcomes to solve problems. The results of the K-Means analysis showed that Cluster 3 was a group of women with moderate CT levels and high learning outcomes, while cluster 4 was a group of men with moderate CT levels and moderate learning outcomes. Conclusion: female students have higher learning outcomes than male students; there is no significant relationship between CT level and gender; and the results of the K-Mean clustering analysis found 8 clusters.
