The purpose of this study was to evaluate the quality of implementation and Physical Education (PE) teachers’ perceived advantages, disadvantages, and encountered difficulties of online PE teaching during the first wave of the COVID-19 pandemic. The participants were 1148 professionally active PE teachers from Poland, North Macedonia, Croatia, Turkey, Bulgaria, and Kosovo (613 female, 535 male). A cross-sectional online survey study was performed between May and September 2020 and was done online through an electronic questionnaire. Study results suggest differences in evaluation of online teaching between PE teachers from different countries: a positive evaluation of online teaching reported from teachers from Croatia, Poland, and Bulgaria, neutral in Turkey, and a negative evaluation during that period by teachers in Macedonia and Kosovo. Different ratings of advantages, disadvantages, and difficulties from the studied countries in online teaching in primary and secondary schools were also noted. A lack of proper equipment at home, a lack of proper training for information technology (IT) use, as well as use of different platforms for online teaching were among the highest-ranked difficulties during online teaching. The greatest concerns during online PE teaching were identified in terms of pupils’ safety, the intellectual property of resources, and the quality of curriculum delivery. The results from the study identify the most important areas of teachers work where PE should be supported regarding online teaching.

This study examined the effect of two different follow-ups of a plyometric program on improving speed and explosive strength. Thus, the purpose of this study is to identify the 12-week effect of the plyometric program on the development of speed and explosive strength in adolescents. The research was conducted on a sample of 195 male adolescent participants aged 15 years ± 6 months, who were divided into two groups, the first group of the plyometric group (PG) 90 adolescents s participated in plyometric training sessions three times a week for 12 weeks, while the control group (CG) 105 adolescents only attended their regular lessons in Physical Education. Tests of study: sprint (S) 30 m speed; S80 m speed; S100 m speed; Standing long jump; Standing triple jump; Vertical Jump. The results presented between the measurement pre- and post-plyometric program in the group (PG) have resulted in favor of this group over the control group (CG), and it has also been identified that there are significant differences in the indicators of speed and explosive strength at the level (p < 0.05). In conclusion, a 12-week plyometric program has shown significant increases in speed and explosive strength indicators in teenagers, and the same model can be used in elite athletes.

The paper was effects of the 4 week plyometric training program on explosive strength and agility for basketball players. Totally 20 basketball players were volunteered for the study (age = 15 years +/- 6 months). They were divided to 2 groups: the control group (CG, n = 10; height = 171.930 cm, weight = 70.840 kg, BMI = 20.563), the experimental-plyometric group (EG, n = 10; height = 173.090 cm, weight = 64.300 kg, BMI = 19.068). The tests are twelve (13) variables of them, 3 from anthropometric and 10 motor tests. According to the results of the CG, significant small differences are presented in two tests, such as 20m running (sprint) testing with significant differences (p= 0.013), and abdominal muscle testing with significant differences (p= 0.036). However, in the PG, significant differences in four tests, the jump from place to length with significant differences (p= 0.003), the high jump with the approach of one foot significant differences (p= 0.035), push-ups (pump) test with significant difference (p= 0.004), Illinois Agility test with significant difference (p= 0.004). Through which it was possible to conclude that the effects of the experimental-plyometric training program of the game basketball indicators.

Objectives: The main purpose of this study is to identify the relative effect of age (RAE) according to norm values on the anthropometric performance and physical fitness of children between the ages of 9 and 11 years. The data, namely the percentiles of anthropometric parameters and physical fitness, are relevant for identifying the RAE in relation to gender and the month of birth in children. Methods: For the sample in this study, 1185 young people from Kosovo were enrolled, including 626 males and 559 females aged 9–11 years. The gathered data were assessed via the EUROFIT methodology, which takes into account comparisons based on the quartile of birth and the relative age effect (RAE). Results: The results of the data show us that there are significant differences in the RAE among children born in Q2 at the age of 9 years, especially in boys, as well as significant differences in the height variable at the <0.005 significance level. Others factors did not show significant differences, for example, variables that are indicators of physical fitness. For both boys and girls born in Q1, significant differences were mainly found in the indicators of explosive strength, flexibility, static strength, speed, and agility, with a level of significance of p < 0.001, while other indicators did not show significant differences. In addition, there was a significant difference the ratio between genders at the p < 0.001 and p < 0.005 levels, mainly among those born in Q1 and Q2. Similarly, at 10 years of age, children who were born earlier in the year had better scores, although the large disparities were more noticeable between quartiles than between genders, where the significant differences were mainly in the indicators of explosive strength, speed, and strength at the p < 0.001 level, as well as static strength, agility, and speed at the p < 0.005 level. Significant differences were also found for the indicators in terms of gender. At the age of 11, significant percentiles were mainly found in the quartiles at the beginning of the year for both boys and girls, and significant differences were also found at the p < 0.001 level for RAE between quartiles and gender. Conclusions: By using these data, it will be possible to highlight how males, who have demonstrated notable advantages in anthropometric and physical fitness measures, as well as those born in the first few months of the year, exhibit a relative age effect (RAE) in accordance with gender norm values.

Study purpose. This paper is about the differences in anthropometric characteristics between elite and non-elite youth football players in the Republic of Kosovo. Therefore, our current study aims to compare the differences in anthropometric characteristics between elite and non-elite youth players. The test was conducted with 132 young football players aged 14±0.5 years. Materials and methods. The sample was divided into two groups, namely 66 young players playing in the elite league and 66 young players playing in the non-elite league. The sample of variables consisted of 10 anthropometric measurements. The results of the measurements were analyzed using statistical procedures characterized by descriptive parameters and analysis of variance (ANOVA). Results. The results show that the elite league players have higher values in height and body mass compared to the non-elite league players. It should be noted that the length of the left leg is also higher in the elite league players, while the waist circumference is higher in the non-elite league players. As for knee diameter, the values are identical in both groups. Subcutaneous adipose tissue is more pronounced in the non-elite group than in the elite league players. According to the analysis of variance (ANOVA), significant differences were presented only in the three variables such as the subcutaneous adipose tissue of the back, triceps and suprailiac between the elite and non-elite groups at the level (p<0.05), while no differences were presented in other variables. That is, between the elite and non-elite groups. Conclusions. In summary, the elite league players had better values in the anthropometric characteristics compared to the non-elite league players.

The purpose of this chapter is to present the application of basketball game models through sports technology. The chapter contains introduction, terminology, sports technology practices, basketball models through technology, compilation of basketball models in sports technology, and references. In this chapter, there will be other sub-chapters that will be considered in case of depth exploration of the chapter, writing, processing, and modification of data from other authors. We will present realistically the most renowned thinkers and theorists of the field of models and sports technology from which to draw the most practical model of evolution of basketball.