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The aim of this research is to examine the effect of online learning attitudes on online learning readiness of sports sciences students during the period of coronavirus pandemic (covid-19). The research was designed with the correlational survey model. The population of research consisted of sports sciences students from the faculty in seven state universities in Turkey. The sample consisted of 599 (271 female + 328 male) sports sciences students studying at the Departments of Coaching Training, Physical Education and Sports Teaching, Recreation and Sports Management, selected by the easy sampling method from these faculties and taking courses from the online learning platform. Data in the research was collected by using "Online Learning Attitude Scale", "Online Learning Readiness Scale", and "Personal Information Form". The data was analyzed using descriptive statistics, Pearson's correlation and regression analysis. According to the research findings;There is a moderately significant positive correlation between online learning attitude and online learning readiness (p <.05). Also, online learning attitude was found to have a significant effect on online learning readiness (p <.05). As a result;In the field of sports sciences, the necessity of establishing a positive online attitude and creating a basis for a successful online learning readiness to provide a good online learning to the learner has been put forward. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
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Introduction: Over the last decades, the university system has experienced huge growth, facing several challenges. Accordingly, the University of Pisa recognizes the value and opportunities deriving from research and fully supports collaboration with the world of entrepreneurship and industry, as well as local communities. Study programs, teaching methods and technologies, learning environments, quality assurance, programmed student numbers, and research results are key features of the prestige of the scientific community. Aim: In this respect, “Sport and Anatomy”, a brand that includes an academic organization at the University of Pisa, holds two main goals: (i) to offer the top level in both educational and professional fields;and (ii) to optimize the fine-tuning among all these sections, thus becoming a reference point for sports management. Methods and results: Indispensable links between basic and specialist sciences through different Masters’ and schools were created. In addition to didactic activity, research activity, medical assistance, and rehabilitation were coordinated. Two main outcomes emerged from this experience: (i) improved stakeholder performances and (ii) optimized cooperation between university and local communities. Conclusions: “Sport and Anatomy” plays a key role in supervising and accomplishing in an innovative way all the three missions of the university (i.e., teaching, research, and dissemination of knowledge), thus strongly fulfilling the aims of modern university targets.
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The aim of the study is to reveal how the personality types of Sports Science students have affected their fear of COVID-19 in terms of some variables. 272 undergraduate students (female: 115, male: 157) who continued their studies in Sports Sciences participated in the study. In the study The 'Coronavirus-19 Fear Scale' and The 'Five Factor Personality Scale' was used. The obtained data were analyzed with the Jamovi 2.0.0 statistical software program. According to the findings, students' coronavirus total scores have a positive relationship with the 'Self-Regulation' personality type and a negative relationship with the 'Neurotic' personality type. As a result, coronavirus fears are affected by students' personality types, gender, smoking and the fact that someone in the family has COVID-19.
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In this paper, we introduce a new class of statistical models to deal with the data sets in the sports and health sectors. The new class is called, a novel exponent power-Y (NovEP-Y) family of distributions. By implementing the NovEP-Y approach, a new model, namely, a novel exponent power-Weibull (NovEP-Weibull) distribution is introduced. Some distributional properties of the NovEP-Y family such as identifiability, order statistics, quantile function, and moments are obtained. The maximum likelihood estimators of the parameters are also derived. Furthermore, a brief Monto Carlo simulation study is conducted to evaluate the performances of the estimators. To show the applicability of the NovEP-Weibull model, two data sets from the sports and health sciences are considered. The first data set represents the time-to-even data collected from different football matches during the period 1964-2018. Whereas, the second data set is taken from the health sector, representing the survival times of the COVID-19 infected patients. Based on some well-known statistical tests, it is observed that the NovEP-Weibull model is a very competitive dis-tribution for modeling the data sets in the sports and health sectors. (c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
ABSTRACT
Covid-19, the most devastating pandemics of human history, has adversely affected education fraternity. This unprecedented and sudden outbreak of pandemic has forced the education sector to go through complete makeover overnight. The objective of the present paper was to analysis the strengths, weaknesses, opportunities, and threats of online teaching of physical education and sports sciences during covid-19. Secondary data available online was utilized to complete the SWOT analysis. The findings of the study revealed that innovative audio-visual aids and tools employed by teachers, flexibility in timing and collaborative learning were recorded as strengths. However technical difficulties in term of usages of devices and software's, isolation and anxiety suffered by learner's were considered weaknesses. Lack of infrastructure and devices, network speed and connectivity, Digital illiteracy and divide and cost of technology were regarded as threats. Government initiative in this direction opened doors for many opportunities like creation of innovative program, tools, and technology. It was recommended that despite many strengths and opportunities a detailed and comprehensive online program and operational policy should be implemented by the government to nullify the grassroot problems. This work will help government, industry, and academia to prepare a better future road map for model online education. © 2021 IEEE.