Technologic developments have -the same as they have done it in every sector-influenced the education system. These influences have forced to use the computer in the education-training applications within the education system. The aim of this research is to determine, compare, and examine the influences on the conduct for learning of sport educators towards their perceptions of Computer Aided Education. In this context the perception levels of sport educators related with computer aided education was revealed, the risk factors and their conduct for learning was determined. Furthermore, the variables which might affect their conduct for learning with computer aided education were determined. The population of research was composed of sport educators in Turkey. The sample group was composed of 616 male and 278 female sports educators in the school year 2012-2013. The obtained data was analyzed using SPSS 17.0 statistical package program. In the end of this research, it had been seen that the perception of sport educators of computer aided education was above the average. Also it was concluded that significant differences exist on sub-dimensions toward their conduct for learning. Relationship between perceptions of sport educators towards computer-aided education in terms of conduct for learning were above average, also has a strong, positively and significantly relationship were determined (r = 0.596).

The excessive internet usage that interrupts social relations, physical characteristics and mental conditions of individuals is called as internet addiction. At the previous studies, it is reported that university students are at risk of Internet addiction due to their uncontrolled lives without families and killing their time surfing the internet. The objective of this study is to identify the addiction level of university students' internet usage within the framework of some variables. A total of 463 students, 194 girls and 269 boys, who study at different 7 Departments of Physical Education and Sport Teaching within School of Physical Education and Sports and Faculties of Sport Sciences, attended this study in 2016-2017 Academic Years. "Personal Information Form" is used to determine the internet addiction of students "Internet Addiction Scale" developed by Young (1998) and to determine the demographic features and the data regarding the internet usage. In this study, the risk average for internet addiction of students is determined 2.55. It has been observed that the individuals who addict the internet constitute 3.9% of my samples. It is confirmed that internet addiction of male students is considerably higher than female students. It is ascertained that students who have Internet and a social media account are under higher risk of internet addiction. It has been emerged that there is no significant relation between the age/ monthly income of the family and the internet addiction level.

The purpose of this study was to examine the attitudes of physical education teacher candidates toward the teaching profession and the perceptions of professional competence according to some variables. A total of 351 teacher candidates, studying in the last class of Physical Education and Sport Teaching Department in the Faculty of Sports Sciences and Physical Education and Sports Schools were enrolled as the research group.

H ızla gelişen teknolojiyle birlikte depolanan verilerde de çok fazla artış olmuştur. Bu kadar çok veri arasından önemli ve istenilen verilerin ayırt edilebilmesi çok önemlidir. Bunun için en etkin kullanılan yöntem veri madenciliği yöntemidir. Veri madenciliği en kısa tanımıyla depolama ortamına kaydedilmiş çok fazla veri arasından istenilen, önemli ve değerli bilgilerin ortaya çıkarılmasıdır. Yeni bir konu olmakla birlikte çok fazla uygulama alanı bulunmaktadır. En fazla uygulama yapılan alanlar tıp, biyoloji ve genetiktir. Bu çalışmanın amacı veri madenciliğinin spor alanında kullanımının incelenmesidir. Ülkemizde sporda veri madenciliğiyle ilgili çok fazla bilimsel çalışma bulunmazken, yurtdışında bu alan oldukça gelişmiştir. Spor veri madenciliği teknikleri için oldukça uygun bir alandır. Sporcular, takımlar, müsabakalar ve sezonlarla ilgili çok fazla veri bulunmaktadır. Bu verilerin analiz edilmesiyle gelecekteki müsabakaların skorları tahmin edilebilmekte, oyunda yeni stratejiler belirlenebilmekte, sporcu, antrenör, tesis, sporcu araç gereçleri seçimlerinde bu verilerden yararlanılabilmekte, başarım değerlendirmesi, sporcu sakatlanma riskleri, bilet satış tahminleri ve analizleri yapılabilmektedir.

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