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The aim of this research is to predict league rankings through various machine learning models using technical and physical parameters. This study followed a longitudinal observational analytical design. The SENTIO Sports optical tracking system was used to measure the physical demands and technical practices of the players in all matches. Then, the data regarding the last three seasons of the Turkish Super League (2015-2016, 2016-2017, and 2017-2018), was collected. In this research, league rankings were estimated using three machine learning methods: Artificial Neural Networks (ANN), Radial ...More
The use of Web 2.0 technologies such as social media and user-generated content and their educational prospective attract the attention of many researchers. The results of the vast majority of these studies suggest that the use of social networks in the educational process can be helpful in increasing the quality of education and making it accessible to more students. In order to clarify the students’ opinions, a survey was conducted among students from various majors at leading universities in two Central Asian countries, Kyrgyzstan and Kazakhstan. The main objective of the study was to deter ...More
The progresses in technology lead to advances in e-learning as well as lead to increase in number of learners participating in e-learning courses. Richness of online resources, activities, and communication tools presented in online courses can be one of the factors that influence learners' attendance to e-learning. In this regard, the initial purpose of this study was to identify online resource, activity and communication tool preferences of learners studying in two public universities: one located in Turkey and one located in Kyrgyzstan. At the second stage, comparison of Turkish and Kyrgyz ...More