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    Determination of secondary school students' levels of sensitivity towards cyberbullying and cyberbullying behaviour
    (Ozgen Korkmaz, 2020) Gündüz Ş.; Akgün F.; Özgür H.
    The development of technology and especially the changes and innovations experienced in the development of mobile technologies have increased the use of such technological devices in the society. Mobile technologies and smart phones among them have positive effects both in social life and academic life, alongside situations that cause some negative consequences as a result of intensive use of such technologies. Cyberbullying behaviour, which aims to harm others' lives by using technological devices, comes to the forefront among these problems. Therefore, this study aims to investigate engagement in cyberbullying behaviour and the sensitivity towards cyberbullying, which is a common behaviour especially among secondary school students. The study was carried out with 747 secondary school students studying in the first and second year in the fall term of the 2019-2020 academic year. “Cyberbullying Scale” and “Sensitivity towards Cyberbullying Scale” were used for data collection. Descriptive statistics, Mann Whitney U and Kruskal Wallis H and Spearman rho tests were used to evaluate the data that were found not to show normal distribution. As a result of the study, it was determined that the students' levels of engagement in cyberbullying behaviour were “low”, whereas their sensitivity levels towards cyberbullying were “high”. In the study, it was revealed that there is a difference between students' engaging in cyberbullying behaviour and their sensitivity towards cyberbullying in terms of gender and grade variables. While in the study it was revealed that difference. © 2020, Ozgen Korkmaz. All rights reserved.
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    Relationships between computational thinking skills, ways of thinking and demographic variables: A structural equation modeling
    (International Journal of Research in Education and Science, 2020) Özgür H.
    The aim of this study is to determine the extent at which students' computational thinking (CT) skills are explained by certain variables. To this end, the existence of explanatory and predictive relationships between students’ CT skills and the variables in question has been examined and Structural Equation Model was employed for building a model in order to establish whether the variables predict students' CT skills or not. A correlational survey method was used in this research and the data collection tools of “Personal Information Form”, “Computational Thinking Skills Scale” and “Thinking Ways Scale” were administered to 405 students who were studying in 5th-12th grades in the 2018-2019 academic year in various schools in the Province of Edirne, Turkey. According to the research results, it was determined that CT skill was predicted by different ways of thinking; as well as other variables such as academic achievement in math, science and Information Technology (IT) courses, IT usage experience and level of education. © 2020, International Journal of Research in Education and Science. All rights reserved.