The current digital environment offers a unique access opportunity to information, tools, and sources for teachers to educate and teach using digital. It is vital for teachers, who have important roles to raise future generations, to have information literacy and digital literacy skills. It is essential that teachers who educate individuals raised with a technology called the Z generation to have both, information literacy and digital literacy skills. Within this context, the present study aims to define the relationship between information literacy skills and digital literacy skills of teachers in the age of digitalization, in which the transformation has been experienced in the education sector. A cross-sectional survey was used within this study, which was prepared according to the quantitative research paradigm. The research includes random and disproportionate cluster sampling methods and focuses on teachers who worked in a preschool, or in primary, secondary and high schools in the Eastern and Southeast Anatolia Regions in the 2018–2019 academic year. Structural equation modeling was used to determine to what extent teachers’ information literacy skills predict their digital literacy skills. The relationship between the teachers’ information literacy and digital literacy skills was calculated using Pearson product-moment correlation coefficient, and the frequency, percentage, arithmetic mean, and standard deviation values of the data collected from teachers through scales were calculated. As a result of the analysis, one of the results is that the teachers’ information literacy skills affect their digital literacy skills positively.

This study aims to discover the pygmalion effect, which suggests to affect a person's expectations from other people on the actions of those people, by taking the opinions of primary school teachers. In order for the study to reach its goal, triangulation technique, which is a mixed method design, has been used. A likert-type five-point scale made up of 18 items and a semi-structured interview form comprising two open-ended questions have been used to acquire data. The scale has applied to take the opinions of teachers working at the schools administered by 25 managers mastering in a postgraduate program without thesis at the

The environment of competition in the 21st century will drive the organizations in all industries to understand that adapting to today's conditions depends on the talents of their employees and that these talents are required to be managed effectively. In this context, assessing and managing talents effectively is anticipated to become an indispensable part of increasing corporate success in the universities and to secure one's position in the competition environment. The purpose of this study which was initiated based on this anticipation is to fill in the gap regarding talent management in the area and to develop a valid and reliable scale of "Academic Potential Assessment Criteria for PhD Students" that will identify the criteria which reveal talents during the process of identifying talents in the universities. The draft scale that was prepared for this purpose was implemented for the group consisting of PhD students who study in Fırat University and who passed the stage of qualification and instructors who are in the position of consultants for these students. SPSS and Lisrell package programs were utilized for analyzing the obtained data and KGO test, Series Average analysis, Kaiser-Meyer-Olkin factor and Barlett Sphericity test, Exploratory Factor Analysis, Confirmatory Factor Analysis and Cronbach α test were implemented. A valid and reliable scale was obtained as a result of the analyses made..

Billions of data in social media have provided a very influential platform for researchers to make research on data analysis. In the digital age, it has become essential for conducting an analysis of written things in social media in which the individuals express easily themselves without any pressure and for studying big data. It has been known that there are shared subjects on the education like almost every subject on the Twitter platform. Accordingly, it is often shared about many issues relating to education. The purpose of the present study is to analyze shared ideas on the ‘teaching’ profession through this program, which has become popular recently. It was observed that the shared tweets were often related to the current problems about education and Twitter was used as a platform by the individuals to explain their problems. It was a considerable finding that most of the tweets focused on contracted teaching, the positions of appointment, public personnel selection exam and the system of exams, issues about assignation, paid to teach and interview issues that there are a great number of reaction tweets against negative evaluation about vacations of teacher and particularly, against the situations just like damaging the sanctity the teaching profession and these tweets take place in the category the most retweeted. With this research, it is suggested to make analyses on social media platforms with other data mining techniques on the same subject or different subjects, to analyze the shares of institutions and to examine the sharing of the Ministry of National Education