In this study, it is aimed to determine family profiles of children based on their digital game addiction. Firstly, digital gaming addiction scale was applied to children and digital game addiction levels of children were determined. Then, Qualitative data were gathered through semi-structured interviews with the parents of the children who have the highest and the lowest gaming addiction scores at digital game addiction scale. The sample of the study consisted of the children who were attending in the secondary school (5th, 6th, 7th and 8th grades) of a private college in the central district of Van province in the second term of 2015-2016 academic year and the parents of these children. Mixed method was used in the study. The data collected to describe the levels of digital game addiction of children constitute the quantitative dimension of the research; on the other hand, interviews with parents whose children are addicted to digital games and parents with children who are not addicted to digital games constitute the qualitative dimension of the research. In the analysis of quantitative data, descriptive statistics, two-step cluster, confirmatory factor analysis were used, and in the analysis of qualitative data, sub-themes and main themes were formed by using content analysis. The two groups were compared according to the findings. Some factors such as the crowded structure of the family, rules, and limits in the family, the status of caring for the child, social activities carried out by the family, and the awareness of the technology and harms have been found to be the determinants of whether children are addicted to digital games.

Several variables have been examined in relation to student engagement at universities in the past decades. However, the number of studies conducted especially with larger groups of participants to examine certain variables such as gender, accommodation, transportation to campus, and reasons for university choice is limited. In addition, there is almost no such research carried out in the context of the Turkish society. The study aimed to examine the relationship between student engagement and campus climate with a large group of participants from all over Turkey. The study was carried out using the survey research design. The research sample covered all the geographical regions in Turkey. The sample included 7,802 students in total. In the study, the Demographic Variable Form, Student Engagement Scale, and Campus Climate Checklist were used as the measurement tools. Finally, a significant correlation was found between the university campus climate and student engagement.

This study aims at examining the relationships between technology integration, campus facilities, and student engagement at 26 state universities in Turkey. In the study, the quantitative method was employed, specifically the correlational research method. The research sample involved 5,534 female students (71.21%) and 2237 (28.79%) male students, amounting to 7771 participants in total. The data of this study were collected by means of Student Engagement Scale, Student Perception Scale for Faculty Members’ Technology Integration Efficacy, and Campus Climate Checklist. In addition, Pearson correlation analysis was conducted on the collected data. The results revealed that in every university, there was a positive relationship between student engagement and the students’ scores in regards to benefits from the campus facilities. Another important result was that the positive relationship between student engagement and the students’ perceptions regarding technology integration efficacies of the faculty members was proven for all universities involved in the study.