It is well acknowledged that the roles of both school administrators and teachers have changed due to the global education crisis caused by COVID-19. During this challenging and critical period, it is essential to investigate how those working in the education sector who undertake strategic tasks for sustainable education are affected by the new conditions brought about by the COVID-19 pandemic. This study investigates the interrelationships between COVID-19 quality of life, loneliness, happiness, and Internet addiction. The research was designed according to the relational survey model, was conducted with 432 school administrators and teachers working in K-12 schools. The research data was collected through online questionnaires, and structural equation modelling (SEM) was used to test and analyze proposed hypotheses. The study’s results revealed a positive relationship between the COVID-19 related quality of life and loneliness, and that loneliness significantly positively predicts Internet addiction. In this context, due to the impact of COVID-19 on the life quality, the participants’ loneliness levels significantly increased, and this increase in loneliness caused them to become addicted to using the Internet. Interestingly, it was also determined that a positive relationship exists between loneliness and happiness and that as the loneliness of individuals increased, their level of happiness also increased. In many studies conducted prior to the COVID-19 pandemic, a negative relationship was revealed between loneliness and happiness. In the current study conducted during the pandemic, the relationship between the two variables was positive. SEM results revealed that COVID-19 directly affects the quality of life, Internet addiction, loneliness, and happiness of school administrators and teachers. Furthermore, it was determined that Internet addiction indirectly affects the relationship between loneliness and happiness.

The pandemic caused by the COVID-19 virus has resulted in inevitable radical changes across almost all areas of daily life, with the pandemic having revealed perhaps the greatest crisis humanity has faced in modern history. This study aims to provide thematic and methodological recommendations for future sustainable research programs through a bibliometric analysis of publications focused on management, leadership, and administration related to COVID-19. The data for the study were obtained from the Web of Science Core Collection (WoSCC) bibliographic database and then analyzed according to thematic content analysis and bibliometric methodology. The study’s units of analysis include countries, journals, keywords, research models, sample/study group, and time to publication. VOSviewer software and visualization maps were used to report the findings obtained from the analyzed data. When the study’s results are evaluated regarding the number of related publications and total citations, it can be revealed that Anglo-American-, Chinese-, and European-centered dominance continues in COVID-19-related studies. The vast majority of publications on this subject area are concentrated in the field of health. In addition, the study’s findings revealed that the examined articles were generally published in journals considered as prestigious, have high impact factors, are published in the English language, and with articles published in a short time after a much-reduced editorial/review and publishing process. Unlike previous bibliometric reviews, this research comprehensively analyzed the management-, leadership-, and administration-oriented publications related to COVID-19 with a holistic approach, providing essential findings and recommendations for future sustainable thematic research opportunities.

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This study was conducted in order to analyze the relation between high school students' Facebook addiction and loneliness levels. The study was conducted with the relational screening model. The sample of the study consists of 712 randomly selected high school students. The data was collected using the Bergen Facebook Addiction Scale (BFAS) to analyze the students' Facebook tendencies and with the UCLA Loneliness Scale to analyze the students' levels of loneliness. Data was analyzed with descriptive statistic instruments along with t-test, ANOVA test, LSD test, and Correlation Analysis. Research findings suggest that the Facebook addiction levels of the high school students in the sample are rather low. Analyses conducted regarding the gender variable indicate that there is no relationship between Facebook addiction levels and the time spent on Facebook. Findings show that students most commonly share photographs and videos. This suggests that students use Facebook as a leisure pastime. Also, analyses indicate that there is a statistical significant relationship between the time participants spend on Facebook and their Facebook addiction scores. Findings of the study suggest that both male and female students' loneliness scores are low. In addition, the Correlation Analysis conducted to determine participants' Facebook addiction and loneliness levels was examined and no statistical significant relationships were found. According to the findings, it can be asserted that the participants of this study are not in the risk group regarding their Facebook addiction and loneliness levels.

Academic self-efficacy, academic amotivation, attitude toward the teaching profession, and classroom management anxiety are four of the most significant factors for both teacher training and performance because these psychological and behavioral constructs are first developed during the initial training, and reflect on the actual teaching quality of teachers. Therefore, investigation into their development and relationships, particularly with regard to prospective teachers, is significant both for the theory and practice of teaching. Hence, the current study aims to explore the casual relationships between these variables with a sample of prospective mathematics teachers, using the structural equation modelling (SEM). The participants were selected using simple random sampling method from prospective mathematics teachers studying at educational faculties of seven universities in different regions of Turkey. The data were collected using the academic amotivation scale, academic self-efficacy scale, attitude toward the teaching profession scale, classroom management anxiety scale, and a personal information form developed by the researchers. Data obtained from 581 participants were analyzed using path analysis. The findings showed that prospective mathematics teachers had a positive attitude toward the profession, and were eager to teach. Their academic self-efficacy predicted their attitude toward the teaching profession. Similarly, prospective mathematics teachers’ attitude toward the teaching profession correlated negatively with their academic amotivation. In other words, as prospective mathematics teachers’ attitude scores toward the profession increased, their academic amotivation scores decreased. However, prospective mathematics teachers had a high level of classroom management anxiety. Interestingly, prospective mathematics teachers with a positive attitude toward the profession experienced higher levels of classroom management anxiety. The findings mostly supported previous results in the literature. Implications were suggested both for teacher training and practice of quality teaching. MSC: 97B50

The purpose of this study is to adapt the Mentoring Relationship Effectiveness Scale to Turkish, and to conduct validity and reliability tests regarding the scale. The study group consisted of 156 university science students receiving graduate education. Construct validity and factor structure of the scale was analyzed first through exploratory factor analysis, then with confirmatory factor analysis. One item was deleted from the scale after the exploratory factor analysis and the scale was observed in its original one dimensional form. The confirmatory factor analysis indicated that the one dimensional model of the scale was acceptable. Reliability of the scale was examined with test-retest and internal consistency (Cronbach Alpha) methods. The internal consistency coefficient for the whole scale was 0.936. The reliability coefficient for the test-retest, which was carried out two weeks apart, was 0.89. The findings suggest that Mentoring Relationship Effectiveness Scale is sufficiently reliable and valid for science education of graduate students.

The inevitable digitalization of workplaces in the present era, generally as a result of technological developments, has caused a paradigm shift, along with new innovative business models and business behaviors, which has required leaders to possess certain digital skills for sustainable corporate performance. Hence, studies on digital leadership have attracted the attention of academics and practitioners worldwide, with many studies having been conducted on the topic. However, a comprehensive analysis of the intellectual architecture, knowledge structure, and thematic evolution of the digital leadership field of research using science mapping tools has yet to be conducted. The current study, therefore, aimed at reviewing the intellectual structure and evolution of the digital leadership field through a bibliometric and science-mapping analysis. This study used digital leadership as an umbrella term comprising leadership styles such as e-leadership, virtual leadership, technology leadership, and leadership 4.0, which have similar meanings and can be used interchangeably. With this purpose, bibliometric performance and science mapping analysis was performed on articles related to the research field that were retrieved from the Scopus database using SciMAT software (version 1.1.04). The results of the study revealed that the scope of digital leadership research is gradually expanding and diversifying and that publication output is increasing steadily. In addition, period-based analysis showed that the technology management theme during the first period, the virtual teams and technology themes during the second period, and the COVID-19, virtual reality, and digital technologies themes during the third period emerged as the motor themes and formed the focus of research in this field. Thematic evolution analysis showed that virtual leadership during the first and second periods, virtual teams during the second period, e-leadership and technology during the second and third periods, and digital leadership, COVID-19, and virtual reality during the third period, along with technology leadership in all three periods were all noteworthy as well-developed research themes. These findings enable a better understanding of the research field of digital leadership and provide a reference for future research by revealing the conceptual structure and thematic evolution of the digital leadership knowledge base.

Artificial intelligence (AI) is one of the ground-breaking innovations of the 21st century that has accelerated the digitalization of societies. ChatGPT is a newer form of AI-based large language model that can generate complex texts that are almost indistinguishable from human-generated text. It has already garnered substantial interest from people due to its potential utility in a variety of contexts. The current study was conducted to evaluate the utility of ChatGPT in generating accurate, clear, concise, and unbiased information that could support a scientific research process. To achieve this purpose, we initiated queries on both versions of ChatGPT regarding digital school leadership and teachers’ technology integration, two significant topics currently discussed in educational literature, under four categories: (1) the definition of digital leadership, (2) the digital leadership skills of school principals, (3) the factors affecting teachers’ technology integration, and (4) the impact of digital leadership on teachers’ technology integration. Next, we performed a comparative analysis of the responses generated by ChatGPT-3.5 and ChatGPT-4. The results showed that both versions were capable of providing satisfactory information compatible with the relevant literature. However, ChatGPT-4 provided more comprehensive and categorical information as compared to ChatGPT-3.5, which produced responses that were more superficial and short-cut. Although the results are promising in aiding the research process with AI-based technologies, we should also caution that, in their current form, these tools are still in their infancy, and there is a long way to go before they become fully capable of supporting scientific work. Meanwhile, it is significant that researchers continue to develop the relevant knowledge base to support the responsible, safe, and ethical integration of these technologies into the process of scientific knowledge creation, as Pandora’s box has already been opened, releasing newer opportunities and risks to be tackled.