The extensive research conducted over a prolonged period of time has resulted in the rapid advancement of artificial intelligence (AI) technology, leading to the development of numerous applications. One such recent AI application is ChatGPT, an AI chatbot that has gained millions of users in a short span of time, and can read and write texts. The aim of this study is to compare the performance of ChatGPT in an anatomy course with that of undergraduate students. The participants were students from the Faculty of Health Sciences at a state university in Turkey, who had previously taken an anatomy course. The examination was in the form of a multiple-choice test consisting of 40 items. It was found that ChatGPT outperformed the students in the examination.

This study aims to determine students' opinions about the educational use of the Metaverse. The study was conducted during the spring semester of the 2021-2022 academic year. The sample of the study consists of 34 second-year students at the Department of Computer Engineering of a state university in the Southeast Anatolia region of Turkey. The students participated in and evaluated the Metaverse. After the application, interviews were conducted with the participants to find out the students' opinions about Metaverse. In this study, a mixed-method in which both qualitative and quantitative research methods were considered together was used. As a result of the study, it was found that the majority of students had never used Metaverse before, but wanted to use the Metaverse environment in the classroom. Students indicated that Metaverse can be used in many fields and disciplines. However, they were hesitant to use Metaverse in all faculty courses. Students believe that the Metaverse can enhance their knowledge of the subject. In addition, students consider that Metaverse can make the course content more enjoyable and increase their motivation for the course. They also believe that Metaverse has pedagogical advantages and will be used in the classroom in the near future. As for the disadvantages, they mentioned that Metaverse makes learning difficult and distracted, students disconnected from real life, and violates class discipline.

The impact of technology on educational domains has been a subject of research for many years. Therefore, understanding how students perceive and utilize technologies for educational purposes is crucial. Especially in a critical subject like anatomy education, it is essential to employ various models to determine students' technology acceptance and usage levels. One of these models is the unified theory of acceptance and use of technology‐2 (UTAUT2). In this study, the acceptance and usage levels of metaverse technology by students in the context of anatomy education in the metaverse environment have been investigated within the framework of the UTAUT2 model. The study was conducted with students from the Department of Midwifery at the Faculty of Health Sciences during the fall semester of the 2022–2023 academic year. After 6 weeks of anatomy education in the metaverse environment, the student's acceptance and usage levels of metaverse technology were assessed using the UTAUT2 scale. The collected data were analyzed using the partial least squares structural equation modeling method. The research has revealed the technology acceptance and usage levels of students who utilized metaverse technology in anatomy education. According to the obtained results, it has been observed that social influence affects behavioral intention, facilitating conditions influence behavioral intention, and habit variable affects behavioral intention, while habit, in turn, influences usage. Other variables explain behavioral intention with a proportion of 75.30%, whereas other variables explain usage behavior with 54.90%. Upon analyzing the responses to the UTAUT2 scale, it has been concluded that there is the highest level of participation in hedonic motivation. In contrast, the habit variable has the lowest participation level. The findings of this study have enabled the identification of the impacts of metaverse technologies on anatomy and health education. These results will likely contribute to improving the utilization of metaverse technologies in anatomy and health education.

In the present era, the rapidly growing social media trends of the digital age have the potential to affect the psychological well-being of individuals. In this context, understanding how Social Media Addiction (SMA) interacts with various factors is important to understanding its potential impact on individuals' psychosocial health. In particular, the prevalence of SMA and its strong relationship with important variables such as anxiety, depression, stress, academic self-efficacy, general belongingness, and life satisfaction have received considerable attention from researchers and the society. This research aims to address the relationship between SMA and these variables in a holistic manner. The research further explored the relationship between life satisfaction and depression, anxiety, academic self-efficacy, and general belongingness. The research is based on a study conducted with 616 students (388 female and 228 male; 17-32 age range) at a state university in the Southeast of Turkey. Personal information form, Smartphone Addiction Scale, Depression Anxiety Stress Scale, Academic Self-Efficacy Scale, General Belongingness Scale, and Life Satisfaction Scale were used as data collection tools. Using a structural equation modeling approach, the research not only examined the significant relationships but also examined the mediating and moderating effects in more detail. According to the research results, SMA significantly affects academic self-efficacy, general belongingness, depression, stress and anxiety. Academic self-efficacy and general belongingness both impact life satisfaction. However, SMA does not have a significant effect on life satisfaction. Moreover, it is revealed general belongingness play effective roles in the relationship between SMA and life satisfaction. As a result of the research, it was revealed that gender plays a moderating role in the relationship between SMA and life satisfaction. It has been observed that gender has a moderating role in the relationships between academic self-efficacy, general belongingness, depression, anxiety and stress and life satisfaction. Conversely, there is no moderating influence of gender on the impact of SMA on academic self-efficacy, general belongingness, depression, anxiety, or stress. Consequently, the relationships between SMA and other variables play an important role in understanding their effects on individuals' mental health.

This research investigates university students' intentions and behaviors regarding the adoption of mobile learning tools in higher education, with a focus on the Unified Theory of Acceptance and Use of Technology (UTAUT-2) model. A sample of 541 university students from a state university in the Southeastern Anatolia Region of Turkey participated in this study. Structural equation modeling was employed to assess students' mobile learning adoption levels, and statistical analyses were conducted accordingly. The findings indicate a moderate level of mobile learning adoption among the students. The study reveals that students employ various strategies while using mobile tools for learning. Notably, among digital natives, intention to use mobile devices is significantly influenced by habit, hedonic motivation and effort expectancy. Additionally, the study identifies a significant relationship between the use behavior variable and facilitating conditions. The research also examines regulatory effects within the model, demonstrating that age moderates the relationship between habit and use behavior. Furthermore, gender has a moderating effect on the relationship between facilitating conditions and behavioral intention, as well as between hedonic motivation and behavioral intention. Finally, experience moderates the relationship between habit and use behavior, as well as between behavioral intention and use behavior.