The aim of this study was to examine the psychometric properties of the Social Efficacy and Outcome Expectations Scale (SEOES) on Turkish. The sample group included two groups of university students (ns= 440, 359). The validity of the scale was assessed using exploratory factor analysis, confirmatory factor analysis and concurrent validity, and the reliability was assessed using Cronbach Alpha’s internal consistency coefficient, test-retest method and item discrimination. The findings obtained from the exploratory factor analysis showed that 51.2 percent of total variance of the scale was explained and the scale consisted of two sub-dimensions like the original one. Confirmatory factor analysis indicated an acceptable fit to the data. The concurrent validity of the SEOES was respectively studied using (.65) Scale of Perceived Social Self-Efficacy; (.29) Satisfaction With Life Scale; and (-.36) UCLA Loneliness Scale. As for the scale’s reliability, the internal consistency was determined to be .91; .92 for Social Efficacy Scale; and .81 for Outcome Expectations Scale. The results of test-retest result (.90) and the findings of item analysis showed that the items in Turkish version of the scales were compatible with the original one. The present results provide evidence supporting the validity and reliability Turkish version of the SEOES.

In this study it is aimed to analyze the smartphone addiction, fear of missing out (FoMO), and perceived social and academic competence that predict social media addiction on high school students. Study group consists of 296 (136 females and  160 males) high school students studying in Anatolian High Schools and Vocational High School in Mersin during the 2017-2018 academic year. Simple random sampling was used. In the study, descriptive survey method was used. As data collection tools, Personal Information Form, Social Media Addiction Scale, Smartphone Addiction Scale, Fear of Missing Out Scale (FoMO), Perceived Competence Scale developed by Ozer et al. were used. In analyses of data, regression was used. According to stepwise regression analysis, smartphone addiction (β = .34), fear of missing out (β = .26) and perceived academic competence (β = -.12) predict social media addiction level on high school students. As the result of the study, smartphone addiction, fear of missing out, and perceived academic competence predict social media addiction on high school students. When the smartphone addiction level and fear of missing out decrease, and also perceived academic competence improve, students’ smartphone addiction levels reduce.

This study aims to reveal the prevalence of internet addiction among Kurdish university students and its association with self-control. 623 students form 19 universities in various colleges and schools, 335 boys (54 %) and 288 (46%) girls took part in this study in which they were asked to complete an internet addiction and self-control self-report. The findings indicated that the prevalence of internet addiction among Kurdish university population is very high, concluding that 36.5% of the participants met the internet addiction criteria. In addition, it was found that males and females are equally susceptible to becoming addicted to the internet. The results also showed that internet addiction correlates negatively to the self-control and positively with impulsive behaviour. Based on the regression analysis, 15.7% of the variance of internet addiction can be explained by self-control. Further study should investigate the effect of internet addiction on discomfort intolerance.

In recent years, cyberbullying, which can be considered as a new form of bullying, has emerged as a result of developments in the field of technology and communication. Cyberbullying has become a social problem which has affected individuals’ lives negatively. The key to success in the elimination of cyberbullying and its negative effects lies in cyberbullying sensitivity. The present study aims to analyze teachers’ cyberbullying and cyber victimization experiences and levels of cyberbullying sensitivity based on some variables which are supposed to develop awareness regarding cyberbullying. Using survey as a research model, the present study focused on 346 teachers working at schools affiliated with Ministry of National Education in Tasova District located in Amasya (Turkey). “Personal Information Form”, “The Revised Cyberbullying Inventory for University Students” and “Cyberbullying Sensitivity Scale” were used as data collection tools. SPSS package program was used for data analysis and frequency and percentage values of demographic variables. Independent T test was used for gender and marital status variables, and One-Way ANOVA test was used for age and level of education variables. The findings of the present study revealed that most of the participants used social media websites actively and spent at least 2 or 3 hours on these websites on a daily basis. Teachers usually have a Facebook and/or Instagram account, and benefit from social media for research purposes and playing games. It can be stated that teachers have a significantly high level of cyberbullying sensitivity. However, it was also indicated that even though participants worked as a teacher, they still did cyberbully and suffered from cyber victimization in the past. While a significant difference was observed only in the dimension of cyber sensitivity in terms of marital status, age and level of education, a significant difference wasn’t observed in the dimensions of cyberbullying, cyber victimization and cyber sensitivity in terms of gender.

Social media (SM) use is a rapidly growing phenomenon among Millennials. Thus, a growing body of studies have explored the beneficial applications and negative consequences of their use in an increasingly virtual world. The current study aimed to develop and validate a scale that measures university students’ motives for using SM from a psychological and social perspective. In Study 1 (N = 316), the psychometric properties of SM motives were examined. The estimated factorial structure was validated in Study 2 (N = 200). The Study 1 results showed two active personal motives scales (i.e., self-actualization and purposive motives), one passive motive scale (i.e., enjoyment), one active contextual motive scale (i.e., self-enhancement), and a contextual (neither active nor passive) motive scale (i.e., a factor of convenience). Study 2 findings confirmed this factorial structure. Construct validity was supported with significant differences between three types of users (i.e., productive, consuming, and disinterested) on their motives (151 words).

In the last decade, learning from computer-supported collaborative technologies has been combined with social media (SM) and this has gotten a lot of attention. Also, there is a growing body of literature that suggests that SM is gaining a lot of attention because it has the perceived pedagogical affordances that could be used as a potential tool for teaching and learning. These perceived pedagogical affordances allow people to interact, communicate, collaborate and share resources among others. Most of the studies published on SM in education have focused on higher education (colleges and universities) with a relatively small body of literature on secondary education. Despite the wide use of SM in education, its benefits are still not clear across studies. We conducted a systematic literature review using the EBSCOhost database. Screening of abstracts and full texts resulted in the selection of 10 papers for the review. Seven approaches to using SM in learning in high schools have been identified: (1) interaction, (2) information dissemination, (3) communication, (4) collaboration, (5) teaching, learning, and resource sharing, (6) socialization, and (7) entertainment. Most of the articles claimed that the educational use of SM has a strong positive effect on social skills, but the evidence presented was rather weak. Subject-specific outcomes were not in focus in using SM in education. All studies followed a constructivist philosophical perspective. Based on this we provide a theory-based scenario for using SM in learning social skills and subject-specific outcomes.

Students are aware of the use of technology in the learning process, and they are generally referred to as digital natives. However, there are challenges associated with the availability of internet access as a learning process to both university students and teachers inside and outside the classroom. One of such challenges is students’ ability to access unrelated activities which is known as cyberslacking. In the education sector, this process refers to the use of technology for unrelated academic activities. Studies associated with this activity are significantly conducted in western countries, but it is still limited to the Indonesia education environment. Therefore, this research aims to investigate the cyberslacking behavior of students in Indonesia and its relationship to their academic performances. It also determines the relationship between media multi-tasking efficacy and self-regulated learning. The results showed that there is a significant influence between media multi-tasking efficacy and self-regulated learning with cyberslacking. Furthermore, there is a negative influence between cyberslacking and the academic performance of students in Indonesia. This research adds references to studies on cyberslacking in the scope of education and provides input for universities to develop the management of information and communication technology used in the learning process.

The pandemic era has caused changes in the learning system. The situation demanded online learning and triggered students to have learning difficulties. The research aims to examine the impact of social media, social environment, and student learning potential on student learning difficulties. This study utilizes a quantitative approach. The respondents were university students experiencing online learning in West Java, Indonesia. A questionnaire validated by four experts was distributed to 539 of them. Accommodating structural equation modeling (SEM) by evaluating the measurement and structural models was used in data analysis. This study revealed that the instrument had good construct validity and reliability. A good instrument will produce a good measurement process so that the instrument can get the data needed. Hypothesis testing shows that high media activity can inhibit students from learning. However, social media activity directly influences learning difficulties. Meanwhile, the variables of learning potential and social environment positively influence student learning difficulties directly or indirectly. There are a few things to note on learning potential, social environment, and social media to delve into their influences on students' learning difficulties.

The evolution of the COVID-19 pandemic has affected various aspects of human life, with numerous activities carried out through networks, including education. Lecturers need to change their teaching strategies to make students able to accept the material provided. On the other hand, students must manage their lives without being limited by space and time to avoid stress and cyberloafing, especially in the academic field. Cyberloafing is the act of accessing the internet during study hours for personal interests. Therefore, this research aims to determine the effect of academic stress on cyberloafing and whether fatigue is a mediating variable between both factors. Data were collected from 284 students studying in Bandung, West Java, Indonesia. The results showed that the academic stress felt by students has a positive and significant effect on cyberloafing behavior. Although fatigue positively affects both factors, it does not mediate the relationship between them. The managerial implications in this research are expected to be used as material for evaluating online learning methods for students, as well as to make them aware of the negative impact of cyberloafing behavior during lectures.

Digital competence entails the healthy, safe, and responsible use of digital technologies to take engage in society, to learn, work and to interact with. However, the use of digital devices is not exempt of risks. The objectives of this study were to analyze the mediating effect of fear of missing out (FoMO) on phubbing and nomophobia, and to explore the perception of the use of Internet-connected devices among 522 Spanish university students, with an average age of 27.11 years. The 80.8% are women and 68.2% study degrees related with Educational Sciences. A mixed-methods approach was used, combining bivariate correlation with structural equation modelling (SEM), and qualitative content analysis. SEM analysis revealed that FoMO had a significant effect on nomophobia and phubbing. Qualitative content analysis underlined that the time spent, problematic use, and sense of dependence were the main concerns for participants. It is emphasized that the plethora of ICT opportunities exposes individuals to risk contexts, necessitating media education to mitigate psychological and social consequences stemming from Internet risks.

The wide use of the Internet of Things (IoT) in all spheres of life has led to a surge of cyberbullying among learners worldwide. That is why it cannot be denied that underlying factors, manifestations, consequences, and preventive measures of cyberbullying improve the welfare and overall mental development of students. This systematic literature review examines the causes, effects, and preventive measures of cyberbullying based on empirical studies conducted on learners in various situations. The review will focus on existing material published between 2015 and April 2024. For the inclusion and exclusion of literature, the Scopus online database was employed, along with the guidelines of the PRISMA model. Of 1004 studies, 51 were closely reviewed to determine the responses to the objectives of this study. NVIVO-12 was used for both thematic and content analysis in this study. The results show that there are 29 causes, 12 forms, 31 effects, and 41 different preventives for cyberbullying. The results of this study will not only enhance the comprehension of various concerns for parents, guardians, policymakers, educators, and governments but also provide valuable insights to researchers for addressing this issue.

Psychological capital (PsyCap) emerges as a pivotal asset for mitigating student burnout in college settings, as it bolsters their learning empowerment and engagement. However, there have been inadequate empirical studies investigating the significance of these resources in promoting engagement and empowerment, ultimately leading to a reduction in students’ burnout within the context of higher education. To bridge this gap, we examined the extent to which PsyCap predicts student burnout through its impacts on academic engagement and learner empowerment. The sample of the study was college students (N = 562) who completed a battery of self-report questionnaires measuring their PsyCap, academic engagement, learner empowerment, and student burnout. We employed hierarchical multiple regression analyses and PROCESS macro to ascertain prediction and serial mediation effects. The results substantiated the hypotheses that PsyCap positively related to learner empowerment and academic engagement while negatively associated with student burnout. Further, students with higher levels of learner empowerment and engagement reported lower levels of burnout in their academic studies. The mediational results also revealed that engagement and learner empowerment acted as significant serial mediators between PsyCap and student burnout. The study’s findings underscore the critical significance of PsyCap within higher education, particularly in nurturing learner empowerment, and engagement, thereby reducing student burnout.

This research investigated the validity of measurement and causal model of online scam protection behavior (OSPB) among at risk Thai students. The sample comprised 286 high school students from three demonstration schools under the University. Data were analyzed using descriptive statistics, confirmatory factor analysis (CFA), and structural equation modeling (SEM). The factor loadings for all items satisfied the standard criteria with scores ranging from .40 to .80, item-total correlations ranging from .405 to .718, and Cronbach’s alpha coefficients ranging from .773 to .928. The modified model demonstrated a better fit with the empirical data (χ² = 47.62, df = 37, p = .113,  χ²/df = 1.287, RMSEA = .032, SRMR = .028, GFI = .97, CFI = 1.00, NFI = .99). All factors: a) awareness of online risks, b) inhibitory control, c) game-based learning, d) social support, and e) motivation to prevent online scams can predict 81% of OSPB. The motivation to prevent online scams strongly influenced OSPB, with an effect size of .60. Additionally, all factors can predict 88% of the motivation for online scam prevention, suggesting that Protection Motivation Theory (PMT) is a suitable framework for understanding and evaluating Thai students' preventive behaviors in online deception scenarios. This newly developed instrument is highly reliable and can be effectively used by researchers and educators to assess the risk of online fraud victimization among high school students.