Relationship between Cyberbullying, Motivation and Learning Strategies, Academic Performance, and the Ability to Adapt to University

The Family Context in Cybervictimization: A Systematic Review and Meta-Analysis

The use of Information and Communication Technologies is clearly widespread among adolescents from a young age. Although it poses a significant contribution at the academic, social, and emotional levels, it can also involve a set of important risks, including cyberbullying and, therefore, cybervictimization. Previous studies have pointed out the importance of family context since parental control and family communication emerge as contributors to this phenomenon. Therefore, the aim of the present study was to analyze the influence of family communication on cybervictims and the moderating role of different sociodemographic variables (age, gender, nationality, and culture), as well as social, emotional, and personality variables. In this context, a meta-analysis was performed with a random effects model, using a total meta-sample of 29,093 adolescents (mean age: 14.50 years) distributed in k = 20 samples belonging to nine studies on cybervictimization published in English in Q1 journals between 2015 and 2020. The results showed that family offensive communication is related to cybervictimization. This could be because the affected individuals often use social media to compensate for the deficiencies they perceive within their families, as well as to obtain support, which increases their time spent on the Internet and their exposure to this phenomenon. These findings highlight the need for family and community interventions, not only school-based or individual interventions.

The relationship between parental neglect and cyberbullying perpetration among Chinese adolescent: The sequential role of cyberbullying victimization and internet gaming disorder

Cyberbullying perpetration and victimization have been common public health issues that have impaired the development of adolescent physical and mental health. Abundant research has proven associations between negative parental factors and cyberbullying perpetration. However, there is a paucity of research exploring the impact of parental neglect on cyberbullying and its internal mechanisms. Based on the parental acceptance-rejection theory (PARTheory) and the general aggression model (GAM), the present study constructs a sequential mediation model in which parental neglect is related to adolescent cyberbullying perpetration through cyberbullying victimization and internet gaming disorder (IGD). Using random cluster sampling, a total of 699 middle school students (M age = 14.18 years, SD = 1.22, and 324 boys) were recruited from five schools in three provinces on mainland China. The participants completed questionnaires regarding parental neglect, cyberbullying perpetration, cyberbullying victimization, and IGD. The results of structural equation modeling indicated that parental neglect was positively associated with cyberbullying perpetration. The mediating effects of cyberbullying victimization and IGD in this relationship are significant both individually and jointly. The current findings have important implications for enlightening families and schools to pay particular attention to adolescents' experiences of parental neglect and provide them with timely feedback and assistance. This will contribute to the prevention and reduction of adolescent involvement in cyberbullying perpetration.

Digital Media Used in Education: The Influence on Cyberbullying Behaviors among Youth Students

Students, colleagues, and other members of society are increasingly using digital media. Students utilize digital media for a variety of reasons, including communication, gaming, making new friends, and simply being curious. However, there are some disadvantages to using digital media. Cyberbullying, cyberharassment, and cyberstalking are examples of useful digital media activities that can have a negative impact on digital media users and lead to societal issues. Surprisingly, limited studies have investigated cyberbullying in depth, utilizing a broad and varied sample of Middle Eastern institutions. As a result, the purpose of this study is to fill a research vacuum by questioning students' use of digital media for cyber involvement. This research aims to create a model for assessing the ethical consequences of behaviors that directly impact students' psychological health because of their use of digital media. The questionnaire looked at how people used digital media to engage in cyberbullying and cyber engagement, the ethical implications of bullying, and being harassed, stalked, and bullied. The study employed a quantitative questionnaire to collect data to achieve the research goal. It was given to 1012 students who are digital media users. Partial least squares (PLS) and structural equation modeling (SEM) were used to examine the data. Considering the empirical data, nearly half of the participants admitted to being harassed, stalked, or bullied on different digital platforms. The evaluation of discriminant validity is a prerequisite factor for examining possible variables' relationships. The goodness-of-fit index indicates that the model is well-fit. Through the established model, decision-makers and school administration would be able to implement measures that would effectively reduce cyber harassment among students and improve the digital media usage experience.

Bullying in Adolescents: Differences between Gender and School Year and Relationship with Academic Performance

School bullying is a phenomenon of unjustified aggression in the school environment that is widespread throughout the world and with serious consequences for both the bully and the bullied. The objectives of this research were to analyze the differences between the different bullying categories by gender and academic year in primary and secondary education students, as well as their relationship with academic performance. To categorize students according to their bullying experiences, the European Bullying Intervention Project (EBIPQ) Questionnaire was used. The Chi-square test was used to compare the scores obtained by the students in the EBIPQ based on gender and academic year, and the one-way ANOVA test was used to analyze its relationship with academic performance. Research participants were 562 students from the 5th (n = 228) and 6th (n = 186) primary school years and the 1st (n = 134) and 2nd (n = 94) secondary school years. They were males (50.5%) and females (49.5%) ranging in ages from 10 to 15 years old (mean = 11.66, standard deviation = 1.206). The results showed statistically significant differences in gender and academic year, indicating a greater number of boys in the role of the bully/victim and girls in that of non-bully/non-victim. The most aggressive students were in the 2nd year of ESO (12–13 years old). Regarding academic performance, statistically significant differences were obtained that confirm the hypothesis that performance or average grade varies according to the category of bullying in which students find themselves. The academic performance of the non-bully/non-victim and those in the victim category was found to be higher than that of bullies and bully/victim students.

Cyberbullying and Associated Factors in Member Countries of the European Union: A Systematic Review and Meta-Analysis of Studies with Representative Population Samples

The aim of this study is to conduct a systematic review and meta-analysis to summarise the current state of empirical research and establish an up-to-date estimate of the prevalence of cyberbullying through the gathering of self-reported experiences from representative population samples from EU countries. Bibliographic searches were conducted on main electronic databases for studies until November 2021. We considered observational studies that provided data on cyberbullying prevalence and/or associated factors. Seven studies with data from 25 countries were included. Rates ranged between 2.8–31.5% for cybervictimization, between 3.0–30.6% for cyberperpetration, and between 13.0–53.1% for cyberbystanding. The rate of cybervictimization perpetration was 4%. Meta-analysis-pooled prevalence showed rates of 9.62% and 11.91% for cybervictimization and cyberperpetration, respectively. Given the large variation in the rates seen between the different examined studies, in addition to the increase over recent years in the prevalence rates of the different examined dimensions of cyberbullying, it would be useful to deepen research into the causes of these differences and the factors associated with each of the dimensions. This should be performed through populational surveys which enable the collection of a greater quantity of more consistent information with a view to designing prevention and intervention CB programs that are targeted and adapted towards the characteristics of the target population.