Submitted:
01 February 2023
Posted:
06 February 2023
You are already at the latest version
Abstract
Keywords:
1. Background
2. Theoretical Framework
3. RESEARCH METHODOLOGY
3.1. Research approach
3.2. Study setting, population and sample
3.3. Data collection and analysis method
4. Findings
5. To explore educators’ understandings of cyberbullying among learners
6. Cyberbullying as an online event
7. Asynchronous and anonymous bullying
8. Cyberbullying causes harm
9. To identify educators’ strategies aimed at preventing and managing cyberbullying
10. Intervention strategy: evidence collection
11. Intervention strategy: disciplinary processes
12. Intervention strategy: Grade Controllers and monitoring systems
13. To identify the challenges educators faces in implementing the strategies to curb cyberbullying
Challenge 1: uncooperative parents/ lack of collaborative between school and parents
Challenge 2: monitoring and tracking cyberbullying
Challenge 3: fear of reprisal
14. Discussion and Recommendations
15. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Selkie, E.M., J. L. Fales, and M.A. Moreno, Cyberbullying prevalence among US middle and high school–aged adolescents: A systematic review and quality assessment. Journal of Adolescent Health 2016, 58, 125–133. [Google Scholar] [CrossRef] [PubMed]
- MacDonald, C.D. and B. Roberts-Pittman, Cyberbullying among college students: Prevalence and demographic differences. Procedia-Social and Behavioral Sciences, 2003. [Google Scholar]
- Hamm, M.P. , et al., Prevalence and effect of cyberbullying on children and young people: A scoping review of social media studies. JAMA pediatrics 2015, 169, 770–777. [Google Scholar] [CrossRef] [PubMed]
- Heiman, T. and D. Olenik-Shemesh, Cyberbullying experience and gender differences among adolescents in different educational settings. Journal of learning disabilities 2015, 48, 146–155. [Google Scholar] [CrossRef]
- Nocentini, A. , et al., Cyberbullying: Labels, behaviours and definition in three European countries. Journal of Psychologists and Counsellors in Schools 2010, 20, 129–142. [Google Scholar]
- Eden, S., T. Heiman, and D. Olenik-Shemesh, Teachers’ perceptions, beliefs and concerns about cyberbullying. British journal of educational technology 2013, 44, 1036–1052. [Google Scholar] [CrossRef]
- Menesini, E. and A. Nocentini, Cyberbullying definition and measurement: Some critical considerations. Zeitschrift für Psychologie/Journal of Psychology 2009, 217, 230. [Google Scholar] [CrossRef]
- Nixon, C.L. , Current perspectives: the impact of cyberbullying on adolescent health. Adolescent health, medicine and therapeutics 2014, 5, 143. [Google Scholar] [CrossRef]
- O'Brien, N. and T. Moules, The impact of cyber-bullying on young people’s mental health. 2010.
- Wright, M.F. , et al., Peer attachment and cyber aggression involvement among Chinese, Indian, and Japanese adolescents. Societies 2015, 5, 339–353. [Google Scholar] [CrossRef]
- Barlett, C.P. , et al., Comparing cyberbullying prevalence and process before and during the COVID-19 pandemic. The Journal of Social Psychology 2021, 161, 408–418. [Google Scholar] [CrossRef]
- Shin, S.Y. and Y.-J. Choi, Comparison of Cyberbullying before and after the COVID-19 Pandemic in Korea. International journal of environmental research and public health 2021, 18, 10085. [Google Scholar] [CrossRef]
- Utemissova, G.U., S. Danna, and V. N. Nikolaevna, Cyberbullying during the COVID-19 pandemic. Global Journal of Guidance and Counseling in Schools: Current Perspectives 2021, 11, 77–87. [Google Scholar]
- Cantone, E. , et al., Interventions on bullying and cyberbullying in schools: A systematic review. Clinical practice and epidemiology in mental health: CP & EMH 2015, 11 (Suppl 1 M4). [Google Scholar]
- Kubwalo, H. , et al., Prevalence and correlates of being bullied among in-school adolescents in Malawi: results from the 2009 Global School-Based Health Survey. Malawi Medical Journal 2013, 25, 12–14. [Google Scholar] [PubMed]
- Farhangpour, P., H. N. Mutshaeni, and C. Maluleke, Emotional and academic effects of cyberbullying on students in a rural high school in the Limpopo province, South Africa. South African Journal of Information Management 2019, 21, 1–8. [Google Scholar] [CrossRef]
- Walsh, T.J. , Advancing the Interests of South Africa's Children: A Look at the Best Interests of Children Under South Africa's Children's Act. Mich. St. U. Coll. LJ Int'l L. 2010, 19, 201. [Google Scholar]
- Härkönen, U. , The Bronfenbrenner ecological systems theory of human development. 2001.
- Ryan, D.P.J. , Bronfenbrenner’s ecological systems theory. Retrieved 01, 9 2012. 20 January.
- Lee, C.-H. , An ecological systems approach to bullying behaviors among middle school students in the United States. Journal of interpersonal violence 2011, 26, 1664–1693. [Google Scholar] [CrossRef] [PubMed]
- Hong, J.S. and D.L. Espelage, A review of research on bullying and peer victimization in school: An ecological system analysis. Aggression and violent behavior 2012, 17, 311–322. [Google Scholar] [CrossRef]
- Patton, D.U. , et al., A review of research on school bullying among African American youth: an ecological systems analysis. Educational Psychology Review 2013, 25, 245–260. [Google Scholar] [CrossRef]
- Aspers, P. and U. Corte, What is qualitative in qualitative research. Qualitative sociology 2019, 42, 139–160. [Google Scholar]
- Etikan, I. and K. Bala, Sampling and sampling methods. Biometrics & Biostatistics International Journal 2017, 5, 00149. [Google Scholar]
- Braun, V. and V. Clarke, Thematic analysis. 2012.
- Cilliers, L. and W. Chinyamurindi, Perceptions of cyber bullying in primary and secondary schools among student teachers in the Eastern Cape Province of South Africa. The Electronic Journal of Information Systems in Developing Countries 2020, 86, e12131. [Google Scholar] [CrossRef]
- Mabvurira, V. and D. Machimbidza, Cyberbullying among high school learners in Zimbabwe: Motives and effects. African Journal of Social Work 2022, 12, 98–107. [Google Scholar]
- Mason, K.L. , Cyberbullying: A preliminary assessment for school personnel. Psychology in the Schools 2008, 45, 323–348. [Google Scholar] [CrossRef]
- Hoff, D.L. and S.N. Mitchell, Cyberbullying: Causes, effects, and remedies. Journal of Educational Administration 2009. [Google Scholar] [CrossRef]
- Rachoene, M. and T. Oyedemi, From self-expression to social aggression: Cyberbullying culture among South African youth on Facebook. Communicatio 2015, 41, 302–319. [Google Scholar] [CrossRef]
- Fekkes, M., F. I. Pijpers, and S.P. Verloove-Vanhorick, Bullying: Who does what, when and where? Involvement of children, teachers and parents in bullying behavior. Health education research 2005, 20, 81–91. [Google Scholar] [CrossRef]
- Tustin, D.H., G. N. Zulu, and A. Basson, Bullying among secondary school learners in South Africa with specific emphasis on cyber bullying. Child Abuse Research in South Africa 2014, 15, 13–25. [Google Scholar]
- Ngidi, N.D. and R. Moletsane, Bullying in school toilets: Experiences of secondary school learners in a South African township. South African Journal of Education 2018, 38 (Supplement 1), s1–s8. [Google Scholar] [CrossRef]
- Kolbert, J.B., D. Schultz, and L.M. Crothers, Bullying Prevention and the Parent Involvement Model. Journal of School Counseling 2014, 12, n7. [Google Scholar]
- Axford, N. , et al., Involving parents in school-based programmes to prevent and reduce bullying: What effect does it have? Journal of Children's Services.

| Category | Sub-category | No. of participants |
|---|---|---|
| Race | Black | 5 |
| White | 2 | |
| Indian | 1 | |
| Age | 25 – 39 years | 5 |
| 50 - 54 years | 3 | |
| Teaching experience (years) | 4 - 8 years | 4 |
| 9 - 24 years | 5 | |
| Teaching experience at a secondary school setting | 4 - 9 years | 5 |
| 9 - 14 years | 3 |
| Study objectives | Themes |
|---|---|
| 1. To explore educators’ understandings of cyberbullying among learners. | ∙ Cyberbullying is an online event;∙ Asynchronous and or anonymous; ∙ Cyberbullying causes harm. |
| 2. To identify educators’ strategies aimed at preventing and managing cyberbullying. | ∙ Grade controllers;∙ Evidence collection; ∙ Disciplinary processes and monitoring systems. |
| 3. To identify the challenges educators faces in implementing the strategies to curb cyberbullying. | ∙ Lack of parental involvement;∙ Monitoring and tracking cyberbullying; ∙ Fear of reprisal. |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).