Self-Reported Cybersecurity Competency Of Criminology Students In The Second District Of North Cotabato

Authors

  • Apri Dianne C. Lapis Author
  • John Earl T. Amang Author
  • Romelyn V. Pezana Author
  • Reynan G. Tarife Author
  • Jessa Mae Acuas Author
  • Rico O. Soledad, RCrim. Author

DOI:

https://doi.org/10.68354/742139

Keywords:

Self-Reported Cybersecurity Competency, Criminology Students, Digital Safety Practices, Cybercrime Prevention, Higher Education, Philippines

Abstract

Introduction: The increasing prevalence of cyber threats, including identity theft, online fraud, and data breaches, highlights the need for cybersecurity education among criminology students, who are future professionals in crime prevention and digital investigations. However, limited evidence describes students’ cybersecurity competency and whether it varies across educational and technology-related factors.

Objective: This study aimed to determine the level of self-reported cybersecurity practices among incoming fourth-year criminology students and examine differences according to school, primary device used, and preferred social media platform.

Methods: A cross-sectional descriptive-comparative design was employed among 298 incoming fourth-year criminology students with prior cybersecurity exposure from Central Mindanao Colleges, Colegio de Kidapawan, and Makilala Institute of Science and Technology in the Second District of North Cotabato, Philippines. Data were collected using an adapted self-report Cybersecurity Competency Scale. Descriptive statistics and Kruskal–Wallis tests were used to analyze the data.

Results: Participants reported a very high level of self-reported cybersecurity practices (M = 4.38, SD = 0.75). No statistically significant differences were found according to school, primary device used, or preferred social media platform (all p > .05). However, subgroup sizes were highly unequal, and the findings were based solely on self-reported data.

Conclusions: The findings indicate high self-reported cybersecurity engagement among the selected criminology students, with no significant differences across the examined factors. Although interpreted through Protection Motivation Theory and the Technology Acceptance Model, these theoretical constructs were not directly measured. The findings support sustained, inclusive, and practice-oriented cybersecurity education. Future studies should incorporate objective, performance-based assessments and more balanced samples to determine whether self-reported competency corresponds with actual cybersecurity knowledge and skills.

References

Alharbi, T., & Tassaddiq, A. (2021). Assessment of cybersecurity awareness among students of Majmaah University. Big Data and Cognitive Computing, 5(2), 23. https://doi.org/10.3390/bdcc5020023

Althibyani, H. A., & Al-Zahrani, A. M. (2023). Investigating the effect of students' knowledge, beliefs, and digital citizenship skills on the prevention of cybercrime. Sustainability, 15(15), 11512. https://doi.org/10.3390/su151511512

Anudini, A. K. S. A., Dissanayake, H. M. S. S., & Uwanthika, G. A. I. (2021). Impact of social media-related cybercrimes and preventive precautions. In 14th International Research Conference (p. 460).

Bendler, D., & Felderer, M. (2023). Competency models for information security and cybersecurity professionals: Analysis of existing work and a new model. ACM Transactions on Computing Education, 23(2), 1–33.

Catal, C., Ozcan, A., Donmez, E., & Kasif, A. (2023). Analysis of cyber security knowledge gaps based on cyber security body of knowledge. Education and Information Technologies, 28(2), 1809–1831.

Cleland, J., Alexander, K., & Poobalan, A. (2023). Sampling and recruiting participants. In Starting Research in Clinical Education (pp. 47–56). Wiley Blackwell.

CNNIC. (2022). The 49th statistical report on internet development in China. China Internet Network Information Center. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/

Dapitan, J. U., Butchayo, J. M. M., Palma, J. L. R., Arevalo, M. A., Alvarico, A. B., & Cuevas, J. F., Jr. (2024). Measuring the level of cybersecurity awareness among senior high school students. Mediterranean Journal of Basic and Applied Sciences, 8(2), 208–217.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

European Union Agency for Cybersecurity. (2022). European Cybersecurity Skills Framework. ENISA. https://www.enisa.europa.eu/topics/cybersecurity-education/european-cybersecurity-skills-framework

Floyd, D. L., Prentice-Dunn, S., & Rogers, R. W. (2000). A meta-analysis of research on protection motivation theory. Journal of Applied Social Psychology, 30(2), 407–429.

Frik, A., Kim, J. L., Sanchez, J. R., & Ma, J. (2022). Users' expectations about and use of smartphone privacy and security settings. In Proceedings of the CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3491102.3517504

Hazarika, H. J. (2025). Impact of cybersecurity breaches on social media: A case study on undergraduate students. Alexandria: The Journal of National and International Library and Information Issues. Advance online publication. https://doi.org/10.1177/09557490251340833

Ibrahim, A., McKee, M., Sikos, L., & Johnson, N. (2024). A systematic review of K-12 cybersecurity education around the world. IEEE Access, 12, 59726–59738. https://doi.org/10.1109/ACCESS.2024.3393425

Ikegwu, A. C., Alo, U. R., & Nweke, H. F. (2025). Cyber threats in mobile healthcare applications: Systematic review of enabling technologies, threat models, detection approaches, and future directions. Discover Computing, 28(1), 152.

Jain, A. K., Sahoo, S. R., & Kaubiyal, J. (2021). Online social networks security and privacy: Comprehensive review and analysis. Complex & Intelligent Systems, 7, 2157–2177. https://doi.org/10.1007/s40747-021-00409-7

Jimmy, F. (2021). Emerging threats: The latest cybersecurity risks and the role of artificial intelligence in enhancing cybersecurity defenses. Valley International Journal Digital Library, 1, 564–574.

Karagiannopoulos, V., Kirby, A., Ms, S. O. M., & Sugiura, L. (2021). Cybercrime awareness and victimisation in individuals over 60 years: A Portsmouth case study. Computer Law & Security Review, 43, 105615.

Lugo, R. G., Sütterlin, S., Knox, B. J., Bukauskas, L., Brilingaitė, A., & Maennel, O. M. (2023). The human factor in cyber security education. Frontiers in Education, 8, 1277282.

Mai, P. T., & Tick, A. (2021). Cyber security awareness and behavior of youth in smartphone usage: A comparative study between university students in Hungary and Vietnam. Acta Polytechnica Hungarica, 18(8). https://doi.org/10.12700/aph.18.8.2021.8.4

Morgan, S. (2020). Cybercrime to cost the world $10.5 trillion annually by 2025. Cybersecurity Ventures. https://cybersecurityventures.com/cybercrime-damage-costs-10-trillion-by-2025/

Muhammad, S. S., Dey, B. L., Syed Alwi, S. F., Kamal, M. M., & Asaad, Y. (2022). Consumers' willingness to share digital footprints on social media: The role of affective trust. Information Technology & People. Advance online publication. https://doi.org/10.1108/itp-10-2020-0694

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.

Osumo, L. G., Aguilar, A., Ceniza, A. L., & Javines, J. (2025). Hashtags and politics: A mixed-methods study on Generation Z’s influence of social media on political participation in Makilala, Cotabato. Asia Pacific Journal of Educational Technologies, Psychology, and Social Sciences, 1(2). https://doi.org/10.70847/660413

Partsei, K., Shevchuk, B., Buksar, S., Kurtyak, F., & Barabanchyk, O. (2025). The impact of using mobile apps on student engagement and involvement in the learning process. Periodicals of Engineering and Natural Sciences, 13(1), 219–232.

Parwani, P., Nikose, P., & Rathor, J. (2022). Awareness regarding cyber crime among people. International Journal of Research Publication and Reviews, 3(1), 944–947.

Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change. The Journal of Psychology, 91(1), 93–114. https://doi.org/10.1080/00223980.1975.9915803

Santhosh, T., & Thiyagu, K. (2024). Development and validation of cyber security competency scale for prospective teachers. Journal of Pedagogical Sociology and Psychology, 6(3), 111–124.

Sarfi, M., Darvishii, M., & Zohouri, M. (2023). Why people may view online crimes as less criminal: Exploring the perception of cybercrime. International e-Journal of Criminal Sciences, 18.

Saura, J. R., Palacios-Marqués, D., & Ribeiro-Soriano, D. (2023). Privacy concerns in social media UGC communities: Understanding user behavior sentiments in complex networks. Information Systems and e-Business Management. Advance online publication. https://doi.org/10.1007/s10257-023-00631-5

Tewari, N., & Datt, G. (2021). A study on the systematic review of security vulnerabilities of popular web browsers. In 2021 International Conference on Technological Advancements and Innovations (ICTAI) (pp. 314–318). IEEE.

Umejiaku, N., & Uzoka, N. (2022). An overview of social media related cybercrimes and its legal remedy. Law View.

Zulqadri, D. M., Mustadi, A., & Retnawati, H. (2022). Digital safety during online learning: What we do to protect our student? Jurnal Iqra': Kajian Ilmu Pendidikan, 7(1), 178–191.

Downloads

Published

2026-09-08

How to Cite

Lapis, A. D., Amang, J. E., Pezana, R., Tarife, R., Acusas, J. M., & Soledad, R. (2026). Self-Reported Cybersecurity Competency Of Criminology Students In The Second District Of North Cotabato. Review of Studies on Criminology, Sociology, and Law, 1(1), 1-17. https://doi.org/10.68354/742139