GAMIFICATION AND SIMULATORS IN THE TRAINING OF CYBERCRIME INVESTIGATORS
https://doi.org/10.52425/25187252_2025_38_180
Abstract
With the rapid growth of digital threats, law enforcement agencies face the need to modernize the training of specialists involved in the investigation of cybercrime.
The article considers the potential of using gamification and simulators as effective tools of practice-oriented training.
Psychological, pedagogical and organizational grounds for the application of these approaches are substantiated, and successful cases from international practice (USA, EU, Israel, Singapore) are presented. Economic efficiency and legal limitations are assessed.
Special attention is paid to the possibilities of introducing such solutions in Kazakhstan and, first of all, in law enforcement educational institutions, including the adaptation of national standards, requirements for digital platforms and the creation of a legislative framework.
The results of the study are of practical value for curriculum developers of scientific and educational institutions and can be used in the training of cyber specialists.
About the Author
A. A. KaliyevKazakhstan
Kaliyev Askar Abuzhanovich – Associate Professor of the Department of Special Training in Countering Global Threats at the Institute of Professional Training of the Law Enforcement Academy under the Prosecutor General’s Office of the Republic of Kazakhstan.
Kosshy
References
1. Jordon, H. Gamifying Cybersecurity: A Study of the Effectiveness of a Specific CTF Platform / H. Jordon, J. Wallace. – Queen’s University Belfast, 2023. – 22 p.
2. Matthews, S. Federal Bureau of Investigation. High-Technology Environment Training (HiTET): Embracing Modern Challenges // FBI Law Enforcement Bulletin. Washington, D.C. – 2023. – № 5. – Pp. 3-8.
3. Desi, Je.L. Motivacija i lichnost'. Teorija i praktika / Je.L. Desi, R.M. Rajan. – M.: Piter, 2004. – 320 s.
4. Chiksentmihaji, M. Potok: Psihologija optimal'nogo perezhivanija / M. Chiksentmihaji. – M.: Al'pina non-fikshn, 2021. – 368 s.
5. S. Cordey. Trend Analysis: The Israeli Unit 8200 — An OSINT-based study [Jelektronnyj resurs] – Rezhim dostupa: https://css.ethz.ch/content/dam/ethz/special-interest/gess/cis/center-for-securitiesstudies/pdfs/Cyber-Reports-2019-12-Unit-8200.pdf (data obrashhenija: 05.08.2025).
6. Kirkpatrick, D.L. Evaluating Training Programs: The Four Levels; 3rd ed. / D.L. Kirkpatrick, J.D. Kirkpatrick. – San Francisco: Berrett-Koehler Publishers, 2006. – 226 p.
7. Shadish, W.R. Experimental and Quasi-Experimental Designs for Generalized Causal Inference / W.R. Shadish, T.D. Cook, D.T. Campbell. – Boston: Houghton Mifflin, 2002. – 623 p.
8. Ihichr, A. A Systematic Review on Assessment in Adaptive Learning: Theories, Algorithms and Techniques / A. Ihichr, et al. // International Journal of Advanced Computer Science and Applications. – 2024. – Vol. 15. № 7. – Pp. 855-868.
9. Ruberto, A.J. Adaptive simulation utilizing a deep multitask neural network / A.J. Ruberto, et al. // JMIR Medical Simulation. – 2021. – Vol. 3. No. 2. – Pp. e22391-1–e22391-14.
Review
For citations:
Kaliyev A.A. GAMIFICATION AND SIMULATORS IN THE TRAINING OF CYBERCRIME INVESTIGATORS. Bulletin of the Law Enforcement Academy. 2025;(4 (38)):180-187. (In Russ.) https://doi.org/10.52425/25187252_2025_38_180
JATS XML

