Examining the social validity of a Cybersecurity Awareness Training Program in AI-Supported Education (CATP-AIsE) for gifted students
Abstract
Despite the rapid integration of AI-supported tools into special education settings, empirical evidence regarding cybersecurity awareness among gifted students remains extremely limited. This mixed-methods study examined whether AI-supported, scenario-based educational interventions could produce measurable improvements in the cybersecurity awareness of gifted students (N = 50, aged 11–14) enrolled in a Science and Art Center program in Türkiye. Quantitative data were collected using the Cybersecurity Awareness Scale administered before and after a four-week intervention, while qualitative data were obtained through scenario-based, AI-supported activities focusing on password security and phishing recognition. Paired-samples t-test results indicated statistically significant improvements across all five dimensions of cybersecurity awareness (p < .001), with a large overall effect size (Cohen’s d = 1.85). Qualitative thematic analysis revealed three key cognitive transformations: Learning Through Immediate Feedback, Systems Thinking, and Digital Skepticism. These findings suggest that AI-supported, scenario-based instruction may offer a promising mechanism for bridging the knowledge–behavior gap in gifted education and provide preliminary evidence for integrating cybersecurity awareness into specialized educational programs. Important methodological limitations, including the absence of a control group and issues related to multiple comparisons, are discussed.
Keywords
- Artificial Intelligence (AI)
- Cybersecurity awareness
- Cybersecurity Awareness Training Program
- Gifted student
- Social validity
Ethical Statement
Thanks
References
- Al-Azawei, A., Al-Bahrani, A., & Al-Bahrani, M. (2024). Examining digital security behaviors and ethics among gifted and high-achieving students: A cross-sectional analysis of technical competence versus security awareness. Computers & Education, 210, 104952. https://doi.org/10.1016/j.compedu.2023.104952
- Andress, J. (2014). The basics of information security: Understanding the fundamentals of InfoSec in theory and practice. Syngress.
- Ansari, M. F., Sharma, P. K., & Dash, B. (2022). Prevention of phishing attacks using AI-based cybersecurity awareness training. International Journal of Smart Sensor and Adhoc Network, 3(3), 61–72. https://doi.org/10.47893/ijssan.2022.1221
- Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278.
- Creswell, J. W., & Miller, D. L. (2000). Determining validity in qualitative inquiry. Theory Into Practice, 39(3), 124– 130. https://doi.org/10.1207/s15430421tip3903_2
- Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage Publications.
- Dede, M., Yılmaz, O., & Şahin, E. (2026). Özel yetenekliler eğitimi merkezlerinde (BİLSEM) dijital güvenlik ve yapay zekâ entegrasyonu: Yönetici ve öğretmen perspektifleri (Digital security and AI integration in gifted education centers [BİLSEM]: Administrator and teacher perspectives). Journal of Gifted Education and Creativity, 14(1), 45– 68.
- ENISA (European Union Agency for Cybersecurity). (2022). Cybersecurity guide for SMEs: 12 steps to securing your business. Publications Office of the European Union. https://www.enisa.europa.eu/publications/cybersecurity-guide-for-smes
Details
Primary Language
English
Subjects
Special Talented Education
Journal Section
Research Article
Authors
Halil Senturk
*
0000-0002-8672-8048
Türkiye
Early Pub Date
September 27, 2026
Publication Date
September 30, 2026
Submission Date
July 7, 2026
Acceptance Date
September 24, 2026
Published in Issue
Year 2026 Volume: 14 Number: 3