IJLTEMAS International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) IJLTEMAS 2278-2540 IJLTEMAS 30 10.51583/IJLTEMAS.2026.150700025 AI-Assisted Cybersecurity Awareness of Students in AI-Assisted Learning Environments Using Adapted Human Aspects of Information Security Questionnaire (HAIS-Q) Jay P. Dollaga Merch Graduate School, AMA University, Quezon City Philippines R. Yu II Eduardo Graduate School, AMA University, Quezon City Philippines 15 7 291 309 15 07 2026 20 07 2026 06 08 2026 Cybersecurity Awareness AI-assisted Learning HAIS-Q Information Security Artificial Intelligence Abstract

The introduction of artificial intelligence (AI) in education has resulted in the transformation of teaching and learning practices but has also brought about new cybersecurity issues. The present study sought to assess the extent to which students have developed cybersecurity awareness skills in the context of AI-assisted learning and examine the relationship between AI-assisted learning experience and cybersecurity awareness. Quantitative descriptive-correlational research design involving 124 randomly selected participants was applied. Data were gathered through administration of the modified Human Aspects of Information Security Questionnaire (HAIS-Q) that proved to be highly valid (4.76) and reliable (Cronbach’s Alpha = 0.967). The study employed descriptive statistics, Spearman Rank-Order Correlation, and Pearson Product-Moment Correlation to analyze the collected data. It emerged that participants had quite high cybersecurity awareness, measured by the overall average score of 4.16. The dimension of knowledge scored the highest (4.34), whereas behavior yielded the lowest mean (3.92). The correlation analyses revealed no statistically significant relationship between students' exposure to AI-assisted learning and cybersecurity awareness (Spearman ρ = 0.058, p = 0.524; Pearson r = 0.001, p = 0.993). The findings indicate that no statistically significant relationship was found between students' exposure to AI-assisted learning and cybersecurity awareness. Future studies should investigate additional variables, including digital literacy, AI literacy, cybersecurity education, institutional support, and prior cybersecurity experiences, to better explain variations in cybersecurity awareness. The findings highlight the need for educational institutions to strengthen cybersecurity awareness and AI literacy programs to promote responsible use of AI technologies.

 References Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K–12 settings. AI and Ethics, 2(3), 431–440. https://doi.org/10.1007/s43681-021-00096-7 AlBlooshi, S. (2026). Artificial intelligence in higher education: Opportunities and challenges: A review. Frontiers in Education, 10, Article 1683968. https://doi.org/10.3389/feduc.2025.1683968 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 Bada, M., Sasse, A. M., & Nurse, J. R. C. (2019). Cyber security awareness campaigns: Why do they fail to change behaviour? arXiv. https://doi.org/10.48550/arXiv.1901.02672 Biagini, G. (2025). Towards an AI-literate future: A systematic literature review exploring education, ethics, and applications. International Journal of Artificial Intelligence in Education, 35(4), 2616–2666. https://doi.org/10.1007/s40593-025-00466-w Chapagain, D., Kshetri, N., & Pokharel, B. P. (2025). AISCliteracy: Assessing artificial intelligence and cybersecurity literacy levels and learning needs of students. arXiv. https://doi.org/10.48550/arXiv.2506.23321 Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications. Elkhodr, M., & Gide, E. (2025). Integrating generative AI in cybersecurity education: Case study insights on pedagogical strategies, critical thinking, and responsible AI use. arXiv. https://doi.org/10.48550/arXiv.2502.15357 Farrelly, T., & Baker, N. (2023). Generative artificial intelligence: Implications and considerations for higher education practice. Education Sciences, 13(11), 1109. https://doi.org/10.3390/educsci13111109 Gu, X., & Ericson, B. J. (2025). AI literacy in K–12 and higher education in the wake of generative AI: An integrative review. arXiv. https://doi.org/10.48550/arXiv.2503.00079 Hadlington, L. (2017). Human factors in cybersecurity: Examining the link between internet addiction, impulsivity, attitudes towards cybersecurity, and risky cybersecurity behaviours. Heliyon, 3(7), e00346. https://doi.org/10.1016/j.heliyon.2017.e00346 Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning. Hossain, S., Khanam, S., Haniya, S., & Nasr, N. R. (2025). AI literacy and LLM engagement in higher education: A cross-national quantitative study. arXiv. https://doi.org/10.48550/arXiv.2507.03020 Kennedy, K. J., & Gupta, A. (2025). AI & data competencies: Scaffolding holistic AI literacy in higher education. Thresholds in Education, 48(2), 182–201. McCormac, A., Zwaans, T., Parsons, K., Calic, D., Pattinson, M., & Butavicius, M. (2017). Individual differences and information security awareness. Computers in Human Behavior, 69, 151–156. https://doi.org/10.1016/j.chb.2016.11.065 Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504–509. https://doi.org/10.1002/pra2.487 Parsons, K., Calic, D., Pattinson, M., Butavicius, M., McCormac, A., & Zwaans, T. (2017). The human aspects of information security questionnaire (HAIS-Q): Two further validation studies. Computers & Security, 69, 105–118. https://doi.org/10.1016/j.cose.2017.01.004 Perkasa, D. A., & Setiawan, B. (2024). Measuring information security awareness level of high school students. MALCOM: Indonesian Journal of Machine Learning and Computer Science, 4(4), 1301–1308. https://doi.org/10.57152/malcom.v4i4.1461 Pramod, D. (2025). Decoding responsible AI use: The influence of digital literacy and ethical awareness. Cogent Education, 12(1), Article 2592371. https://doi.org/10.1080/2331186X.2025.2592371 Rohan, R., Pal, D., Hautamäki, J., Funilkul, S., Chutimaskul, W., & Thapliyal, H. (2023). A systematic literature review of cybersecurity scales assessing information security awareness. Heliyon, 9(3), e14234. https://doi.org/10.1016/j.heliyon.2023.e14234 Setiawan, B., & Rizal, M. A. (2021). Measurement of information security and privacy awareness in college students after the COVID-19 pandemic. https://doi.org/10.1016/j.procs.2024.03.138 Tian, J. (2025). Integrating artificial intelligence into the cybersecurity curriculum in higher education. Education Sciences, 15(11), 1540. https://doi.org/10.3390/educsci15111540 Xue, Y. (2025). A comparative analysis of AI privacy concerns in higher education. Education Sciences, 15(6), 650. https://doi.org/10.3390/educsci15060650 Zwilling, M., Klien, G., Lesjak, D., Wiechetek, Ł., Cetin, F., & Basim, N. H. (2022). Cyber security awareness, knowledge and behavior: A comparative study. https://doi.org/10.1080/08874417.2020.1712269