METHODS OF DEVELOPING STUDENTS’ INFORMATION SECURITY COMPETENCE IN THE CONTEXT OF USING ARTIFICIAL INTELLIGENCE TOOLS
Keywords:
artificial intelligence, information security, information security competence, higher education, digital literacy, cybersecurity, personal data protection, AI ethics, pedagogical methods, critical thinking.Abstract
The rapid development of artificial intelligence (AI) technologies has significantly transformed the educational environment, creating new opportunities for knowledge acquisition, scientific research, and independent learning. At the same time, the widespread use of AI tools has introduced additional challenges related to information security, personal data protection, digital privacy, cyber threats, academic integrity, and the reliability of AI-generated content. In this context, the development of students’ information security competence has become an essential objective of contemporary higher education. This article examines the theoretical andmethodological foundations of developing students’ information security competence in the context of AI-assisted learning.
Downloads
References
1. Miao, F., & Holmes, W. Guidance for generative AI in education and research. UNESCO.2023. https://doi.org/10.54675/EWZM9535
2. Pascoe, C., Quinn, S., & Scarfone, K. The NIST Cybersecurity Framework (CSF) 2.0. National Institute of Standards and Technology. 2024. https://doi.org/10.6028/NIST.CSWP.29
3. Tabassi, E. Artificial Intelligence Risk Management Framework (AI RMF 1.0). National Institute of Standards and Technology.2023. https://doi.org/10.6028/NIST.AI.100-1
4. National Institute of Standards and Technology. NIST Cybersecurity Framework 2.0: Resource and Overview Guide (NIST SP 1299). 2024. https://doi.org/10.6028/NIST.SP.1299
5. UNESCO. Recommendation on the Ethics of Artificial Intelligence. United Nations Educational, Scientific and https://unesdoc.unesco.org/ark:/48223/pf0000381137
