AI and Cybersecurity for Education: Learning Safeguarded
Year: 2025
Type: article
Abstract: This paper discusses the convergence of learning security, artificial intelligence (AI), and cyber threats in the educational setting. With the growing use of AI technologies in the academic sector, they provide better educational experiences, yet create serious cybersecurity issues. The research analyzes the risks and susceptibilities of AI-based platforms within the educational setting, information security, system security, and trust. The most important findings suggest that, although AI can contribute to personal learning and administration quality, it is known to amplify the threats of cyberattacks, such as information leakage and unauthorized access. Additionally, there are specific obstacles to the adoption of AI technologies among adult learners, with varying levels of digital literacy and confidence. The paper highlights the importance of strong cybersecurity models and lifelong learning to reduce threats and guarantee the safe and efficient use of AI in the learning process. This study provides a deeper understanding of the security aspects of AI in education and suggests viable ideas to mitigate such concerns.
Author: Salih Mansur
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7083582764
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