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Securing Data Privacy in Education With AI-Powered Cybersecurity

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers IGI Global Scientific Publishing, October 2026
The growing integration of artificial intelligence (AI) into teaching and learning environments has... Full description
? points 408 b New New
167.27 €
In stock Immediate digital delivery

The growing integration of artificial intelligence (AI) into teaching and learning environments has created new opportunities for personalized, data-driven education. At the same time, students are increasingly sharing personal, academic, biometric, and institutional data with AI-powered platforms, often without fully understanding the associated privacy, security, ethical, and usability implications. These data may include written submissions, behavioral information, voice recordings, images, and other digital interactions, raising concerns about data misuse, surveillance, profiling, and the long-term retention of sensitive information. As reliance on AI-enabled educational technologies continues to expand, important questions have emerged regarding transparency, trust, accessibility, accountability, and the design of secure, human-centered learning experiences. These concerns are especially significant given that educational institutions remain frequent targets of cyber threats, including phishing attacks, ransomware incidents, malware campaigns, and data breaches. Securing Data Privacy in Education With AI-Powered Cybersecurity offers a timely examination of the intersection between AI in education, cybersecurity, and data privacy, areas that are often studied independently despite their growing interdependence. This book argues that cybersecurity, privacy protection, accessibility, and user experience are foundational components of effective digital education rather than secondary considerations. By balancing technological innovation with discussions of governance, risk management, ethical responsibility, and learner protection, it provides a comprehensive framework for understanding the opportunities and challenges of AI-enabled educational systems. Covering topics such as community engagement, informed consent, and teacher digital competency, this book serves as an essential resource for researchers, academics, educators, students, cybersecurity professionals, policymakers, and institutional leaders seeking to advance safe, trustworthy, and inclusive digital education.

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