Research on Data Privacy and Security Management in Artificial Intelligence Enabled Personalized Education

In recent years, the integration of artificial intelligence (AI) technology in education has facilitated the creation of personalized learning programs through the analysis of students' academic performance and learning behavior data. However, concerns have arisen regarding the excessive collection of student information, unauthorized commercialization of data, and breaches of student privacy. Consequently, ensuring data privacy and security has emerged as a paramount issue in AI-driven personalized education. This study examines data protection challenges within AI-enabled education, proposes a comprehensive data privacy and security management system grounded in data full life cycle theory and privacy enhancement technologies, and presents protective measures encompassing technical safeguards, legal oversight, personnel training, and risk mitigation strategies.