Example Concept: In AI-driven learning environments, student data privacy is maintained by employing encryption to secure data in transit and at rest, implementing role-based access controls to limit data access to authorized personnel, and using anonymization techniques to remove personally identifiable information from datasets. Compliance with regulations such as FERPA or GDPR is also crucial to ensure legal protection of student data.