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What strategies ensure data privacy in AI-driven student assessment systems?
Asked on Feb 02, 2026
Answer
AI-driven student assessment systems require robust data privacy strategies to protect student information. These strategies include implementing data encryption, access controls, and compliance with educational data protection regulations like FERPA or GDPR.
Example Concept: Data privacy in AI-driven assessment systems is ensured by encrypting student data both in transit and at rest, using role-based access controls to limit data access to authorized personnel, and regularly auditing data handling processes to ensure compliance with privacy regulations such as FERPA (Family Educational Rights and Privacy Act) or GDPR (General Data Protection Regulation).
Additional Comment:
- Ensure all data is anonymized where possible to protect student identities.
- Regularly update security protocols to address new vulnerabilities.
- Provide training for staff on data privacy best practices.
- Implement clear data retention and deletion policies.
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