This work-in-progress paper advances a blockchain-based micro-credentialing system for
engineering education through the implementation of a privacy-aware proctoring and credential issuance pipeline. The system integrates a web-based coding assessment platform with webcam and screen recording, encrypted cloud storage, manual administrator review, and blockchain-based credential issuance.
Building on prior conceptual work, the implemented architecture leverages AWS Cognito for authentication, serverless backend services for controlled data handling, and BCdiploma for issuing verifiable blockchain credentials. Proctoring data is captured during remote assessments and stored securely for time-limited, role-restricted administrative review. This human-in-the-loop approach prioritizes academic integrity while minimizing automated biometric decision-making and unnecessary exposure of sensitive data.
Ongoing and future work explores additional privacy-preserving enhancements—including face blurring, zero-knowledge liveness verification, and biometric hashing—to further mitigate deepfake and replay attacks without persistent biometric storage.
Building on these technical foundations, this collaborative effort between Electrical and Computer Engineering, and Engineering Education departments demonstrates how the platform can support scalable, course-level deployments. Planned evaluations will focus on usability, instructional efficiency, and equitable access, with detailed metrics to be reported as future work.
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