Description:

This bachelor thesis investigates how an AI-based digital feedback system can provide structured, rubric-based responses to student submissions while rigorously protecting their personal data. The work focuses on designing and implementing a prototype that separates identity from content, uses encryption, and restricts access to sensitive information. Finally, the thesis evaluates whether such a system can deliver scalable, consistent, and individualized feedback without compromising student privacy.