Skip to main content

Online Course Evaluation

I led the development of NYU Steinhardt’s Online Course Evaluation System, a comprehensive platform used by thousands of students and faculty across the School of Culture, Education, and Human Development. The goal was to replace a fragmented, manual evaluation process with a secure, automated, and user‑friendly system that could handle the full lifecycle of course feedback. I architected the platform around NYU’s NetID Single Sign‑On, ensuring seamless authentication for students and faculty while maintaining strict security and privacy standards required by the university.

A major technical undertaking was the automated import pipeline that synchronized all course, faculty, and student data from NYU’s internal systems. I built a robust ingestion process that pulled in course rosters, instructor assignments, cross‑listed classes, and enrollment changes — all without manual intervention. This automation ensured that evaluations were always accurate, up‑to‑date, and aligned with the university’s constantly shifting academic data. It also eliminated countless hours of administrative work each semester.

On the faculty side, I developed a dedicated instructor interface that allowed professors to add custom evaluation questions tailored to their teaching goals. This gave faculty meaningful control over the feedback they received while preserving a consistent core evaluation structure across the school. Once evaluations were completed, the system generated anonymized reports for different audiences — faculty, department chairs, program administrators — each with the appropriate level of detail and privacy. These reports became essential tools for curriculum planning, faculty development, and accreditation reviews.

By combining secure authentication, automated data integration, customizable evaluation tools, and privacy‑aware reporting, I delivered a platform that dramatically improved how NYU Steinhardt gathers and uses course feedback. The system became a reliable, scalable part of the school’s academic infrastructure, supporting better teaching, better data, and a better experience for both students and faculty.