Date of Award

6-11-2018

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2018.

Department

Computer Engineering

First Advisor

Darren Atkinson

Abstract

Evaluating professors and classes is a common task at universities across the United States. It helps professors improve courses, and guides students when choosing classes tailored to their learning style. The current available evaluation platforms do not offer intuitive, up-to-date, and encouraging solutions to this problem; thus, SCU Evals was launched. Our platform has a production-ready foundation with a significant amount of optimized features to maximize the user experience. Furthermore, it utilizes the latest technologies, and the project is fully open source to increase its overall lifetime. The end goal is to provide a platform that would improve the academic environment at Santa Clara University, satisfying the needs of students and professors alike.

After launching the platform, feedback was collected to iterate on the design and functionality to better suit the needs of our users. Once the changes were implemented, the platform was successfully relaunched with strong positive feedback. The volume of evaluations is still relatively small, but the platform is actively growing and continuously becoming more useful as data is collected. We believe further improvements to the platform are not necessary to achieve success, but it could help our users in various ways. Some of the suggested features include the ability for faculty to interact with students and an integration with the SCU registrar, if possible.

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