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The NLP Course Survey Project is working to apply natural language processing (NLP) to increase instructor presence, connect students with the resources they need, and streamline processes for instructors wanting to incorporate open response questions in surveys in large enrollment courses.

Motivation

Reviewing and responding to responses that are gathered in start-of-semester and mid-semester course surveys can be a challenge, especially in large enrollment courses. This is especially the case when surveys include open-response questions that allow students to articulate their needs or offer course feedback by writing brief statements or short essays. These survey questions can generate a large data set that is difficult to process efficiently. We are developing a set of processes that incorporate NLP, python, and mail merge to reveal insights in survey data and improve the support that students receive.

Team

Greg Mayer
Academic Professional, School of Math, Georgia Tech
Website, email

Adi Krish
Computer Science Undergraduate Student