home - login - register

PERC 2018 Abstract Detail Page

Previous Page  |  New Search  |  Browse All

Abstract Title: Classifying Students’ Free Responses in Large Classes
Abstract: A plethora of research studies show that regular formative assessments are extremely helpful for teaching and learning. Qualitative formative assessments, such as short free-response answers to prompts given in assignments such as Just-in-Time-Teaching pre-class questions or post-class exit tickets, can provide nuanced feedback about students' progress and application of high-cognitive-level skills such as habits of mind. However, in a large class of hundreds of students, free responses can be time consuming to read and grade. We apply classification schemes using natural language processing to sort responses from large classes at the University of Toronto. We examine how such classifications may help faculty derive collective feedback quickly and accurately from hundreds of free responses.
Abstract Type: Contributed Poster Presentation
Session Time: Poster Session II
Poster Number: B79

Author/Organizer Information

Primary Contact: Carolyn D. Sealfon
University of Toronto
Department of Physics
Toronto, Non U.S. Phone: (416) 946-4071
and Co-Presenter(s)
Jason J.B. Harlow, University of Toronto