PERC 2018 Abstract Detail Page
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| 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 |
| Co-Author(s) and Co-Presenter(s) |
Jason J.B. Harlow, University of Toronto |
