Automated Zoom Chat Analysis Including Chat-Based Polls for an Online Introductory Programming Course
- Conference
- Location
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Minneapolis, MN
- Publication Date
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August 23, 2022
- Start Date
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June 26, 2022
- End Date
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June 29, 2022
- Conference Session
- Page Count
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15
- DOI
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10.18260/1-2--40435
- Permanent URL
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https://peer.asee.org/40435
- Download Count
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360
Paper Authors
Frank Vahid University of California, Riverside
Frank Vahid is a Professor of Computer Science and Engineering at the University of California, Riverside, since 1994. He is co-founder and Chief Learning Officer of zyBooks, which creates web-native interactive learning content to replace college textbooks and homework serving 500,000 students anually. His research interests include learning methods to improve college student success especially for CS and STEM freshmen and sophomores, and also embedded systems software and hardware. He is also founder of the non-profit CollegeStudentAdvocates.org.
Stanley Zhao University of California, Riverside
Joe Allen University of California, Riverside
Abstract
We describe a tool that automatically derives student participation statistics from a Zoom chat log. We discuss how our 100 student CS1 section, taught online every term the past 7 years to 1,500 students total, evolved to use chat extensively, for real-time questions/answers and also for a rapid dynamic polling approach to teach programming such as "What does this code output?" or "Now you finish the branch expression". The tool counts messages per student to allow for automated participation credit. To provide instructors further insights, it also approximately categorizes messages into poll or non-poll messages and lists the time each poll was conducted. Comparisons with manual analysis show the approximations to be 80-85% accurate, sufficient for insight purposes. We show course evaluation data suggesting that active chat-based polling likely contributed to our online course evaluation scores rising from a respectable 4.2/5 to a well-above average 4.8/5. We hope to make the tool freely available to computer science and other instructors to help them give participation credit for online course participation in the chat and to track their own poll usage and response rates to experiment with their online teaching approach of keeping the class engaged.
Vahid, F., & Zhao, S., & Allen, J. (2022, August), Automated Zoom Chat Analysis Including Chat-Based Polls for an Online Introductory Programming Course Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40435
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