This project aims to understand physics faculty responses to transitioning to online teaching during the COVID-19 pandemic. We surveyed 662 physics faculty following the Spring 2020 term, of these, 258 completed a follow up survey after the Fall 2020 term. We used natural language processing to measure the sentiment scores of 364 Spring 2020 responses and another 134 Fall 2020 responses of physics faculty from the United States that completed an optional written prompt. Additionally, we determined the change in sentiment scores of the 100 individuals that responded to both surveys. These sentiment scores measured between -1 and 1 for completely negative and completely positive respectively. Sentiment scores after Spring 2020 were slightly positive with a median value of 0.2347. The distribution of sentiment changes was approx- imately normally distributed with a mean centered near zero. Analysis suggests the average sentiment did not change from the initial to followup surveys. To identify major topics within the responses for both surveys, Latent Dirichlet Allocation analysis was applied to the data. The topic distribution for the initial survey is given as: Course Modifications and Technology, Negative Aspects of the Transition - primarily with Labs and Cheating, Exam and Evaluation Difficulties, and Difficulties with Student Understanding. The topics were noticeably different in the follow up survey with: Differences between Fall and Spring, Cooperative learning strategies, Strategies that worked in the remote space, and Benefits of in person labs.
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Details
Title
Sentiment and thematic analysis of faculty responses
Creators
Colin Green
Contributors
Eric T. Brewe (Advisor)
Awarding Institution
Drexel University
Degree Awarded
Master of Science (M.S.)
Publisher
Drexel University; Philadelphia, Pennsylvania
Number of pages
vi, 18 pages
Resource Type
Thesis
Language
English
Academic Unit
College of Arts and Sciences; Physics; Drexel University
Other Identifier
991018390669504721
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