Graduate students significantly more concerned than undergraduates about returning to campus in the era of COVID-19

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Abstract

Introduction

As students return to colleges and universities in the fall of 2020, it is important to understand their perception of risk and their desire for in person versus online learning, which may differ between undergraduate and graduate students.

Methods

We anonymously surveyed 212 undergraduate and 134 graduate students in the College of Public Health, and 94 graduate students in the College of Education in late June, 2020. We asked them Likert style questions regarding their comfort returning to campus and their preferred learning strategies once back. We compared “Strongly agree/Agree” with “Neutral/Disagree/Strongly disagree” using a chi-square test.

Results

Graduate students were significantly less likely to look forward to being on campus (38.3% doctoral vs 40.6% master’s vs 77.7% undergraduate, p < 0.001), more likely to perceive themselves as high risk (43.3% doctoral vs 40.0% masters vs 17.5% undergraduate, p < 0.001), and were more likely to prefer all classwork online (66.7% doctoral vs 44.6% master’s vs 20.8% undergraduate, p < 0.001). Graduate students were also less likely to prefer to be in the classroom as much as possible in the fall (59.2% doctoral vs 67.7% master’s vs 74.5% undergraduate, p < 0.001). Most were not concerned about their ability to conduct research. Students generally supported wearing of facemasks indoors.

Conclusions

There are important differences in perception of risk and desire for online versus in-person learning between undergraduate and graduate students. Faculty and administrators must acknowledge and address these differences as they prepare for return to campus in the fall.

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  1. SciScore for 10.1101/2020.07.15.20154682: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    After surveing students in the Department of Epidemiology and Biostatistics, the survey was slightly adapted by leadership of the College of Public Health (the question “I am comfortable with a requirement that students and faculty wear masks in indoor spaces and during classes” was changed to “Strongly encouraging student to wear face masks while indoors or during face-to-face lectures is a good idea”, and the question “I prefer not to wear face masks while indoors or during face-to-face lectures” was added).
    Biostatistics
    suggested: (BWH Biostatistics Center, RRID:SCR_009680)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • No funding statement was detected.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.