IDEAS home Printed from https://ideas.repec.org/a/jfr/ijhe11/v11y2022i5p87.html
   My bibliography  Save this article

Effect of Optional Assessments on Student Engagement, Learning Approach, Stress, and Perceptions of Online Learning during COVID-19

Author

Listed:
  • David M Beauchamp
  • Jennifer M Monk

Abstract

Due to the COVID-19 pandemic, courses were forced into an online format as universities paused in-person learning and consequently, students were required to adjust to online learning. The objective of the current study was to determine the effect of optional assessments designed to promote engagement in a fourth-year asynchronous online nutritional science course. Seven optional engagement assessments were assigned and students’ stress levels, learning approach, and perceptions of online learning were assessed via surveys at the start and end of the semester. A total of 79.8% (n=210) students completed all seven optional engagement assessments. Further, 56.6% (n=149) reported that the assessments helped them feel more engaged with course content. Perceived stress levels did not change during the semester. Surface learning approach scores increased from the beginning to end of the semester, whereas deep learning approach scores remained unchanged. Surface learning scores were positively correlated with experiencing more stress from organizing and maintaining a schedule, more stress associated with time management, and finding time management more challenging. Deep learning approaches were positively correlated with students feeling engaged in the course, comprehending the course content, and stimulating new ideas/perspectives. Collectively, this data demonstrates that optional engagement assessments can improve student perceptions of online learning, however, these outcomes are related to students’ use of surface versus deep learning approaches.

Suggested Citation

  • David M Beauchamp & Jennifer M Monk, 2022. "Effect of Optional Assessments on Student Engagement, Learning Approach, Stress, and Perceptions of Online Learning during COVID-19," International Journal of Higher Education, Sciedu Press, vol. 11(5), pages 1-87, October.
  • Handle: RePEc:jfr:ijhe11:v:11:y:2022:i:5:p:87
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/ijhe/article/download/21858/13942
    Download Restriction: no

    File URL: https://www.sciedupress.com/journal/index.php/ijhe/article/view/21858
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jfr:ijhe11:v:11:y:2022:i:5:p:87. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sciedu Press (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.