Exploring Learner Resilience and Performance of First-Year Computer Science Undergraduate Students during the COVID-19 Pandemic

Tom Crick, Tom Prickett, Jill Bradnum

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

This paper presents the findings from a research project exploring the impact of learner resilience as part of the shift to online delivery of learning, teaching and assessment amidst national "lockdown" measures as a result of the COVID-19 pandemic. This exploration of resilience was undertaken as part of the delivery of a first-year undergraduate computer science degree programme in a UK higher education institution over two academic years. Resilience was measured by the Nicholson McBride Resilience Questionnaire (NMRQ). The responses from the 2019-2020 and 2020-2021 student cohorts (N=214) illustrate that overall learner resilience as measured by NMRQ does not appear to have had a significant impact upon learner success as measured by the mean overall first-year performance. This is an outcome that differs from previous work and may be a consequence of the disruptive (and ongoing) circumstances arising from the pandemic. However, this work identifies that the factor "I try to control events rather than being a victim of my circumstances" appears to promote success and the factor "I trust my intuition" may have been slightly detrimental to overall success. As we start to consider the post-pandemic new (ab)normal, learners will continue to face significant personal challenges that will impact upon their engagement with their studies and their performance and progression; thus the insights offered from this UK university study can help to inform emerging academic and pastoral practice for undergraduate computer science education.
Original languageEnglish
Title of host publicationITiCSE '22: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1
Place of PublicationNew York, NY, United States
PublisherACM
Pages519-525
Number of pages7
ISBN (Electronic)9781450392013
DOIs
Publication statusPublished - 7 Jul 2022
EventACM Innovation and Technology in Computer Science Education (ITiCSE). - University College Dublin (UCD), Dublin, Ireland
Duration: 8 Jul 202213 Jul 2022
Conference number: 27
https://iticse.acm.org/2022/

Conference

ConferenceACM Innovation and Technology in Computer Science Education (ITiCSE).
Abbreviated titleITiCSE 2020
Country/TerritoryIreland
CityDublin
Period8/07/2213/07/22
Internet address

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