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

Crick, Tom, Prickett, Tom and Bradnum, Jill (2022) Exploring Learner Resilience and Performance of First-Year Computer Science Undergraduate Students during the COVID-19 Pandemic. In: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1. ACM, New York, NY, United States, pp. 519-525. ISBN 9781450392013

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Official URL: https://doi.org/10.1145/3502718.3524764


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.

Item Type: Book Section
Additional Information: ACM Innovation and Technology in Computer Science Education (ITiCSE). 8/07/22 → 13/07/22 Dublin, Ireland
Uncontrolled Keywords: Resilience, Effective Learning, Learner psycholology, attainment
Subjects: G400 Computer Science
X900 Others in Education
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Rachel Branson
Date Deposited: 09 Aug 2022 09:13
Last Modified: 09 Aug 2022 09:15
URI: http://nrl.northumbria.ac.uk/id/eprint/49783

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