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

This is the authors' abstract. We don't add key points for this paper.

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.