Inclusive Group Work Assessment for Cybersecurity

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Abstract

This poster presents an ongoing study that takes a diverse and inclusive approach to designing a practical group work assessment for an undergraduate cybersecurity course delivered to third year university cohorts. Students were given the choice to either work individually or as part of a group to complete the assignment in virtual laboratories. The study evaluates how student grouping preferences change when the teaching structure adapts in response to the Covid-19 pandemic and how grouping preference impacts upon academic performance. Students reflected positively on the assignment and demonstrated a preference for treating group information as private. No disputes regarding group marks or contributions from different group members arose despite the number of groups involved. Students have taken responsibility for their choices and have accepted the outcomes of their teamwork.
Original languageEnglish
Title of host publicationITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education
PublisherAssociation for Computing Machinery, Inc
Pages652
Number of pages1
ISBN (Electronic)9798400701399
DOIs
Publication statusPublished - 29 Jun 2023

Publication series

NameAnnual Conference on Innovation and Technology in Computer Science Education, ITiCSE
Volume2
ISSN (Print)1942-647X

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