Analysis of Student Preference to Group Work Assessment in Cybersecurity Courses

Hannan Xiao, William Joseph Spring, Ievgeniia Kuzminykh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This study explores the impact of taking a diverse and inclusive approach to designing a 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 of their preferred size to complete a cybersecurity-based assignment in virtual labs. Student preferences were employed to evaluate the impact of grouping preference upon academic performance. The analysis demonstrated that variations in teaching structure in relation to the Covid pandemics has had an impact on student grouping preferences. Students also revealed that personal preference, academic confidence, peer learning, workload sharing, flexibility and efficiency are popular rationale for their grouping preferences, establishing their personalised learning style and journey.
Original languageEnglish
Title of host publication2nd International Workshop on Cybersecurity Education for Industry and Academia (CEUR Workshop Proceedings)
Subtitle of host publicationCSE41A 2024
Place of PublicationGenova, Italy
Number of pages12
Publication statusPublished - 4 Jun 2024
EventCSE4IA '24 2nd International Workshop on Cybersecurity Education for Industry and Academia: co-located with AVI 2024 - Arenzano , Italy
Duration: 4 Jun 20244 Jun 2024
Conference number: 2
https://sites.google.com/view/cse4ia-2024/home

Conference

ConferenceCSE4IA '24 2nd International Workshop on Cybersecurity Education for Industry and Academia
Abbreviated titleCSE4IA '24
Country/TerritoryItaly
CityArenzano
Period4/06/244/06/24
Internet address

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