Title

Optimizing cyber security education: Implementation of bloom’s taxonomy for future cyber security workforce

Author Identifier

Craig Valli

ORCID : 0000-0002-2298-9791

Nicola F. Johnson

ORCID : 0000-0001-7875-3027

Document Type

Conference Proceeding

Publication Title

2020 International Conference on Computational Science and Computational Intelligence (CSCI)

Publisher

IEEE

School

School of Education / School of Science / ECU Security Research Institute / Graduate Research

RAS ID

32270

Comments

Ramsoonder, N. K., Kinnoo, S., Griffin, A. J., Valli, C., & Johnson, N. F. (2020, December). Optimizing cyber security education: Implementation of bloom’s taxonomy for future cyber security workforce [Paper presentation]. 2020 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA. https://doi.org/10.1109/CSCI51800.2020.00023

Abstract

This research paper determines how education can be optimized by mapping curricula onto Bloom’s taxonomy. The cyber security industry has disparate ways of recruiting its workforce owing to the prevailing educational system and diverse work roles in the field of cyber security. Comparison is drawn between the old and revised models of Bloom’s taxonomy to depict which model best represents the dynamic learning objectives and outcomes of cyber security education. A rubric is designed from the Dreyfus et al model of skill acquisition based on the iterations of Bloom’s taxonomy to assess cyber security competencies to achieve mastery. To bridge the skills gaps in the industry, Bloom’s taxonomy provides the impetus to align the needs of industry with educational programs [1].

DOI

10.1109/CSCI51800.2020.00023

Access Rights

subscription content

Research Themes

Society and Culture

Priority Areas

Diverse, equitable, informed and productive communities, schools and workplaces

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