Publication Date
July 2023
Abstract
A qualitative case study focused on understanding what steps are needed to prepare the cybersecurity workforces of 2026-2028 to work with and against emerging technologies such as Artificial Intelligence and Machine Learning. Conducted through a workshop held in two parts at a cybersecurity education conference, findings came both from a semi-structured interview with a panel of experts as well as small workgroups of professionals answering seven scenario-based questions. Data was thematically analyzed, with major findings emerging about the need to refocus cybersecurity STEM at the middle school level with problem-based learning, the disconnects between workforce operations and cybersecurity operators, the distrust of Non-Traditional Training Programs, and the need to build digital security generalists’ curriculum and training. Recommendations are also made for possible next steps.
DOI
10.32727/8.2023.11
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Accessibility Commons, Adult and Continuing Education Commons, Adult and Continuing Education and Teaching Commons, Artificial Intelligence and Robotics Commons, Curriculum and Instruction Commons, Educational Technology Commons, Elementary and Middle and Secondary Education Administration Commons, Gender Equity in Education Commons, Higher Education Administration Commons, Higher Education and Teaching Commons, Information Security Commons, Junior High, Intermediate, Middle School Education and Teaching Commons, Management Information Systems Commons, Other Educational Administration and Supervision Commons, Other Teacher Education and Professional Development Commons, Technology and Innovation Commons, University Extension Commons