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Articles 1 - 2 of 2
Full-Text Articles in Artificial Intelligence and Robotics
Case Study: The Impact Of Emerging Technologies On Cybersecurity Education And Workforces, Austin Cusak
Case Study: The Impact Of Emerging Technologies On Cybersecurity Education And Workforces, Austin Cusak
Journal of Cybersecurity Education, Research and Practice
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 …
Manana: A Generalized Heuristic Scoring Approach For Concept Map Analysis As Applied To Cybersecurity Education, Sharon Elizabeth Blake Gatto
Manana: A Generalized Heuristic Scoring Approach For Concept Map Analysis As Applied To Cybersecurity Education, Sharon Elizabeth Blake Gatto
University of New Orleans Theses and Dissertations
Concept Maps (CMs) are considered a well-known pedagogy technique in creating curriculum, educating, teaching, and learning. Determining comprehension of concepts result from comparisons of candidate CMs against a master CM, and evaluate "goodness". Past techniques for comparing CMs have revolved around the creation of a subjective rubric. We propose a novel CM scoring scheme called MAnanA based on a Fuzzy Similarity Scaling (FSS) score to vastly remove the subjectivity of the rubrics in the process of grading a CM. We evaluate our framework against a predefined rubric and test it with CM data collected from the Introduction to …