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Comparing Cognitive Theories of Learning Transfer to Advance Cybersecurity Instruction, Assessment, and Testing

Daniel T. Hickey, Ronald J. Kantor · Journal of Cybersecurity Education, Research and Practice · 2024

The cybersecurity threat landscape evolves quickly, continually, and consequentially. This means that the transfer of cybersecurity learning is crucial. We compared how different recognized “cognitive” transfer theories might help explain and synergize three aspects of cybersecurity education. These include teaching and training in diverse settings, assessing learning formatively & summatively, and testing & measuring achievement, proficiency, & readiness. We excluded newer sociocultural theories and their implications for inclusion as we explore those theories elsewhere. We first summarized the history of cybersecurity education and proficiency standards considering transfer theories. We then explored each theory and reviewed the most relevant cybersecurity education research; in some cases, we broadened our search to computing education. We concluded that (a) archaic differential transfer theories are still influential but have negative implications to be avoided, (b) constructionist theories are popular in K-12 settings but raise issues for assessment and transfer, (c) many embrace a general cognitive science perspective that can resolve tensions between modern cogni

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