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Brian K. Ngac

arsons Corporation & George Mason University, USA

Title: Crowdsourcing cyber security experts to determine relevant topics during cyber security curriculum development efforts

Biography

Biography: Brian K. Ngac

Abstract

The cyber security environment, its threats, and its defense strategies are constantly changing. Educational programs and their curriculum are known to be slowing changing and at times out-of-date, resulting in content that may not be as relevant to their students and the industry [1]. This presentation will 1– present an overview of the curriculum development process when using curriculum committees and their hindrance, 2 – describe the concept of crowdsourcing and its benefits when using domain experts, 3 – propose the Curriculum Development using Crowdsourcing Framework (CDC-F) (Figure 1) to integrate expert crowdsourcing into parts of the curriculum development process (specifically the identification of industry-relevant topics and sub-topics for further curriculum content development), 4 – present the process and results of an experiment utilizing the CDC-F, and 5 – discuss how the Parsons Digital Engineering Framework (PDEF) can utilize the expert crowd’s inputs to optimize a relevant list of Topics and Subtopics for the curriculum development decision-makers [2,3]. While this particular experiment was a smaller effort consisting of around 30 domain experts over two rounds of crowdsourcing, it yielded many semi-structure and unstructured inputs that needed to be analyzed, aggregated, categorized, and decided on [4]. Overall, it was found that including domain experts in the curriculum development process benefited the curriculum development effort in identifying more relevant domain topics – which were not initially identified by the curriculum owner [5]. It was also determined that implementing the CDC-F through a more automated effort is necessary to scale the effort for efficiency purposes. This may be through using technologies like PDEF or Argupedia to better retrieve inputs, categorize and aggregate the inputs, as well as present visualizations for easier decision making [6].