2012 ASEE Annual Conference &Amp; Exposition Proceedings
DOI: 10.18260/1-2--21624
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Junior Cyber Discovery: Creating a Vertically Integrated Middle School Cyber Camp

Abstract: Mr. G.B. Cazes, Cyber Innovation Center G.B. Cazes currently serves as the Cyber Innovation Center's (CIC) Vice President, responsible for its daily operations. In addition, Cazes has devoted countless hours to the development and implementation of a dynamic Academic Outreach and Workforce Development program. This program will assist the CIC in developing a knowledge-based workforce for the future. Cazes has spent his entire career in the information management and information technology sectors. His experien… Show more

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Cited by 6 publications
(2 citation statements)
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“…PNW GenCyber [10] and SecurityEmpire [16] utilize game based learning approaches, and have produced promising learning gains in K-12 participants. Similar gains were experienced by approaches that integrate robotics and cybersecurity (e.g., Junior Cyber Discovery [20] and Roboscape [11]). However, in order to integrate these tools and approaches into K-12 classrooms, it is important to include methods for assessing students against key standards and teacher-defined learning objectives.…”
Section: Introductionmentioning
confidence: 63%
“…PNW GenCyber [10] and SecurityEmpire [16] utilize game based learning approaches, and have produced promising learning gains in K-12 participants. Similar gains were experienced by approaches that integrate robotics and cybersecurity (e.g., Junior Cyber Discovery [20] and Roboscape [11]). However, in order to integrate these tools and approaches into K-12 classrooms, it is important to include methods for assessing students against key standards and teacher-defined learning objectives.…”
Section: Introductionmentioning
confidence: 63%
“…They are proposals aimed at helping young people to understand and demystify AI through different types of activities. These activities included conducting discussions after watching AI-related movies (Tims et al, 2012), carrying out computer-based simulations of human-like behaviors (Ho et al, 2019), experimenting as active users of social robots (Gonzalez et al, 2017) and programming AI-based conversational agents (Van Brummelen et al, 2021b).…”
Section: Learning To Recognize Artifacts Using Aimentioning
confidence: 99%