Tampa, Florida
June 15, 2019
June 15, 2019
June 19, 2019
Engineering Technology
10
10.18260/1-2--33127
https://peer.asee.org/33127
858
Dr. Te-Shun Chou is an Associate Professor in the Department of Technology Systems at ECU. He received his Bachelor degree in Electronics Engineering at Feng Chia University and both Master's degree and Doctoral degree in Electrical Engineering at Florida International University. He serves as the program coordinator of the Master program in Network Technology for the Department of Technology Systems and the lead faculty of Digital Communication Systems concentration for the Consortium Universities of the Ph.D. in Technology Management. He is also the point of contact of ECU National Centers of Academic Excellence in Cyber Defense Education (CAE-CDE). Dr. Chou teaches IT related courses, which include network security, network intrusion detection and prevention, wireless communications, and network management. His research interests include machine learning, wireless communications, technology education, and information security, especially in the field of intrusion detection and incident response.
According to statistics reported by the Internet Crime Complaint Center (IC3), cyber attacks have caused U.S. companies an estimated damage amounting to 1.42 billion U.S. dollars in 2017 [1]. Hence, the mission of preparing students with sufficient knowledge and skills of cyber security has become extremely important and urgent. Nevertheless, it is not an easy task to design an effective cyber security training module because the content should provide real-life examples, use the right delivery methods, and be presented in a clear and concise manner [2].
In this paper, we discuss a cyber security learning system that provides comprehensive training to educate students in the field of cyber attack and prevention. The system incorporates various learning techniques in order to ensure that the leaning of cyber security is interesting and efficient. The techniques we developed include integrated learning, student-centric learning, problem-based learning, self-paced learning, and game-based learning. We expect the system to attract youngsters and prepare them to become the next generation of cyber security professionals.
1. Amount of monetary damage caused by reported cyber crime to the IC3 from 2001 to 2017 (in million U.S. dollars). Retrieved from https://www.statista.com/statistics/267132/total-damage-caused-by-by-cyber-crime-in-the-us/ 2. C. May, “Approaches to user education,” Network Security, Vol. 2008, No. 9, pp. 15-17. 2008.
Chou, T. (2019, June), Multi-Learning Techniques for Enhancing Student Engagement in Cybersecurity Education Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33127
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