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Daniel Marimekala Irving A. Anita priyadarshini Durai pandian Aarhus University, Denmark. Diego Lorenzo C. Donato Philippines ; Juris Roi D. Orpilla, Adrian Gabriel H. De Guzman and Matthew Jonathan T.
Gabriel L. Legaspi, Marco Juhann G. Ortega, Gabriel Antonio S. Andrew Y. Thalamati and Suraj R. March 9 Sat. Program at a Glance. Session Introduction Introduction Conference. Discussions Play session Enter Zoom. Session Keynote-1 Keynote Speaker 1: Conference. Paper Slides Video. Speaker Virtual. This talk does not have an abstract. Speaker biography is not available. Session Keynote-2 Keynote Speaker 2: Conference. Session Keynote-3 Keynote Speaker 3: Conference. In today's fast-paced digital era, teenagers are deeply engaged in the online world, making them susceptible to potential cyber risks.
While the internet offers numerous advantages, it also presents cybersecurity challenges. This paper introduces a unique three-stage ethics model for high school students, categorizing hacking types. By blending standard hacking techniques with interactive, hands-on learning using the "Password Predictor Game," students can effectively learn to safeguard their online presence. The "Password Predictor Game" has been found to positively impact students' cybersecurity knowledge and behaviors, as evidenced by both quantitative data and qualitative feedback.
The game's instant feedback feature proves particularly effective, leading to a reduction in students using identical passwords. However, future versions of the game could benefit from incorporating more complex scenarios and a broader spectrum of cybersecurity topics, as suggested by some focus group participants. Moreover, our study underscores the significance of early cybersecurity education and emphasizes its practical relevance in the real world. Data analysis is a powerful way to learn more about the social component of student lives and help identify patterns.
