Dissertation/Thesis Abstract

Adapting Serious Gamification for Teaching Hands-on Skills in Cybersecurity Distance Learning
by Wood, Steven Wray, T.D., Capitol Technology University, 2019, 190; 27548825
Abstract (Summary)

With the growing number of online cybersecurity courses in higher education, there is an opportunity to improve instruction when teaching hands-on cybersecurity skills, such as network forensics, to distance learning students. This quantitative experimental study included methods taken from the field of serious gamification and applied them to teaching hands-on cybersecurity subjects to students in a distance learning environment. The purpose of this quantitative study was to measure whether the usage of flipped learning adaptive gamified simulations (FLAGS) when teaching hands-on cybersecurity skills to distance learning students improves correct first-time answers on hands-on laboratory tasks. The main research questions this study addressed were concerned with the effectiveness of serious gamification in the form of FLAGS for improving the first-time passage rates of hands-on cybersecurity tasks with distance learning students. The research method used a true experiment with pre-test and post-test surveys along with a hands-on laboratory exercise. The results of the data collected were compared between the treatment and control groups. Due to the low number of participants, statistical significance was not achievable; however, several interesting patterns emerged revealing higher scores with the treatment group indicating the benefits of FLAGS. Further study with larger sample sizes might help answer the hypotheses more definitely.

Indexing (document details)
Advisor: Gould, David
Commitee: Cooper, Harry
School: Capitol Technology University
Department: Technology (PhD)
School Location: United States -- Maryland
Source: DAI-A 81/5(E), Dissertation Abstracts International
Subjects: Information science, Higher education
Keywords: Cybersecurity, Distance education, Gamification, Hands-on, Simulations
Publication Number: 27548825
ISBN: 9781392634158
Copyright © 2020 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy