Analyzing cybersecurity understanding using a brain computer interface
Document Type
Conference Proceeding
Publication Date
1-1-2020
Abstract
Widespread internet device use is simultaneously increasing individual cybersecurity risk. Individual awareness of cybersecurity risk must begin early, in high school and with a curriculum that engages the student’s interest in a highly technical topic. The research project presented here explores the best way to teach cybersecurity to high school students to accomplish these goals. Researchers developed and delivered cybersecurity lectures to the students weekly, observing that each lecture and activity caused a different reaction and interest level depending on the way the topic was approached. Results from this research show the best way to engage students in cybersecurity education topics, as measured by assessment using a brain computer interface (BCI). A curriculum with eight topics was prepared, with selected subjects providing an entry point for different learning styles. Active learning activities and student outcomes show the validity of this approach, as do pre- and post-survey assessments. The results from this work can be used to further develop appropriate engaging cybersecurity education, while reducing student stress.
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
First Page Number
92
Last Page Number
104
DOI
10.1007/978-3-030-50309-3_7
Recommended Citation
Capellan, Kingberli; Condado, Manuel; Morais, Isabel; and Morreale, Patricia, "Analyzing cybersecurity understanding using a brain computer interface" (2020). Kean Publications. 1276.
https://digitalcommons.kean.edu/keanpublications/1276