Education Commons^™

Using Case Studies To Teach Cybersecurity Courses, Yu Cai

Journal of Cybersecurity Education, Research and Practice

This paper introduces a holistic and case-analysis teaching model by integrating case studies into cybersecurity courses. The proposed model starts by analyzing real-world cyber breaches. Students look into the details of these attacks and learn how these attacks took place from the beginning to the end. During the process of case analysis, a list of security topics reflecting different aspects of these breaches is introduced. Through guided in-class discussion and hands-on lab assignments, student learning in lecture will be reinforced. Overall, the entire cybersecurity course is driven by case studies. The proposed model is great for teaching cybersecurity. First, the …

An Examination Of Cybersecurity Knowledge Transfer: Teaching, Research, And Website Security At U.S. Colleges And Universities, Aditya Gupta, James R. Wolf

Journal of Cybersecurity Education, Research and Practice

This work seeks to answer the question: Does faculty cybersecurity knowledge gained from teaching and research transfer to other IT units in the university? Specifically, do colleges and universities that excel in cybersecurity teaching and research have more secure websites? This work explores a unique setting where the knowledge of the source and recipient are both directly related and observable without outside intervention. Our study employed data from 591 U.S. colleges and universities, the National Centers of Academic Excellence (CAE) program, accepted paper data from the ACM Conference on Computer and Communications Security (CCS) and the IEEE Symposium on Security …

Machine Learning To Predict College Course Success, Anthony R.Y. Dalton, Justin Beer, Sriharshasai Kommanapalli, James S. Lanich Ph.D.

SMU Data Science Review

In this paper, we present an analysis of the predictive ability of machine learning on the success of students in college courses in a California Community College. The California Legislature passed assembly bill 705 in order to place students in non-remedial coursework, based on high school transcripts, to increase college completion. We utilize machine learning methods on de-identified student high school transcript data to create predictive algorithms on whether or not the student will be successful in college-level English and Mathematics coursework. To satisfy the bill’s requirements, we first use exploratory data analysis on applicable transcript variables. Then we use …

Student Misconceptions About Cybersecurity Concepts: Analysis Of Think-Aloud Interviews, Julia D. Thompson, Geoffrey L. Herman, Travis Scheponik, Linda Oliva, Alan Sherman, Ennis Golaszewski, Dhananjay Phatak, Kostantinos Patsourakos

Journal of Cybersecurity Education, Research and Practice

We conducted an observational study to document student misconceptions about cybersecurity using thematic analysis of 25 think-aloud interviews. By understanding patterns in student misconceptions, we provide a basis for developing rigorous evidence-based recommendations for improving teaching and assessment methods in cybersecurity and inform future research. This study is the first to explore student cognition and reasoning about cybersecurity. We interviewed students from three diverse institutions. During these interviews, students grappled with security scenarios designed to probe their understanding of cybersecurity, especially adversarial thinking. We analyzed student statements using a structured qualitative method, novice-led paired thematic analysis, to document patterns in …

Experiential Learning Builds Cybersecurity Self-Efficacy In K-12 Students, Abdullah Konak

Journal of Cybersecurity Education, Research and Practice

In recent years, there have been increased efforts to recruit talented K-12 students into cybersecurity fields. These efforts led to many K-12 extracurricular programs organized by higher education institutions. In this paper, we first introduce a weeklong K-12 program focusing on critical thinking, problem-solving, and igniting interest in information security through hands-on activities performed in a state-of-the-art virtual computer laboratory. Then, we present an inquiry-based approach to design hands-on activities to achieve these goals. We claim that hands-on activities designed based on this inquiry-based framework improve K-12 students’ self-efficacy in cybersecurity as well as their problem-solving skills. The evaluation of …

Models As Weapons: Review Of Weapons Of Math Destruction: How Big Data Increases Inequality And Threatens Democracy By Cathy O’Neil (2016), Samuel L. Tunstall

Numeracy

Cathy O’Neil. 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (New York, NY: Crown) 272 pp. ISBN 978-0553418811.

Accessible to a wide readership, Cathy O’Neil’s Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy provides a lucid yet alarming account of the extensive reach of mathematical models in influencing all of our lives. With a particular eye towards social justice, O’Neil not only warns modelers to be cognizant of the effects of their work on real people—especially vulnerable groups who have less power to fight back—but also encourages laypersons to take initiative …

Space Operations In The Suborbital Space Flight Simulator And Mission Control Center: Lessons Learned With Xcor Lynx, Pedro Llanos, Christopher Nguyen, David Williams, Kim O. Chambers Ph.D., Erik Seedhouse, Robert Davidson

Journal of Aviation/Aerospace Education & Research

This study was conducted to better understand the performance of the XCOR Lynx vehicle. Because the Lynx development was halted, the best knowledge of vehicle dynamics can only be found through simulator flights. X-Plane 10 was chosen for its robust applications and accurate portrayal of dynamics on a vehicle in flight. The Suborbital Space Flight Simulator (SSFS) and Mission Control Center (MCC) were brought to the Applied Aviation Sciences department in fall 2015 at Embry-Riddle Aeronautical University, Daytona Beach campus. This academic and research tool is a department asset capable of providing multiple fields of data about suborbital simulated flights. …

Scenario Development For Unmanned Aircraft System Simulation-Based Immersive Experiential Learning, Nickolas D. Macchiarella, Alexander J. Mirot

Journal of Aviation/Aerospace Education & Research

Application of scenario-based training can serve as practical means of educating remote pilots and sensor operators as they seek professional levels of knowledge. Both education and training can build upon time-tested training and simulation methodologies that apply simulators in settings that mirror real-world operations. Embry-Riddle Aeronautical University’s unmanned aircraft system (UAS) program curriculum is rooted in immersive simulation that offers students an experiential learning experience that is aimed to develop higher-order thinking skills. Skills that are critical to professional levels of performance. The degree program builds from basic application skills to critical thinking skills by using immersive scenario-based training in …

Meeting Real World Demands Of The Global Economy: An Employer's Perspective, Doreen Mcgunagle, Laura Zizka

Journal of Aviation/Aerospace Education & Research

Educational programs prepare students theoretically for the workplace, but many programs are still lacking in the real-world skills that the workplace requires. This is especially evident in Science, Technology, Engineering, and Math (STEM) education where today’s graduates hold a fundamental role in advancing science, medicine, sustainability, national security, and the economy, yet the programs to prepare them are falling short of employer expectations. At present, there is a lack of information on the necessary skills for workplace success that is specific to Airline, Aerospace, Defense (A&D) and related Industries’ STEM graduates. This paper attempts to fill this gap by offering …