- Conference Session
- Software Engineering Division (SWED) Technical Session 4
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Rajendran Swamidurai, Alabama State University; Uma Kannan, Alabama State University
- Tagged Divisions
-
Software Engineering Division (SWED)
ProjectsThough research in intrusion detection has been around for several years, applications are alwayschanging and morphing. Current intrusion detection processes suffer from several limitationswhen focusing on highly vulnerable network intrusions. First, with the increasing volume ofnetwork traffic -- existing intrusion detection processes fail to analyze the vulnerabilities in timeto predict possible network intrusion(s) from the chain of actions of an intruder. Second, currentintrusion detection systems produce a high volume of false positive alerts. And third, currentapproaches consider every sequence of network vulnerability to predict future intrusions ratherthan analyzing the comparatively significant sequences. Instead of teaching
- Conference Session
- Software Engineering Division (SWED) Technical Session 2
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Xiangxiong Kong, California State University, Fresno; Alex Fegely, Coastal Carolina University; George W Hitt, Coastal Carolina University; Dominique Nunez Garcia, California State University, Fresno; Kaleb Glenn Montgomery, Coastal Carolina University; Deify Law, California State University, Fresno
- Tagged Divisions
-
Software Engineering Division (SWED)
calculus concepts. As a result, the virtual modulesignificantly increased students’ interest in calculus.Despite these successes in engineering education, most VR modules discussed above [9, 10, 11,12] are based on entirely imaginary universes with artificial physics simulations developedthrough 3D game engines (e.g., Unity [13], or Unreal Engine [14]). If not well investigated, thesegame engine-based VRs are criticized for being unauthentic and unsophisticated [15]. Indeed,developing and maintaining realistic, high physical fidelity, virtual content is time-consumingand labor-intensive [16], as the developer(s) must consider multiple factors such as viewpointselection, camera movement, the realism of the virtual environment, media mode
- Conference Session
- Software Engineering Division (SWED) Technical Session 3
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
David Li, University of Maryland College Park; Houbing Herbert Song, University of Maryland Baltimore County
- Tagged Divisions
-
Software Engineering Division (SWED)
. (2018, December). Effects of GPS spoofing on unmanned aerial vehicles. In \textit{2018 IEEE 23rd Pacific Rim International Symposium on Dependable Computing (PRDC)} (pp. 155-160). IEEE. [4] Warner, J. S., \& Johnston, R. G. (2003). GPS spoofing countermeasures. \textit{Homeland Security Journal}, \textit{25}(2), 19-27. [5] Tippenhauer, N. O., Pöpper, C., Rasmussen, K. B., \& Capkun, S. (2011, October). On the requirements for successful GPS spoofing attacks. In \textit{Proceedings of the 18th ACM conference on Computer and communications security} (pp. 75-86). [6] Zhang, T., \& Zhu, Q. (2017). Strategic defense against deceptive civilian GPS spoofing of unmanned aerial vehicles. In
- Conference Session
- Software Engineering Division (SWED) Technical Session 4
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Ashley Rea, Embry-Riddle Aeronautical University - Prescott; Taylor Alexis Hobbs, Embry-Riddle Aeronautical University - Prescott; Chanel Davis, Embry-Riddle Aeronautical University - Prescott; Abigail Sophia Clerget, Embry-Riddle Aeronautical University - Prescott
- Tagged Topics
-
Diversity
- Tagged Divisions
-
Software Engineering Division (SWED)
new landscape to continue to foster a more inclusive software engineeringenvironment.9. References[1] Bureau of Labor Statistics, U.S. Department of Labor. “Labor force statistics from the currentpopulation survey.” Occupational Outlook Handbook. 2024.[2] A. Rea. “Coding Equity: Social Justice and Computer Programming Education.” IEEETransactions on Professional Communication, vol.36, no.2, pp. 87-103, 2022.[3] J. Jabbari, Y. Chun, W. Huang, S. Roll, “Disaggregating the Effects of STEM Education andApprenticeships on Economic Mobility: Evidence from the LaunchCode Program. EducationalEvaluation and Policy Analysis, 2023, https://doi.org/10.3102/01623737231199985.[4] A. Byrd. “Like Coming Home: African Americans Tinkering and Playing toward a
- Conference Session
- Software Engineering Division (SWED) Technical Session 3
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Mohit Chandarana, Codio; Sindhu Ramachandra, Codio; Joshua Ball, Codio; Maura Lyons, Codio; Phillip Snalune, Codio
- Tagged Divisions
-
Software Engineering Division (SWED)
teaching assistants:From intent-based chatbots to LLM-powered teaching assistants. Natural Language Processing Journal,8, 100101. https://doi.org/10.1016/j.nlp.2024.100101[3] Lyons, M., & Deitrick, E., & Ball, J. R. C. S. (2024, June), Characterizing Computing Students' Use ofGenerative AI. In Proceedings of the 2024 ASEE Annual Conference & Exposition, Portland, Oregon.https://doi.org10.18260/1-2--48453[4] M. A. Cardona, R. J. Rodriguez, and K. Ishmael, “Artificial Intelligence and the Future of Teachingand Learning Insights and Recommendations,” Office of Educational Technology, May 2023. Available:https://www2.ed.gov/documents/ai-report/ai-report.pdf[5] Lyu, W., Wang, Y., Chung, T. (R.), Sun, Y., & Zhang, Y. (2024). Evaluating
- Conference Session
- Software Engineering Division (SWED) Technical Session 1
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Afsaneh Minaie, Utah Valley University; Reza Sanati-Mehrizy, Utah Valley University
- Tagged Divisions
-
Software Engineering Division (SWED)
students with education in the fields of machine learning and artificialintelligence.References 1. Russell, S., & Norvig, “Artificial Intelligence: A Modern Approach”, Pearson 2020. 2. Aggarwal, C. C., “Neural Networks and Deep Learning: A Textbook”, Springer, 2018. 3. Haykin, Simon, “Neural Networks and Learning Machines”, Prentice Hall, 2009. 4. Haung, Lei and Kuo-Sheng Ma, “Introducing Machine Learning to First-Year Undergraduate Engineering Students through an Authentic and Active Learning Labware”, 2018 IEEE. 5. Wang, Chao, et. All, “Introducing Machine Learning in a Sophomore Signals and Systems Course”, IEEE Transactions on Education, 2021. 6. Carnegie Mellon University, https
- Conference Session
- Software Engineering Division (SWED) Technical Session 3
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Lynn Vonderhaar, Embry-Riddle Aeronautical University; Alexandra Davidoff, Embry-Riddle Aeronautical University - Daytona Beach; Sarah A Reynolds, Embry-Riddle Aeronautical University - Daytona Beach; Omar Ochoa, Embry-Riddle Aeronautical University - Daytona Beach; Massood Towhidnejad, Embry-Riddle Aeronautical University - Daytona Beach
- Tagged Topics
-
Diversity
- Tagged Divisions
-
Software Engineering Division (SWED)
, vol. 44, no. 1, pp. 6-15, 2012.[5] E. Gratz and L. Looney, "Faculty Resistance to Change: An Examination of Motivators and Barriers to Teaching Online in Higher Education," International Journal of Online Pedagogy and Course Design (IJOPCD), vol. 10, no. 1, 2020.[6] K. Schwaber and J. Sutherland, "The Scrum Guide," 2020.[7] T. B. Hilburn and M. Towhidnejad, "Chapter 10: Using the Scrum Development Process," in Software Engineering Practice: A Case Study Approach, New York, Chapman & Hall, 2020.[8] K. M. MacQueen, E. McLellan, K. Kay and B. Milstein, "Codebook Development for Team-Based Qualitative Analsyis," Field Methods, vol. 10, no. 2, 1998.[9] M. Paasivaara, S. Durasiewicz and C. Lassenius, "Using scrum in a globally
- Conference Session
- Software Engineering Division (SWED) Technical Session 2
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Ingrid Buckley, Florida Gulf Coast University; Bogdan Carbunar, Florida International University; Juan P Sotomayor, Florida International University; Peter J Clarke, Florida International University
- Tagged Divisions
-
Software Engineering Division (SWED)
Education, 65(1):40–45, 2022.[15] Rachel S. Smith. Guidelines for authors of learning objects. The New Media Consortium, 2004.[16] Inc Instructure. Canvas. Online, March 2025. https://www.instructure.com/canvas/about [Online] (Accessed Mar. 2025).[17] Aytac Gogus. Learning Objectives, pages 1950–1954. Springer US, Boston, MA, 2012.[18] Peter J. Clarke, Debra L. Davis, Ingrid A. Buckley, Geoff Potvin, Mandayam Thirunarayanan, and Edward L. Jones. Combining learning and engagement strategies in a software testing learning environment. ACM Trans. Comput. Educ., 22(2), November 2021.[19] Barbara Leigh Smith and Jean T. MacGregor. What is Collaborative Learning? In A.S. Goodsell, M.R. Maher, and V. Tinto, editors, Collaborative
- Conference Session
- Software Engineering Division (SWED) Technical Session 2
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Mike Borowczak, University of Central Florida; Andrea Carneal-Burrows Borowczak, University of Central Florida
- Tagged Divisions
-
Software Engineering Division (SWED)
Computer Science Education Research Conference, ser. CSERC ’11. Heerlen, NLD: Open Universiteit, Heerlen, Apr. 2011, pp. 21–31.[16] N. Nagappan, L. Williams, M. Ferzli, E. Wiebe, K. Yang, C. Miller, and S. Balik, “Improving the CS1 experience with pair programming,” ACM SIGCSE Bulletin, vol. 35, no. 1, pp. 359–362, Jan. 2003. [Online]. Available: https://dl.acm.org/doi/10.1145/792548.612006[17] K. Beck, M. Beedle, A. Van Bennekum, A. Cockburn, W. Cunningham, M. Fowler, J. Gren- ning, J. Highsmith, A. Hunt, R. Jeffries et al., “Manifesto for agile software development,” 2001.[18] T. Dyba and T. Dingsoyr, “What do we know about agile software development?” IEEE software, vol. 26, no. 5, pp. 6–9, 2009.[19] M. Brhel, H. Meth, A