Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Joseph Benin, United States Coast Guard Academy; William Randall; Angela G Jackson-Summers, United States Coast Guard Academy

Tagged Divisions

Computing and Information Technology Division (CIT)

.[10] C. Brumfield and B. Haugli, Cybersecurity Risk Management: Mastering the Fundamentals Using the NIST Cybersecurity Framework, Wiley, 2021.[11] United States Coast Guard Academy, "Catalog of Courses 2021-2022," 2022. [Online]. Available: https://cgaportal.uscga.edu/academics/registrar/Course%20Catalogs/COURSE%20CATALOG%2 02021-2022.pdf. [Accessed 22 January 2023].Appendix I – Cyber Risk Management Course 7385 Spring 2022 Syllabus U.S. Coast Guard Academy Department of Engineering Cyber Risk Management (7385) Course SyllabusIntroductionCourse: 7385 Cyber Risk ManagementCourse Offering: Spring

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Catalina Aranzazu-Suescun, Embry-Riddle Aeronautical University; Luis Felipe Zapata-Rivera

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

identify what the studentsshould be able to do and know at the end of the course or class. These learning outcomes arestated in the course syllabus and are reviewed by the students at the beginning of the course.However, normally the students do not review them frequently during the semester.In 2022, a detailed list of learning outcomes was defined for the Introduction to Cyber Securitycourse for Majors. This list includes a granular set of outcomes that students should achieve aftereach class of the semester. Using the Learning Management System (LMS), these outcomes areincluded in each week’s module and are also reviewed at the beginning of each class. In thisway, students are constantly in contact with this information.This paper presents the

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Debarati Basu, Embry Riddle Aeronautical University; Harini Ramaprasad, University of North Carolina at Charlotte

Tagged Divisions

Computing and Information Technology Division (CIT)

. Students are often unaware of what constitutes a violation and of its potential consequences. To address this, we design a standalone, self-paced, online Academic Integrity course module targeted at CS students. Our module aims to increase student awareness about academic misconduct, inform students about the potential consequences of academic misconduct, and educate students about strategies and resources to avoid academic misconduct, incorporating scenarios and information specifically relevant to CS throughout. In this paper, we present the details of the module and report our experiences and analysis from deploying it in eight courses within the CS program at UNC Charlotte in the Spring and Fall of 2021

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Chris Marriott; Menaka Abraham; Heather E. Dillon, University of Washington

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

in the course and their own level of anxiety. A total of 69 studentscompleted the survey where 84% reported the method reduced anxiety (4 or 5 on a Likert scale). Thestudy found that labor based grading was an effective way to reduce student anxiety, reduce academicintegrity issues, and improve student motivation.IntroductionThe COVID-19 pandemic resulted in rapid changes to many aspects of higher education in STEMincluding the delivery of material, assessment of work, and all communication moving online. Thesechanges upset the status quo and exposed problem areas in our traditional approaches to teaching and ledus to explore a method known as labor-based grading. Labor-based grading is a methodology wherestudent grading is focused on the

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2023 ASEE Annual Conference & Exposition

Authors

Hye Rin Lee, University of Delaware; Sotheara Veng, University of Delaware; Yiqin Cao, University of Delaware; Juliana Baer, University of Delaware; Teomara Rutherford, University of Delaware; Austin Cory Bart

Tagged Topics

Diversity

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Computing and Information Technology Division (CIT)

Rutherford, University of DelawareAustin Cory Bart ©American Society for Engineering Education, 2023 Work-in-progress: Exploring the computer science curriculum from undergraduate students’ perspectives Abstract—With large attrition rates among computer science (CS) majors, it is clearthat CS undergraduates face challenges completing their degrees. Although much researchhas tested various teaching strategies and how course outcomes are associated with drop-out rate, little attention has been paid to using a bottom-up, student-centered, qualitativeapproach with a large sample to understand how to improve required CS courses andcurricula. In the present study, we investigated CS college students

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Teresa Piliouras, Technical Consulting & Research, Inc. ; Mengqian Wu, Technical Consulting Research, Inc. ; Steffi N. Crasto, Center for Advanced and Emerging Technologies (CARET); Pui Lam (Raymond) Yu, Technical Consulting & Research, Inc.; Navarun Gupta, University of Bridgeport

Tagged Divisions

Computing and Information Technology Division (CIT)

needed. When students post and reply to messages, and read the messages of their peers and give them feedback, this improves the quality of the learning environment dynamics and the richness of the content delivery.• Community Policies: These specify rules and standards of ethical behavior that must be followed. These should be shared with teachers and students at the start of the program. This helps to avoid confusion and inappropriate behavior. Web-based learning requires more internal self-regulation and external supervision. Community policies can provide a schema to help keep specific learning groups engaged in their online courses from beginning to end.In an educational context, the Activity model is a reminder that