Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Radana Dvorak; John L. Whiteman, Saint Martin's University

Tagged Divisions

Computing and Information Technology Division (CIT)

between the DoD, Microsoft, and Universities. Radana is currently an associate professor and a Chair of the CS Dept. at Saint Martin’s University.Mr. John L. Whiteman, Saint Martin’s University John L. Whiteman is a Senior Security Engineer for Lam Research in Oregon and a part-time adjunct cybersecurity instructor at Saint Martin’s University. John received a Master of Science in Computer Science from Georgia Tech University. John holds multiple security certifications, including CISSP and CCSP. ©American Society for Engineering Education, 2024 Integrating Cybersecurity in BSCS & BSIT Senior Design Capstone Projects: A Case Study John Whiteman

Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Afsaneh Minaie, Utah Valley University; Reza Sanati-Mehrizy, Utah Valley University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

Electrical Engineering, Computer Engineering,Computer Science, Computational Data Science, and Software Engineering. This paperpresents the progress report of this scholarship program and its impact on the institution, itsComputer Science and Engineering Programs, and the community. Also, it presents the effect ofthe high-impact practices in this program in retention of computer science and engineeringstudents. High-impact practices reported include Capstone Courses, Collaborative Projects,First-Year Experiences, Internships, Undergraduate Research, and Writing Intensive Courses.IntroductionThe National Science Foundation (NSF) established the Scholarships in STEM (S-STEM)program in accordance with the American Competitiveness and Workforce

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Venkata Alekhya Kusam, University of Michigan, Dearborn; Larnell Moore, University of Michigan, Dearborn; Summit Shrestha, University of Michigan, Dearborn; Zheng Song, University of Michigan, Dearborn; Jin Lu, University of Georgia; Qiang Zhu, University of Michigan, Dearborn

Tagged Divisions

Computing and Information Technology Division (CIT)

Paper ID #41083Generative-AI Assisted Feedback Provisioning for Project-Based Learning inCS CoursesVenkata Alekhya Kusam, University of Michigan, Dearborn Venkata Alekhya Kusam is currently pursuing a Master’s degree in Computer and Information Science at the University of Michigan-Dearborn. She has always been fascinated by the transformative power of technology. Her research interests lie in generative AI, large language models, and natural language processing (NLP).Larnell Moore, University of Michigan, Dearborn Larnell Moore is an undergraduate student in his final year pursuing a Bachelor’s degree in Computer and

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sharifa Alghowinem, Massachusetts Institute of Technology; Aikaterini Bagiati, Massachusetts Institute of Technology; Andrés F. Salazar-Gómez, Massachusetts Institute of Technology; Cynthia Breazeal, Massachusetts Institute of Technology

Tagged Divisions

Computing and Information Technology Division (CIT)

projects. Thisresearch also analyzes how adult learners interactively learn, reflect, and apply their AIknowledge to examples drawn from their workplace, while improving their understanding andreadiness to implement AI technologies effectively.Our three-day workshop centered around enriching and engaging learning about AI technologies,ethics, and leadership, featuring topics like supervised learning and bias, AI strategy, andgenerative AI. Apart from discussions, the workshops incorporated hands-on learning with digitaltools, robots, problem-solving scenarios, and a capstone project. Participants were 44 leadersfrom a large government organization. Their learning was measured through pre- andpost-questionnaires on AI leadership, knowledge checks

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Barry M. Lunt, Brigham Young University; Mudasser Fraz Wyne, National University; David A Wood, Brigham Young University

Tagged Divisions

Computing and Information Technology Division (CIT)

Activities for the 27,404 2017 Classroom and Outreach A Comparison of Network Simulation and Emulation 9,760 2016 Virtualization Tools A Taste of Python – Discrete and Fast Fourier Transforms 6,233 2015 Design of a Bluetooth-Enabled Wireless Pulse Oximeter 5,644 2019 Capstone Projects in a Computer Engineering Program Using 5,558 2016 Arduino A Real-time Attendance System Using Deep-learning Face 5,225 2020 Recognition STEM Outreach: Assessing Computational Thinking and 4,288 2017 Problem Solving A Methodology for Automated Facial

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tarik Eltaeib, Farmingdale State College ; M. Nazrul Islam, State University of New York; Qinghai Gao

Tagged Divisions

Computing and Information Technology Division (CIT)

Application Administrator at a Mitsubishi Power Systems, where he built state-of-the-art Enterprise and Machine Learning Applications. Academic positions include Adjunct Professor at the University of Bridgeport, CT, and Assistant Professor – Computer Security where he is tenured at the School of Engineering Technology, Farmingdale State College - State University of New York. He has 6 years of higher education experience, and a total of 14 years. He has presented and published numerous conference papers, journal articles and contributed to a book chapter on Large-scale Evolutionary Optimization. He has excelled at going the extra mile, teaching not only his own classes but an additional Capstone projects, doing

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bhuvaneswari Gopal, University of Nebraska, Lincoln

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

].Survey Design and MethodologyThis research project was reviewed and determined to be exempt by our college’s InstitutionalReview Board (IRB). Our experimental setup consisted of two groups of students at a largeMidwestern R1 University, in an undergraduate, pre-capstone SE course. We utilized a quasi-experimental pretest-posttest hybrid between groups and within groups design for this study. Thecontrol and treatment groups consisted of successive cohorts of sophomores/juniors from CS andComputer Engineering, one section each. This SE course was a mandatory component of theiracademic progression towards earning their degree.The treatment group was taught using PI while the control group received instruction throughtraditional lectures. The