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

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Diversity

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Computing and Information Technology Division (CIT)

Paper ID #44219Progress Report on BE-TEC: An NSF S-STEM ProjectDr. Afsaneh Minaie, Utah Valley University Afsaneh Minaie is a Professor of Electrical and Computer Engineering at Utah Valley University. She received her B.S., M.S., and Ph.D. all in Electrical Engineering from the University of Oklahoma. Her research interests include gender issues in the academic sciences, embedded system, internet of things, wireless sensor network, and robotics.Dr. Reza Sanati-Mehrizy, Utah Valley University Reza Sanati-Mehrizy is a professor of Computer Science Department at Utah Valley University, Orem, Utah. He received his M.S. and

Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nivedita Kumar, Florida International University; Stephen Secules, Florida International University; Maimuna Begum Kali, Florida International University; Tiana Solis, Florida International University; Atota Bedane Halkiyo, Arizona State University; Mark Allen Weiss, Florida International University; Michael Georgiopoulos, University of Central Florida; Jacqueline Faith Sullivan, University of Central Florida; Ken Christensen P.E., University of South Florida; Angela Estacion

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Computing and Information Technology Division (CIT)

Paper ID #41948Shifts in Perceptions of Career Pathways: The Impact of an S-STEM Programon Lower-Income Computing StudentsMs. Nivedita Kumar, Florida International University Nivedita is pursuing her Ph.D. in Engineering & Computing Education at Florida International University. She has a background in computer science engineering. For her dissertation, Nivedita aims to uncover the caste-based inequities within engineering & computing education.Dr. Stephen Secules, Florida International University Stephen is an Assistant Professor Engineering and Computing Education at Florida International University. He has a

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2023 ASEE Annual Conference & Exposition

Authors

David Zabner, Tufts University; Trevion S Henderson, Tufts University

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Computing and Information Technology Division (CIT)

Paper ID #39391WIP: Skip the Lecture: A Decoding First Approach to IntroductoryComputing EducationDavid Zabner, Tufts UniversityTrevion S Henderson, Tufts University Trevion Henderson is Assistant Professor of Mechanical Engineering at Tufts University. He earned his Ph.D. in Higher Education at the University of Michigan. ©American Society for Engineering Education, 2023 (WIP) Skip the Lecture: A Decoding First Approach to Introductory Computing Education David Zabner Trevion Henderson david.zabner@tufts.edu

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alejandra Noemi Vasquez, Tufts University; Trevion S Henderson, Tufts University; David Zabner, Tufts University

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Computing and Information Technology Division (CIT)

Paper ID #42748Algorithmic Thinking: Why Learning Cannot Be Measured By Code-Correctnessin a CS ClassroomMs. Alejandra Noemi Vasquez, Tufts UniversityTrevion S Henderson, Tufts University Trevion Henderson is Assistant Professor of Mechanical Engineering and STEM Education at Tufts University. He earned his Ph.D. in Higher Education at the University of Michigan.Mr. David Zabner, Tufts University ©American Society for Engineering Education, 2024 Algorithmic Thinking: Why Learning Cannot Be Measured By Code-Correctness in a CS Classroom

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anthony Daniel Jones, Texas A&M University; Michael S Rugh, Texas A&M University; Meet Mahesh Gamdha, Texas A&M University; Tristen James Norman, Texas A&M University; Rose Myers, Texas A&M University; Kailee Meek, Texas A&M University; Amir Hossein Khazaei, Texas A&M University; Sherry Minh Nguyen, Texas A&M University; Ethan Thai Nguyen, Texas A&M University

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Computing and Information Technology Division (CIT)

such as SERA (2023), Sigma Nursing Conference (2023), Frontiers of Education (2023).Dr. Michael S Rugh, Texas A&M University Michael S. Rugh is an Associate Research Scientist for the LIVE Lab at Texas A&M University. He has a B.S. and M.S. in Mathematics and a PhD in Curriculum and Instruction. He received the Graduate Merit Fellowship from the Association of Former Students and was the College of Education and Human Development Distinguished Honor Graduate for Fall 2021. He has had multiple years of K–16 teaching in mathematics and science. As a research scientist, he leads research teams to study the effects of products created by the LIVE Lab which include educational video games, apps, simulations, and

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

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Computing and Information Technology Division (CIT)

Blocks(i) We will utilize the code blocks editor for listening to an Arduino input pin. Next, the analogvalue or digital state will be print out in the SerialM onitor window. To open the code panel, astudent needs to click the “Code” button.(ii) Next, s/he is asked to click on the SerialM onitor which is located at the bottom of the codepanel.(iii) To run the Arduino code, s/he should click “Start Simulation”, and observe the numbers inthe Serial Monitor during the interaction with the potentiometer. As the potentiometer input valuechanges by moving the pointer on the dial, the serial output value will change accordingly. Sincethe circuit includes two independent Arduinos, students can click back and forth between the twoArduinos while the

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kwansun Cho, University of Florida; Umer Farooq, Texas A&M University; Saira Anwar, Texas A&M University

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Computing and Information Technology Division (CIT)

is for novice programmersAbstractIn this work-in-progress paper, the emphasis is to understand the perceptions about whichlanguage should be the first programming language. Computer programming is a fundamentalskill for novice engineers. However, over time, multiple programming languages have emergedand are being used as the first language for students. While in modern times, many schoolsaround the globe, particularly in the USA, consider Python’s syntax simplicity and versatility asa way to go, other places and traditional computer scientists consider C++’s efficiency as theirchoice. Similarly, many engineering schools introduce MATLAB as the first programminglanguage. While these decisions are made at the

Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aadithyan Vijaya Raghavan, Cleveland State University; Chansu Yu, Cleveland State University

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Computing and Information Technology Division (CIT)

4 shows the snippet ofkeywords extracted from a document [21], along with their score (S). Score (S) is based onkeyword features (term casing, term position, term frequency normalization, term relatedness tocontext, term different sentence) and is computed by the YAKE! Algorithm [31]. Lower the valueof S, the more significant the keyword [31].Third. To eliminate similar keywords, we employed a de-duplication process based on similarityalgorithms such as Levenshtein similarity [35], Jaro-Winkler [36], and Hamming Distance[37, 38, 39]. We used Levenshtein similarity because it works on the principle of the minimumnumber of single-character edits required to change one word into the other [38].For example, take a group of similar keywords like

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2023 ASEE Annual Conference & Exposition

Authors

James R. Mallory, Rochester Institute of Technology (COE); Edmund Lucas, National Technical Institute for the Deaf; William Arnold

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Computing and Information Technology Division (CIT)

Paper ID #36938Teaching IoT in Both Physical and Virtual EnvironmentsProf. James R. Mallory, Rochester Institute of Technology (COE)Edmund Lucas, National Technical Institute for the DeafWilliam Arnold ©American Society for Engineering Education, 2023Teaching IoT in Both Physical and Virtual EnvironmentsAuthors: Arnold, W., Fontaine, J., Griggs, S., Huff, G., Johnson, D., Linares, C., Patel, S.,Reader, J., Roman, J., Sawaqed, Y., Yadav, R., Lucas, E. & Mallory, J. National TechnicalInstitute for the Deaf / Rochester Institute of TechnologyPrimary Division: Computing and Information Technology DivisionSecondary Division: Education

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jeff Erickson, University of Illinois Urbana-Champaign; Jason Xia, University of Illinois at Urbana - Champaign; Eliot Wong Robson; Tue Do; Aidan Tzur Glickman; Zhuofan Jia; Eric Jin; Jiwon Lee; Patrick Lin; Steven Pan; Samuel Ruggerio; Tomoko Sakurayama, University of Illinois, Urbana-Champaign ; Andrew Yin; Yael Gertner, University of Illinois, Urbana-Champaign; Brad Solomon, University of Illinois, Urbana-Champaign

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Computing and Information Technology Division (CIT)

Notes in Computer Science, no. 12225. Springer, 2020, pp. 3–14. [4] L. D’Antoni, D. Kini, R. Alur, S. Gulwani, M. Viswanathan, and B. Hartmann, “How can automatic feedback help students construct automata?” ACM Trans. Comput.-Hum. Interact., vol. 22, no. 2, pp. 9:1–9:24, 2015. [5] E. L. Deci, H. Eghrari, B. C. Patrick, and D. R. Leone, “Facilitating internalization: The self determination theory perspective,” Journal of Personality, vol. 62, pp. 119–142, 1994. [6] E. L. Deci and R. Ryan, “Self-determination theory,” in Handbook of Theories of Social Psychology, P. A. M. van Lange, A. W. Kruglanski, and E. T. Higgins, Eds. Sage Publications Ltd., 2012, vol. 1, ch. 20, pp. 416–436. [7] Y. Du, A. Luxton-Reilly, and P. Denny, “A

Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sagnik Nath, University of California, Santa Cruz; Jennifer Quynn, University of California, Santa Cruz; Jose Renau

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Diversity

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Computing and Information Technology Division (CIT)

responsive teaching," Journal of teacher education, vol. 53, no. 2,pp. 106- 116, 2002.[02]R. T. White and R. F. Gunstone, "Metalearning and conceptual change," International Journal ofScience Education, vol. 11, no. 5, pp. 577-586, 1989.[03]D. Kuhn and S. Pearsall, "Developmental origins of scientific thinking," Journal of cognition andDevelopment, vol. 1, no. 1, pp. 113-129, 2000.[04]T. Litzinger, L. R. Lattuca, R. Hadgraft and W. Newstetter, "Engineering education and thedevelopment of expertise," Journal of Engineering Education, vol. 100, no. 1, pp. 123-150, 2011.[05]J. R. Frederiksen, M. Sipusic, M. Sherin and E. W. Wolfe, " Video portfolio assessment: Creating aframework for viewing the functions of teaching.," Educational Assessment, vol. 5

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Shamima Mithun, Indiana University-Purdue University, Indianapolis; Xiao Luo, Oklahoma State University

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Diversity

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Computing and Information Technology Division (CIT)

% 60% 40% 18% 15% 20% 0% CIT 12000 CIT 21400 Agree Neither agree or disagree Table 7: Perceptions of Mentees towards Mentoring CIT 12000 CIT 21400 The mentors gave me the sense that s/he and I The mentors modeled how to overcome challenges shared similarities in the background. and reach personal goals. The mentors helped me explore resources to The mentors showed me how to treat failed succeed academically. attempts as a

Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nivedita Kumar, Florida International University; Bailey Bond-Trittipo, Florida International University; Maimuna Begum Kali, Florida International University; Stephen Secules, Florida International University; Angela Estacion, WestEd; Mark Allen Weiss, Florida International University; Michael Georgiopoulos, University of Central Florida; Ken Christensen P.E., University of South Florida; Tiana Solis, Florida International University; Jacqueline Faith Sullivan, University of Central Florida

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Diversity

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Computing and Information Technology Division (CIT)

Affecting the Future Career Pathway Decisions of Lower-income Computing Students1. IntroductionWithin research on broadening participation in computing, the experience and perspectives ofundergraduate students have been important elements of exploration. As undergraduate studentsare experts of their own experience, conducting research that focuses on understanding theirperspective can help those who organize programmatic efforts to respond to student needs andconcerns. This paper emerges from the context of a specific National Science Foundation (NSF)-funded Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program.As with all S-STEM programs, Florida Information Technology Graduation

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

J Cecil, Oklahoma State University; Avinash Gupta, University of Illinois at Urbana-Champaign

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Computing and Information Technology Division (CIT)

an opportunity to create computer based art. Assessment of learning was through pre- and post-testquestions . A total of eight students were involved in this study; four from middle school (grades 6, 7 and 8)and four from high school (grades 9 to 12).Assembly VLEsTen students interacted with the Assembly VLEs (5 middle school s, 5 high school). Among the middle schoolparticipants, 3 students were able to understand the target assembly concepts in the first round of learninginteractions; two of the students needed an additional round of learning interactions for learning the sameconcepts. Among the high school students, four students were able to demonstrate an understanding of allconcepts after one round of interactive sessions with the VLEs

Conference Session

Computing and Information Technology Division (CIT) Technical Session 9

Collection

2023 ASEE Annual Conference & Exposition

Authors

Shamima Mithun, Indiana University - Purdue University Indianapolis; Rajagopal Sankaranarayanan, University of Texas at Austin

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Computing and Information Technology Division (CIT)

CIT21400 course. In this study, we integrated the microlearning instructional approach into CIT 21400to help engage students and retain the knowledge gained through the introduction to datamanagement course. CIT 21400 is a required class for all CIT students and a prerequisite for allother courses in the data-management concentration. Figure 1 shows the current plan of study forthe CIT data-management concentration; we draw particular attention to CIT 21400’s position asa prerequisite course for all data-management courses. Approximately 140 students who enroll inCIT 21400 will directly benefit per academic year. We anticipate seeing learning and performancegains over time as students continue in their programs as an outcome of our research

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bhuvaneswari Gopal, University of Nebraska, Lincoln

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Diversity

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Computing and Information Technology Division (CIT)

, has gained attention from the computingeducation community over the last few years [1]. The focus in PI is active student engagementthrough discussion, involving students in the answering and discussion of multiple-choicequestions. This is typically accomplished by obtaining real-time student feedback through theuse of student response systems in class as the students learn the topic.SOLID is an acronym that denotes five basic principles widely used in designing software builton the .NET platform. S stands for SRP (Single Responsibility Principle), O for OCP (OpenClosed Principle) L for LSP (Liskov Substitution Principle), I for ISP (Interface SegregationPrinciple) D for DI (Dependency Inversion Principle). The main purpose of these

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Fadhla Binti Junus, Purdue University at West Lafayette (PPI); Sean P. Brophy, Purdue University at West Lafayette (COE)

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Computing and Information Technology Division (CIT)

indrawing our conclusion. Nevertheless, this work has an added value as a basis for us toconduct more extensive research in the future. Additionally, academics will have a wideropportunity to explore deep learning to produce more novel educational solutions since ourstudy discovered that only a small number of studies had investigated the application of thisAI technology.References[1] M. King, R. Cave, M. Foden, and M. Stent, “Personalised education From curriculum to career with cognitive systems,” 2016.[2] T. J. Sejnowski, The deep learning revolution. Cambridge: The MIT Press, 2018.[3] J. S. Groff, “Personalized learning: The state of the field & future directions,” 2017. [E-book]. Available: https://dam

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ashish Aggarwal, University of Florida; Griffin Pitts, University of Florida; Sage Bachus, University of Florida; Sarah Rajkumari Jayasekaran, University of Florida; Saira Anwar, Texas A&M University

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Diversity

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Computing and Information Technology Division (CIT)

253 600Students were asked to self-report their GPA. GPA was based on a scale of 4, with an “A” being a4.00, a “B” being a 3.00, a “C” being a 2.00, a “D” being a 1.00, and an “S” being a 0.00. Someclasses also used a “+” or “–” system. A “+” adds 0.33 to the base grade, while a “-” subtracts0.33. For example, a “B+” would quantitatively be a 3.33 (3.00 + 0.33), while a “B-” would be a2.77 (3.00 - 0.33).Data was gathered on students’ expected majors. Out of a total of 600 students, 311 (51.8%) weremechanical and/or aerospace engineering students, 114 (19.0%) were civil and/or environmentalengineering students, 102 (17.0%) were biomedical engineering students and 73 (12.2%) studentshad other majors. This data can be seen in Figure 2

Conference Session

Computing and Information Technology Division (CIT) Technical Session 8

Collection

2023 ASEE Annual Conference & Exposition

Authors

David C. Brown, University of North Carolina at Charlotte; Erfan Al-Hossami, University of North Carolina at Charlotte; Zhuo Cheng; Alyssa Lasmarias Alameda; Tia Nicole Johnson; Mesbah Uddin, University of North Carolina at Charlotte; Daniel Andrew Janies

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Computing and Information Technology Division (CIT)

Review of Centrality Measures in Social Networks,” Business & Information Systems Engineering, vol. 2, no. 6, pp. 371–385, Dec. 2010, doi: 10.1007/s12599-010-0127-3.[10] K. Das, S. Samanta, and M. Pal, “Study on centrality measures in social networks: a survey,” Social Network Analysis and Mining, vol. 8, no. 1, p. 13, Feb. 2018, doi: 10.1007/s13278-018-0493-2.[11] R. J. Abdill and R. Blekhman, “Tracking the popularity and outcomes of all bioRxiv preprints,” Elife, vol. 8, Apr. 2019, doi: 10.7554/eLife.45133.[12] B.-C. Björk and D. Solomon, “The publishing delay in scholarly peer-reviewed journals,” J. Informetr., vol. 7, no. 4, pp. 914–923, Oct. 2013, doi: 10.1016/j.joi.2013.09.001.[13] R. S. Mehta and N. A. Rosenberg

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Abdulmalek Al-Gahmi, Weber State University; Kyle D. Feuz, Weber State University; Yong Zhang, Weber State University

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Diversity

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Computing and Information Technology Division (CIT)

. Zhang. "On Time-based Exploration of LMS Data andPrediction of Student Performance", 2022 ASEE Annual Conference & Exposition,Minneapolis, MN, 2022, August. ASEE Conferences, 2022.[2] R. Conijn, C. Snijders, A. Kleingeld and U. Matzat, "Predicting Student Performance fromLMS Data: A Comparison of 17 Blended Courses Using Moodle LMS," IEEE Transactions onLearning Technologies, vol. 10, no. 01, pp. 17-29, 2017.[3] D. Gašević, S. Dawson, T. Rogers and D. Gasevic, "Learning analytics should not promoteone size fits all: The effects of instructional conditions in predicting academic success," TheInternet and Higher Education, vol. 28, pp. 68-84, 2016.[4] M. Riestra-Gonza ́lez, M. d. P. Paule-Ruíz and F. Ortin, "Massive LMS log data analysis

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Stephanie Jill Lunn, Florida International University; Edward Dillon, Morgan State University; Zubayer Ahmed Sadid, Florida International University

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Computing and Information Technology Division (CIT)

for the technical interview(s)1 week or less before their interview [8].While ideally the industry would find alternative approaches to assessing candidates, currenthiring practices are so widespread that they are unlikely to be changed anytime soon. So what canbe done to help students excel in technical interviews and aid in their transition to the workforce?How can higher education institutions foster the knowledge, capabilities, skills, and dispositionsrequired for students to succeed in the workplace and enhance their employability?In this study, we sought to explore the opportunities to integrate such awareness and training intocurricula. To better understand where it may be feasible to do so within existing academic andprogrammatic

Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sreekanth Gopi, Kennesaw State University; Nasrin Dehbozorgi, Kennesaw State University

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Diversity

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Computing and Information Technology Division (CIT)

. L IMITATIONS OF THE S TUDY While the study’s approach offers innovative methods to analyze and provide health recommendations basedon HRV data, it was limited to a small number of participants within a selected dataset. Incorporating additional 2 https://github.com/datasci888/ASEE June 2024methodologies, especially the application of neural networks, holds promise for improving accuracy, particularlywhen dealing with larger datasets. Further expansion in demographics, such as including participants from diverseage groups, skin colors, and geographical locations, could provide a more comprehensive understanding of themodel’s effectiveness across various populations. F UTURE D

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

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Computing and Information Technology Division (CIT)

new, marketable job skills,including IoT hardware, cloud technologies, cryptography, planning, budgeting, intellectualproperty rights, and networking. However, more importantly, the students delivered a productwith their newfound skills to help protect people's privacy. Team SIHDD (from left to right): Garrett Orwig, Nadaa Elbarbary, Krizia Ragotero, Hayden JonesReferences[1] S. Sami, B. Sun, S. Tan, and J. Han, "LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors," in SenSys '21, Coimbra, Portugal. November 15- 17, 2021. Available: https://dl.acm.org/doi/pdf/10.1145/3485730.3485941[2] Z. Yu, Z. Li, Y. Chang, S. Fong, J. Liu, and N. Zhang, "HeatDeCam: Detecting

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Abdulmalek Al-Gahmi, Weber State University

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Computing and Information Technology Division (CIT)

institutions to provide timelysupport to struggling students, thereby improving learning outcomes and student retention.Bibliography[1] R. Umer, A. Mathrani, T. Susnjak and S. Lim, "Mining Activity Log Data to Predict Student'sOutcome in a Course," in Proceedings of the 2019 International Conference on Big Data andEducation, New York, NY, USA, 2019.[2] S. V. Goidsenhoven, D. Bogdanova, G. Deeva, S. v. Broucke, J. D. Weerdt and M. Snoeck,Predicting Student Success in a Blended Learning Environment, New York, NY, USA:Association for Computing Machinery, 2020.[3] P. Shayan and M. v. Zaanen, "Predicting Student Performance from Their Behavior inLearning Management Systems," International Journal of Information and EducationTechnology, vol. 9, no. 01, pp

Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2023 ASEE Annual Conference & Exposition

Authors

Byul Hur, Texas A&M University; Nathan Alexander; James Kyle McIlhaney; Christian Hurst; Leo Colom

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Computing and Information Technology Division (CIT)

, W. D. (2015). Programming Robots with ROS: a practical introduction tothe Robot Operating System. " O'Reilly Media, Inc.".[11] Cañas, J. M., Perdices, E., García-Pérez, L., & Fernández-Conde, J. (2020). A ROS-based open tool forintelligent robotics education. Applied Sciences, 10(21), 7419.[12] Hur, B., Zhan, W., & Ryoo, B. Y. (2022). Integrated multidisciplinary capstone projects of an underwater robotand a quadcopter for building structural analysis. In 2022 ASEE Annual Conference.[13] Velamala, S. S., Patil, D., & Ming, X. (2017, December). Development of ROS-based GUI for control of anautonomous surface vehicle. In 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp.628-633). IEEE.[14] Megalingam, R. K

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

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Computing and Information Technology Division (CIT)

. Practical experience is essential for acquiring the skills and knowledgenecessary to safeguard against and address cyber dangers in real-life situations.The integration of these tools and resources inside a Cybersecurity VM lab offers a full array for training,experimentation, and skill development in many areas of cybersecurity. They enable learners andpractitioners to stay ahead in the rapidly evolving field of cybersecurity by offering hands-on experiencewith the tools and techniques used in real-world scenarios.Reference1. Aziz, E.-S., S.K. Esche, and C. Chassapis, Design and implementation of a virtual laboratory for machine dynamics. International Journal of Online Engineering, 2010. 6(2).2. Le, T., A survey of live virtual

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

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Computing and Information Technology Division (CIT)

rate for computer science students,”ACM SIGCSE Bulletin, vol. 37, no. 2, pp. 103–106, Jun. 2005, doi: 10.1145/1083431.1083474.[6] K. J. Bunker, L. E. Brown, L. J. Bohmann, G. L. Hein, N. Onder, and R. R. Rebb,“Perceptions and influencers affecting engineering and computer science student persistence,” in2013 IEEE Frontiers in Education Conference (FIE), 2013, pp. 1138–1144.[7] B. Burd et al., “The internet of things in undergraduate computer and information scienceeducation: Exploring curricula and pedagogy,” Jul. 2018. doi:https://doi.org/10.1145/3293881.3295784.[8] M. Felleisen, R. B. Findler, M. Flatt, and S. Krishnamurthi, “The structure and interpretationof the computer science curriculum,” Journal of Functional Programming, vol. 14, no

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Radana Dvorak, Saint Martin's University; Farzin Bahadori, Saint Martin's University

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Computing and Information Technology Division (CIT)

, S, and T-gates and analyzing the results. 2. Create Quantum-Dice game using Qiskit applying Hadamard gate to create a superposition state. 3. Create a Quantum Coin-Flip game, Quantum Tic-Tac-Toe, and Quantum Rock-Paper Scissors game using different quantum gates. Students should use IBM Quantum Simulator 4. Create quantum search Algorithm using simple Grover Search Algorithm and analyzing the results 5. Using IBM Qiskit, implement QFT Algorithm on different states such as a five-qubit state of ‘10110’ 6. Using the Provider Object, find how many quantum systems do they have access to for 5 or more qubits. 7. Using IBM Simulator, create and draw a schedule with Gaussian Waveform from the

Conference Session

Computing and Information Technology Division (CIT) Technical Session 9

Collection

2023 ASEE Annual Conference & Exposition

Authors

Drew Alex Clinkenbeard, California State University Monterey Bay; Joshua B. Gross, California State University Monterey Bay

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Computing and Information Technology Division (CIT)

will typically increasethe pass rate of a course. This course is also one of the first programming classes taken by transferstudents which may contribute to the high DFW rate. Future work will include a comparison ofthe DFW rates between historic offerings and those that have made use of Plickers.In conclusion using Plickers in class is a positive experience for both the instructor and the stu-dents. Since each class has a clear structure of: Plicker question, lecture, break, Plicker question,lecture/activity, quiz, students are never doing any one task for very long. This aids in keepingstudents engaged and on task.References [1] L. Porter, D. Bouvier, Q. Cutts, S. Grissom, C. Lee, R. McCartney, D. Zingaro, and B. Simon, “A Multi

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mahima Agumbe Suresh, San Jose State University

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Diversity

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Computing and Information Technology Division (CIT)

2’s message to bird 3 6. Panda then shares bird 1’s message to bird 4 7. Bird 4 flies to snail 2 8. Bird 4 passes on the message to snail 2Discussion prompts: 1. Break down the delay caused by Panda – how much of it is because of waiting? 2. Can we categorize the different sources of delay? 3. (optional to use if time permits) How does Panda deal with messages from different sources going to different destinations?The implementation of the activity was done in-class as an activity for a planned duration of 25minutes, with the following breakdown. 1. 5-minute setup: Students first form groups of 3-4 students. They are first given the time to read the scenario, followed by a check-in to ask for clarifications. 2. 5