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)

laboratories for cybersecurity. Sensors, 2020. 20(11): p. 3011.8. Vigna, G., Teaching hands-on network security: Testbeds and live exercises. Journal of information warfare, 2003. 2(3): p. 8-24.9. Li, C., et al. BAC: Bandwidth-aware compression for efficient live migration of virtual machines. in IEEE INFOCOM 2017-IEEE Conference on Computer Communications. 2017. IEEE.10. Helali, L. and M.N. Omri, A survey of data center consolidation in cloud computing systems. Computer Science Review, 2021. 39: p. 100366.11. Li, B., B. Li, and F. Liu, Cloud and data center performance [Guest Editorial]. IEEE Network, 2013. 27(4): p. 6-7.12. Topham, L., et al., Cyber security teaching and learning laboratories

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

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Computing and Information Technology Division (CIT)

.[14] L. Porter, D. Bouvier, Q. Cutts, S. Grissom, C. Lee, R. McCartney, D. Zingaro and B. Simon, “ A multi-institutional study of peer instruction in introductory computing.”, in Proceedings of the 47th ACM Technical Symposium on Computing Science Education, Feb. 2016, pp. 358-363.[15] L. Porter, C.B. Lee, B. Simon, Q. Cutts, and D. Zingaro, D., “Experience report: a multi- classroom report on the value of peer instruction.”, in Proceedings of the 16th annual joint conference on Innovation and technology in computer science education, Jun. 2011, pp. 138-142.[16] L. Porter, C.B. Lee, B. Simon, and D. Zingaro, D., “Peer instruction: Do students really learn from peer discussion in computing?.”, in Proceedings of the

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)

). A systematic literature review to identifyempirical evidence on the use of computer games in business education and training. InEuropean Conference on Games Based Learning (p. 232). Academic Conferences InternationalLimited.[7] Ashinoff, B. K. (2014). The potential of video games as a pedagogical tool. Frontiers inPsychology, 5, 1109. https://doi.org/10.3389/fpsyg.2014.01109[8] Rosas, R., Nussbaum, M., Cumsille, P., Marianov, V., Correa, M., Flores, P., ... & Salinas,M. (2003). Beyond Nintendo: design and assessment of educational video games for first andsecond grade students. Computers & Education, 40(1), 71-94. https://doi.org/10.1016/S0360-1315(02)00099-4[9] Solorzano Alcivar, N. I., Pincay Lino, A. J., Toapanta Cedeno, G. N

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

Tagged Divisions

Computing and Information Technology Division (CIT)

, G. L. Ramalho, and T. P. Falcão, "A systematic literature review on teaching and learning introductory programming in higher education," IEEE Transactions on Education, vol. 62, no. 2, pp. 77-90, May 2019, doi: 10.1109/te.2018.2864133[26] E. Gamma, R. Helm, R. Johnson, and J. Vlissides, Design patterns: elements of reusable object-oriented software. Boston: Addison-Wesley, 1994.[27] S. B. Merriam and E. J. Tisdell, Qualitative research: A guide to design and implementation, 4th ed. San Francisco, Ca: Jossey-Bass, 2016.[28] M. Q. Patton, Qualitative research & evaluation methods: Integrating theory and practice. Sage publications, 2014.

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)

Technical Symposium on Computer Science Education V. 2(SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 1200.https://doi.org/10.1145/3478432.3499147Hui, B. (2023, March). Are they learning or guessing? Investigating trial-and-error behavior withlimited test attempts. In LAK23: 13th International Learning Analytics and KnowledgeConference (LAK2023). Association for Computing Machinery, New York, NY, USA, 133–144.https://doi.org/10.1145/3576050.3576068Deeb, F. A., & Hickey, T. (2023, September 27). Impact of reflection in auto-graders: Anempirical study of novice coders. Computer Science Education.https://doi.org/10.1080/08993408.2023.2262877Doleck, T., Bazelais, P., Lemay, D. J., Saxena, A., & Basnet, R. B. (2017

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)

Butterworth bandpass filter, optimizing the signal by detrending and filteringacross predetermined time windows. The signal is processed through six 10-second, non-overlapping windows usinga sixth-order Butterworth bandpass filter with a frequency range of 0.65 to 4 Hz, streamlining the signal preparationwithout additional optimization steps [50]. Among RGB color channels—Red (R), Green (G), and Blue (B), the green channel plays a pivotal role dueto its close similarity to the PPG signal. This is because hemoglobin that carries oxygen-transporting protein inthe blood reaches its maximum level of absorption in green light [18]. As the light intensity fluctuations affect allchannels equally, the ratio of the green-to-red (GR) and green-to-blue (GB

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)

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 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

SAGNIK NATH, University of California, Santa Cruz

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Computing and Information Technology Division (CIT)

, A and B, with specific sequences of keys,and then merging these lists using the mergeLinkedLists function (Figure 7). Scaffolded code wasprovided to students to help start their specific code contributions. The course TAs and tutors wereprovided solutions beforehand and instructed to assist students in arriving at the pseudocode solutions .If the student themself was unable to arrive at the pseudocode, it would be revealed and taught to them.The lab's educational outcome aimed at not just teaching how to write assembly code for functions butalso at providing a deep understanding of linked lists within the Von Neumann architecture memory.Figure 7: Output of testbench assembly file when it was compiled and executed with correct studentcode to

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)

, Natasha 3Naz, Afrin 3Beckman, Joseph W 3Coffman-Wolph, Stephany 3Christensen, Ken 3Georgiopoulos, Michael 3Agrawal, Rajeev K 3Gross, Joshua B 3Gehringer, Edward F 3 The number of downloads had a very wide range, from a high of 27,404 for a paper from2017 to one paper which had only 3 downloads (primarily because it was published in 2023). Table4 ranks the top 10 papers based on the number of downloads, including the year in which the paperwas published and presented.Table 4: Ranking Top 10 Papers by Downloads Paper Title # of Downloads Year Fun, Innovative Computer Science

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alireza Kavianpour, DeVry University

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Computing and Information Technology Division (CIT)

arepresented below. (a) Teaching the Concept of Integer and Float Point Numbers Homework 1: For the following assignment, calculate the result. (i) A=3*5/3-3 (ii) B=3*5.0/3-3 (iii) Ask ChatGPT why results are different. #include int main() {int A=4*5/3-3; float B= 4*5.0/3-3; printf("%d\n%f", A,B); return 0;} Answer: 3 3.666667 Question to ChatGPT: Explain why answers for these two calculations are different. (i) A=4*5/3-3 (ii) B=4*5.0/3-3 Answer from ChatGPT (without editing): “The difference in the results of the two calculations is due to the way numerical operations are handled with different data types in programming or mathematicalexpressions. In B expression, the only difference is that 5.0 is a floating-pointnumber, which means it has decimal

Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jacquelyn Williams Trost, North Carolina Agricultural and Technical State University

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Diversity

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Computing and Information Technology Division (CIT)

Paper ID #43281The Intersection of Smart Home Technology and the Disabled PopulationJacquelyn Williams Trost, North Carolina Agricultural and Technical State University Jacquelyn Trost is a graduate student at North Carolina A&T University, pursuing a master’s degree in Information Technology. She is a resident of High Point, NC. ©American Society for Engineering Education, 2024 The Intersection of Smart Home Technology and the Disabled Population Jacquelyn Trost North Carolina A&T

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yumin Zhang, Southeast Missouri State University

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Diversity

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Computing and Information Technology Division (CIT)

Bit (LSB) of the opcode governs theselection between two results within the same category (logic or arithmetic). In Fig. 2, theopcode is set to “11,” indicating the operation Y = A – B. Initially, the input B undergoes theconversion to its 2’s complement format, followed by addition to A, and the result is showcasedin the hex-display on the right. Modifying the opcode will accordingly reflect the correspondingresults. Opcode Operation 00 AND 01 OR

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)

-immersion.Fig 1 (a, left): View of a non-immersive VLE to learn concepts relating to our solar system (b, right): A viewof a semi-immersive VLE (students are wearing 3D eye-wear which removes the blurriness seen); note thatthey can turn away from the screen to see the real world (such a dual immersive and physical view is thereason it is referred to as semi-immersive medium)The creation of such VLEs is a complex process; very few research literature has focused on the process ofcreating and building such VLEs. Previous work by the authors have emphasized the notion of an information-centric model, which can serve as the foundational basis to design and build such VLEs [9, 36]. Such aninformation modeling-based design approach has been previously used

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mudasser Fraz Wyne, National University; Alireza Farahani; Lu Zhang, National University

Tagged Divisions

Computing and Information Technology Division (CIT)

), LastName VARCHAR(50), Salary INT );The query used in the example was: SELECT FirstName, LastName, Salary FROM Employee WHERE EmployeeID = 1001 Considering the context, ChatGPT explained that, with the index, database engines couldexecute a binary search or a similar algorithm directly on the index structure to pinpoint to therecord with an EmployeeID of 1001. However, this explanation closely mirrors what it hadgenerated previously, offering limited additional insights into the question. Notably, statement 3from ChatGPT only furnished a partial explanation, emphasizing the speed of binary searcheswithout delving into the broader functionality of index structures stored in a B+-tree. Althoughbinary searches

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

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

: a) How do you apply for are the most important skills (set) internships? b) How do you prepare outside of programming for your for the interview? c) Career path and career? b) Advice on how to improve opportunity, and d) How to deal with coding skills. c) What is your daily stress and impostor syndrome. job routine and your mood on average after you get home? d) What jobs can you get with a computing career? Which factors Top Ranked answers by participants: Top Ranked answers by participants: contributed to your • I liked

Conference Session

Computing and Information Technology Division (CIT) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tingjun Lei, Mississippi State University; Timothy Sellers, Mississippi State University; Chaomin Luo, Mississippi State University; Gene Eu Jan, Tainan National University of the Arts ; Zhuming Bi, Purdue University, Fort Wayne

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Computing and Information Technology Division (CIT)

provided with sample materials to bolster their grasp of this objective. As anillustration, consider the following scenario:A computer M2 has the following CPIs for instruction types A thru D, and a program P3 has thefollowing mix of instructions (Note: pct = percent). • M2: Type A CPIA= 1.7; • Type B CPIB= 2.1; • Type C CPIC= 2.7; • Type D CPID= 2.4; • P3: Type A = 22% ; • Type B = 29% ; • Type C = 17% ; • Type D = remaining %.Answer the following questions: (a) Calculate the average CPI of Machine M2. (b) Calculate the runtime of P3 on M2 if IC = 22,311 and clock rate is 3.3 GHz.By engaging with such objective inquiries and utilizing sample materials, students gain a moreprofound understanding of CPU

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)

(smes),” Information and Computer Security, vol. 27, no. 3, p. 393–410, 2019. doi: 10.1108/ics-07-2018-0080.[15] D. H. Tobey, A. B. Watkins, and C. W. O’Brien, “Applying competency-based learning methodologies to cybersecurity education and training: Creating a job-ready cybersecurity workforce.,” Infragard Journal, pp. 1–14, June 2018.[16] K. A. Wetzel, NICE Framework Competencies: Assessing Learners for Cybersecurity Work. NIST, Dec. 2021. doi: 10.6028/nist.ir.8355-draft2.[17] Verizon, “Data breach investigation report 2022.” https://www.verizon.com/business/resources/reports/dbir/2022/master-guide/, 2022.[18] CISA, “CISA insights ransomware outbreak.” https://www.cisa.gov/uscert/sites/default/ files/2019-08

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)

; [Internet], Nov 22, 2022 availale from Fixing the next big tech skills shortage will need a quantum leap | ZDNET[2] Fox, M. F. J., Zwickl, B. M., & Lewandowski, H. J. (2020). Preparing for the quantum revolution: What is the role of higher education? Physical Review Physics Education Research, 16(2), 020131. https://journals.aps.org/prper/abstract/10.1103/PhysRevPhysEducRes.16.020131[3] Seegerer, S. et al. (2021). Quantum Computing as a Topic in Computer Science Education. WiPSCE '21, October 18-20, 2021. https://computingeducation.de/pub/2021_Seegerer-Michaeli-Romeike_WIPSCE21.pdf[4] Nature (2023). The future is quantum: universities look to train engineers for an emerging industry. Retrieved

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

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Computing and Information Technology Division (CIT)

the users.This integration not only complements the feedback provided but also equips students with amore holistic understanding of coding standards that are critical in real-world applications.We tested our tool against a HTML code validation task, and the response obtained is showcasedin Fig. 8, where it is able to perform an HTML validation check using the HTML W3C validator 1 https://validator.w3.org/ 2 http://sqllint.com/ 3 https://github.com/PHP-CS-Fixer/PHP-CS-Fixer/ (a) W3C Validator (b) Response after incorporating W3C Validator Figure 8: Integrating W3C Validator as External Service(Fig. 8a) and utilize its result as additional context for feedback generation

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Emil H Salib, James Madison University

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Computing and Information Technology Division (CIT)

-DIUS clients (AP/authenticators) to the radius-rasp server. To evaluate the radius server config-urations, we utilized the eapol test utility with various eapol configuration files, such as the oneshown in Appendix B.1.1.To support WPA2 and WPA3-Personal security modes, including Simultaneous Authentication ofEquals (SAE) and Protected Management Frame (PMF), the wpa-rasp was configured accordingto the wpa supplicant.conf example given in Appendix B.1.2.5 Solution Results (Concepts of Lab Exercises)In this section, we provide a brief description of the concepts we focused on in the development ofthe lab instructions of four (4) lab exercises using the platform described in Sections 3 & 4. Twoexercises are on personal security mode. The

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

MacKenzie Gray, Portland State University; Erin Shortlidge, Portland State University; Christof Teuscher, Portland State University

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Diversity

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Computing and Information Technology Division (CIT)

Mathematics, 7(3), 403–411. https://doi.org/10.2140/involve.2014.7.403[4] Graham, M. J., Frederick, J., Byars-Winston, A., Hunter, A.-B., & Handelsman, J. (2013). Science education. Increasing persistence of college students in STEM. Science (New York, N.Y.), 341(6153), 1455–1456. https://doi.org/10.1126/science.1240487[5] Hernandez, P. R., Woodcock, A., Estrada, M., & Schultz, P. W. (2018). Undergraduate Research Experiences Broaden Diversity in the Scientific Workforce. BioScience, 68(3), 204–211. https://doi.org/10.1093/biosci/bix163[6] REU – For Students / NSF – National Science Foundation. (n.d.) Retrieved April 19, 2021 from https://www. Nsf.gov/crssprgm/reu[7] Bangera, G., & Brownell, S. E. (2014) Course

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)

Paper ID #41778Educational Expertise: Faculty Insights on Preparing Computing Studentsto Navigate Technical InterviewsStephanie Jill Lunn, Florida International University Stephanie Lunn is an Assistant Professor in the School of Universal Computing, Construction, and Engineering Education (SUCCEED) and the STEM Transformation Institute at Florida International University (FIU). She also has a secondary appointment in the Knight Foundation School of Computing and Information Sciences (KFSCIS). Previously, Dr. Lunn earned her doctorate in computer science from the KFSCIS at FIU, with a focus on computing education. She also

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)

. 337-341, 2019.[4] 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.[5] 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.[6] M. Riestra-Gonza ́lez, M. d. P. Paule-Ruíz and F. Ortin, "Massive LMS log data analysis forthe early prediction of course-agnostic student performance," Comput. Educ., vol. 163, pp.104-108, 2021.[7] S. B. Dias, S. J. Hadjileontiadou, J. Diniz and L. J

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)

, Aberdeen Scotland Uk: ACM, Jul. 2019, pp. 9–15. doi: 10.1145/3304221.3319764.[2] A. Kapoor and C. Gardner-Mccune, “Categorizing Research on Identity in Undergraduate Computing Education,” in Proceedings of the 22nd Koli Calling International Conference on Computing Education Research, in Koli Calling ’22. New York, NY, USA: Association for Computing Machinery, Nov. 2022, pp. 1–13. doi: 10.1145/3564721.3565948.[3] A. M. Wofford, L. J. Sax, K. L. George, D. Ramirez, and C. Nhien, “Advancing equity in graduate pathways: Examining the factors that sustain and develop computing graduate aspirations,” The Journal of Higher Education, vol. 93, no. 1, pp. 110–136, 2022.[4] B. Bond-Trittipo, S. Secules, and N. Kumar, “Future Career Pathway

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Erwin Karincic, Virginia Commonwealth University; Lauren Linkous, Virginia Commonwealth University; Erdem Topsakal, Virginia Commonwealth University

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Computing and Information Technology Division (CIT)

].[19] E. Karincic (Dollarhyde), "CML Labs," GitHub, Feb 7, 2024. [Online]. Available:https://github.com/Dollarhyde/cml-labs. [Accessed: Feb. 7, 2024].[20] Y. Rekhter, B. Moskowitz, D. Karrenberg, G. J. de Groot, and E. Lear, "Address Allocationfor Private Internets," RFC 1918, February 1996. [Online]. Available:https://datatracker.ietf.org/doc/html/rfc1918. [Accessed: Jan. 25, 2024].[21] Cisco DevNet, "Adding Additional VM Images," in Cisco Modeling Labs v2.6Documentation, [Online]. Available: https://developer.cisco.com/docs/modeling-labs/#!vm-images-for-cml-labs/adding-additional-vm-images. [Accessed: Jan. 25, 2024].Appendix A: Reference Platforms in the labThese following reference platforms are represented as nodes within the lab [21]: 1

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Cris Robert Exum; Ciprian Popoviciu, East Carolina University; Colby Lee Sawyer, East Carolina University

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Computing and Information Technology Division (CIT)

cybersecurity.Mr. Colby Lee Sawyer, East Carolina University Current Computer Science BS Student at East Carolina Unversity ©American Society for Engineering Education, 2024LoRaWAN Solution for Automated Water Drainage of Agricultural FieldsCris Exum, Tyneasha Hazard, Tyler Williams, Jesus Zapata, Khaneil Pettiford, ColbySawyer, Ciprian PopoviciuAbstract: Eastern North Carolina farmlands are often below the standing water level, facing a uniquechallenge that requires constant drainage to avoid flooding. Irrigation canals collect water frommultiple farms, and they must be emptied regularly to maintain crop viability and to protect propertylike equipment and structures. Maintaining a low water level in these canals is a

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)

Another major point of struggle forstudents was sequence numbers in TCP. Most textbooks introduce TCP step-by-step by changingthe assumed capabilities of the underlying network layer. However, despite instructor-leddiscussions encouraging students to reason about the protocol, sequence numbers were harder forstudents to grasp. The following activity provides an imaginary scenario to help students reasonabout the protocol as a puzzle.Scenario: Two astronauts want to communicate with each other. The sender is in Pod A and thereceiver is in Pod B. The sender sends the mathematical operations shown in Figure 2, using fourmessages, for the receiver to compute. They use the teacup service to send the messages. Theteacup service guarantees that the

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)

speakers and career awareness presentations, field trips to industry, and conference participation and presentation. 5. Leadership Opportunities - Provide leadership opportunities for all scholars within a student section of a professional organization (IEEE) or club (BE-TEC Club)”. [7]The Measurable Outcome Objectives of the BE-TEC project is: A. “Graduation - A minimum of 20 scholarship recipients will graduate with a baccalaureate degree in EE, CE, CS, or SE by the end of year six. (18 will still be enrolled) B. Completion and year-to-year persistence rates of BE-TEC participants will show an increase from the departmental baseline and a comparison cohort. C. Employment in STEM Workforce - A minimum of 95% of BS

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lily Liang, University of the District of Columbia; Briana Lowe Wellman, University of the District of Columbia; Rui Kang

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Diversity

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Computing and Information Technology Division (CIT)

students overall had a high sense of community at the beginningof the semester. For Foundations, nine out of the thirteen items were lower than the mean of thescale (3.0). The averages of all items in Foundations are lower than those in CS I. The mostsignificant difference on average was for a) “I wish I had gone to another department instead ofthis one (Reversed), b) “I would recommend this department to students in my high school,’ andc) “There’s a real sense of community here.” However, due to the small number of responsesfrom the Foundation students, we cannot safely conclude that the Foundations students overallhad a lower sense of community at the beginning of the semester compared to CS I students. Wedo hypothesize that Foundations students

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

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Computing and Information Technology Division (CIT)

Paper ID #42555Leading in the AI Era: An Interactive Experiential Hands-On Learning Approachfor Professionals and LeadersDr. Sharifa Alghowinem, Massachusetts Institute of Technology Dr. Alghowinem earned her PhD in multimodal AI from the Australian National University in 2015, following an MSc in Software Engineering at the University of Canberra in 2010 and a BSc in Computer Applications at King Saud University in 2004. Stationed at MIT’s Personal Robots Group as a research scientist, she develops AL models that provide insights for enhanced human-robot interaction. With an expertise in multimodal AI, Dr. Sharifa