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 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 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 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 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 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 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 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 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 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

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)

pump andsubsequently the consumption of diesel fuel by predicting utilization based on weatherinformation. Preemptive activation of the pump ahead of storms will ensure more effectiveirrigation and minimize the effects of the storm.References 1. Malik, P. K., Sharma, R., Singh, R., Gehlot, A., Satapathy, S. C., Alnumay, W. S., Pelusi, D., Ghosh, U., & Nayak, J. (2021). Industrial internet of things and its applications in industry 4.0: State of the art. Computer Communications, 166, 125–139. https://doi.org/10.1016/j.comcom.2020.11.016 2. LoRa - LoRa Documentation. LoRa. (n.d.). https://lora.readthedocs.io/en/latest/ 3. Nanotron’s technology. Nanotron Technologies GmbH - Technology. (n.d.). https

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

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Computing and Information Technology Division (CIT)

/ 6/ 23543 039/ chatg pt- school- distr icts- ban- block- artificial- intel ligen ce- open- ai5. Susnjak, Teo, “ChatGPT: The End of Online Exam Integrity?”, December 2022.6. M. Barber, L. Bird, J. Fleming, E. Titterington-Giles, E. Edwards, and C. Leyland. Gravity assist: Propelling higher education towards a brighter future - office for students, 2021. URL https://www.officeforstudents.org.uk/publications/gravity-assist-propelling-higher-education- towards-a-brighter-future/.7. K. Butler-Henderson and J. Crawford. A systematic review of online examinations: A pedagogical innovation for scalable authentication and integrity. Computers & Education, 159:104024, 2020.8. S. Coghlan, T. Miller, and J. Paterson. Good proctor

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)

of network professionals.References[1] E. Lampi, “The Effectiveness of using Virtual Laboratories to Teach Computer NetworkingSkills in Zambia,” Ph.D dissertation, Career and Technical Education, Virginia PolytechnicInstitute and State University, Blacksburg, VA, USA, 2013. [Online]. Available:https://www.proquest.com/docview/1512636920[2] J. Allison, “Simulation-based learning via Cisco Packet Tracer to enhance the teaching ofcomputer networks,” Proceedings of the 27th ACM Conference on Innovation and Technology inComputer Science Education Vol. 1, Jul. 2022. doi:10.1145/3502718.3524739[3] S. Asadi, J. Allison, M. Khurana, and M. Nilashi, “Simulation-based learning for computerand networking teaching: A systematic literature review and

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)

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 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)

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

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Computing and Information Technology Division (CIT)

enhancingresearch processes, thereby contributing to the ongoing evolution of academic researchmethodologies.REFERENCE[1]. Glover, Steven M., Douglas F. Prawitt, and David A. Wood. "Publication records of facultypromoted at the top 75 accounting research programs." Issues in Accounting Education 21.3(2006): 195-218.[2]. Moon, Jared S., et al. "Publication benchmarking data based on faculty promoted at the top200 worldwide accounting research institutions." Accounting Horizons 36.3 (2022): 171-188.[3]. Abramo, G., D’Angelo, C.A., & Felici, G., “Predicting long-term publication impact througha combination of early citations and journal impact factor”. Journal of Informetrics, Vol. 13(1),pp. 32 – 49, 2019.[4]. Tahamtan, I., Afshar, A. S., and Ahamdzadeh

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)

whether theywanted to work individually on their project or team up. Four students chose to workindividually, six students chose to work in pairs, and four students teamed up to work together asa group.By the beginning of week two, we had found a qualified faculty mentor for most projects, eitherat Portland State University or elsewhere, who was comfortable to advise and mentor thestudent(s) over the summer. The tight timeline made the faculty mentor search process ratherchallenging, but we ended up with an enthusiastic set of mentors willing to volunteer their timeover the summer.CommunicationWe mainly relied on Slack for our all-cohort communications. Different channels helped to focusthe content and discussion. Students reported that they also

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)

asrepresenting the official policies, either expressed or implied, of the Department of the Air Forceor the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprintsfor Government purposes notwithstanding any copyright notation hereinReferences[1] A. Bagiati, A. F. Salazar G´omez, J. Radovan, K. Kennedy, and C. Breazeal, “Learning journeys for scalable ai education: an mit-usaf collaboration,” in Towards a new future in engineering education, new scenarios that european alliances of tech universities open up. Universitat Polit`ecnica de Catalunya, 2022, pp. 1529–1537.[2] X. Du, S. Alghowinem, M. Taylor, K. Darling, and C. Breazeal, “Innovating ai leadership education,” in 2023 IEEE Frontiers in Education Conference

Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Roberto Patricio Carú; Juan Felipe Calderón, Universidad Andres Bello, Viña del Mar, Chile

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Computing and Information Technology Division (CIT)

. Zavala, and J. F. Calderón, “Student response to instructional practices (StRIP) survey in engineering classrooms: Validating a Spanish version,” in 2020 ASEE Virtual Annual Conference Content Access, 2020.[5] M. L. Kovarik, J. K. Robinson, and T. J. Wenzel, “Why Use Active Learning? In Active Learning in the Analytical Chemistry Curriculum,” American Chemical Society, 2022, pp. 1–12.[6] L. Deslauriers, L. S. McCarty, K. Miller, K. Callaghan, and G. Kestin, “Measuring actual learning versus the feeling of learning in response to being actively engaged in the classroom,” Proceedings of the National Academy of Sciences, p. 116(39), 2019.[7] H. J. Cho, K. Zhao, C. R. Lee, D. Runshe, and C. Krousgrill, “Active learning

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)

. Buckner, "A non-traditonal approach to an assembly language course." Journal of Computing Sciences in Colleges 22.1 (2006): 179-186.[5]Imamura, Kosuke. "Assembly language is more than a teaching tool." Journal of Computing Sciences in Colleges 20, no. 2 (2004): 49-54.[6]Little, R. Rainey, and Mark K. Smotherman. "Assembly language courses in transition." ACM SIGCSE Bulletin 20, no. 1 (1988): 95-99.[7]Chmiel, Ryan, and Michael C. Loui. "Debugging: from novice to expert." ACM SIGCSE Bulletin 36, no. 1 (2004): 17-21.[8]Adolph, Karen E., and Kari S. Kretch. "Gibson’s theory of perceptual learning." International encyclopedia of the social and behavioral sciences 10 (2015): 127-134.[9]Fincher, Sally, Johan Jeuring, Craig S. Miller, Peter

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)

. In Section 5, we providebrief descriptions of the concepts behind four (4) newly created and tested WPA3 lab exercises.Finally, Section 6 engages in a discussion, encompassing our students’ observations, and sugges-tions for qualitative assessment of the lab instructions, the concepts they are based on, along withour conclusions and potential future steps.2 Our ProjectIn this section, we outline the project’s opportunity, goal, objectives, and the proposed solution.The overarching objective of this endeavor is to seamlessly integrate WPA3’s wireless personaland enterprise security mode, as defined by [1], into our existing Information Technology (IT)undergraduate curriculum. Specifically tailored for juniors and seniors majoring in IT, the

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)

preparation and professional development. Her 20+ publications include articles that appear in journals such as International Journal of Science and Mathematics Education, Journal of Social Studies Research, School Science and Mathematics, and Mathematics Teacher. She served as the Program Chair of the Special Interest Group (SIG) Democratic Citizenship in Education of the American Educational Research Association (AERA) from 2016 to 2018. She has taught high school mathematics and holds a clear renewable teaching certificate in mathematics in the state of Georgia. She currently serves as a Co-Principal Investigator (Co-PI) of a National Science Foundation (NSF) S-STEM grant. ©American Society