Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mahmoud K Quweider, The University of Texas Rio Grande Valley; Liyu Zhang; Alexis Aaron De La Cruz

Tagged Divisions

Computers in Education Division (COED)

will discuss in detail.1. Pedagogy Components: a. Cloud Computing i. Theory & Concepts ii. Lab Modules iii. Assessment iv. Q/A Sessions2. Platform Support: a. Primary: GCP (Google Gloud Platform) b. Secondary: AWS, Azure3. Degree Support Courses: a. Electives: AI/ML b. Required: Capstone Project4. Job Support Certifications: a. Primary: Cloud+ and GCP/AWS/Azure b. Secondary: Linux+We designed the CTaaS framework as a seamlessly integrated system where componentscomplement each other without requiring any extra effort beyond what is required by thecybersecurity degree. In the following, we go over CTaaS’s details. Cloud

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Timothy James, Purdue University; Alejandra J. Magana, Purdue University

Tagged Divisions

Computers in Education Division (COED)

, no. 4, pp. 789–809, Dec. 2020, doi: 10.1007/s10758-020-09441-x.[5] J. Goopio and C. Cheung, “The MOOC dropout phenomenon and retention strategies,” Journal of Teaching in Travel and Tourism, vol. 21, no. 2, pp. 177–197, 2021, doi: 10.1080/15313220.2020.1809050.[6] B. B. Morrison, L. E. Margulieux, and M. Guzdial, “Subgoals, context, and worked examples in learning computing problem solving,” in ICER 2015 - Proceedings of the 2015 ACM Conference on International Computing Education Research, Association for Computing Machinery, Inc, Jul. 2015, pp. 267–268. doi: 10.1145/2787622.2787733.[7] M. Yarmand, J. Solyst, S. Klemmer, and N. Weibel, “It feels like i am talking into a void: Understanding

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Chinyere Offor, Lincoln University of Pennsylvania; Tiffanie R Smith, Lincoln University

Tagged Divisions

Computers in Education Division (COED)

during the process through observations and metrics which utilize Keller’sARCS motivation model which analyzes a learner’s attention, relevance, confidence, andsatisfaction of educational materials [14]. The Van Hiele model of geometric learning will alsobe evaluated for its practicality and usefulness. The goal of this research is to raise student’sengagement levels and overall performance. This research hopes to revolutionize mathematicseducation in the world and transform mathematics from being “nobody’s favorite subject”, to asubject met with resounding excellence.References[1] F. Biocca and B. Delaney, “ Immersive virtual reality technology “ in Communication in theage of virtual reality, Hillsdale, NJ, Lawrence Eribaum Associates, Inc

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sweni Shah; Hamid S Timorabadi P.Eng., University of Toronto; Sanjana Dasadia; Samreen Khatib Syed; Doaa Muhammad, University of Toronto

Tagged Divisions

Computers in Education Division (COED)

. In Figure 2,for instance, Mentee 4 is matched with Mentor 0, showcasing the algorithm's inclination towardsoptimizing for the best possible match based on overall compatibility. Figure 2: Test results for one-to-one test scenario. Check Appendix B for algorithm outputTo thoroughly assess the algorithm's performance in terms of speed and accuracy, a substantialdataset comprising 1000 mentees and 500 mentors was introduced. Each mentor's capacity wascapped at 2. The matching execution time, as outlined in Table 2, demonstrated efficiency at 4.08seconds which is lower than the anticipated value for the runtime. Given that many matchingalgorithms often exhibit a complexity of O(n2), where n is the number of users in the database,the algorithm's

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

David Reeping, University of Cincinnati; Aarohi Shah, University of Cincinnati

Tagged Divisions

Computers in Education Division (COED)

Literature Review of Empirical Research on ChatGPT in Education.” Rochester, NY, Sep. 06, 2023. doi: 10.2139/ssrn.4562771.[18] C. K. Lo, “What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature,” Educ. Sci., vol. 13, no. 4, Art. no. 4, Apr. 2023, doi: 10.3390/educsci13040410.[19] C. M. L. Phillips, J. S. London, W. C. Lee, A. S. Van Epps, and B. A. Watford, “Reflections on the messiness of initiating a systematic literature review on broadening participation in engineering and computer science,” in 2017 IEEE Frontiers in Education Conference (FIE), Oct. 2017, pp. 1–8. doi: 10.1109/FIE.2017.8190482.[20] L. Krupp et al., “Unreflected Acceptance -- Investigating the Negative Consequences of ChatGPT

Conference Session

Computers in Education Division (COED) Track 5.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Christopher J. Lowrance, United States Military Academy; Edward Sobiesk, United States Military Academy; Jean R.S. Blair, United States Military Academy; Christa M Chewar, United States Military Academy

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Case Study – Strategies Case Study – Module A Case Study – Module B Case Study – Module X on Emerging g g Tech Modules with 1st Set of Futures 1st Lesson of Module A 1st Lesson of Module B 1st Lesson of Module X

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yu Sheng Pan, University of Toronto; Aniruddha Redkar, University of Toronto; Sowrov Talukder, University of Toronto; Parth Sindhu, University of Toronto; Hamid S. Timorabadi, University of Toronto

Tagged Divisions

Computers in Education Division (COED)

/10.4324/9780203507711/learning-teach-higher-education-paul-ramsden-paul-ramsden. [Accessed: 05-Feb-2023].[2] A. Leite and S. A. Blanco, “Effects of Human vs. Automatic Feedback on Students’Understanding of AI Concepts and Programming Style.” [Online]. Available:https://arxiv.org/pdf/2011.10653.pdf. [Accessed: 06-Feb-2023].[3] B. Hanks, S. Fitzgerald, R. McCauley, L. Murphy, and C. Zander, “Pair programming ineducation: A literature review.” [Online]. Available:https://www.tandfonline.com/doi/abs/10.1080/08993408.2011.579808. [Accessed: 05-Feb-2023].[4] R. E. Mayer, “Teaching and learning computer programming: Multiple research perspec,”30-Sep-2013. [Online]. Available:https://www.taylorfrancis.com/books/mono/10.4324/9781315044347/teaching

Conference Session

Computers in Education Division (COED) Track 6.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mitchell Gerhardt, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

passages were recordedand grouped into a priori types, such as conceptual, practical, ethical, procedural, andmathematical knowledge, while allowing for new possibilities [51]. This process yielded severalpassages, which were then given to Claude, the large generative model from Anthropic alongwith the following prompt: You are an expert social science researcher studying computer science textbooks. Given a collection of engineering textbook passages, let’s develop a framework for categorizing them into distinct knowledge types. For each passage, consider: 1) Content characteristics: (a) What is the primary purpose of this passage? (b) What information is being conveyed? (c) How is it being presented? 2) Linguistic

Conference Session

Computers in Education Division (COED) Track 3.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ankunda Kiremire, Louisiana Tech University; Kevin A Cherry, Louisiana Tech University; Christian Smith, Louisiana Tech University

Tagged Divisions

Computers in Education Division (COED)

contributing to their coursegrade. A passing score for each challenge was predefined and communicated in advance, andteams could earn additional points to improve their grades. Each challenge set was conductedduring a single class period, referred to as a “challenge day.” Examples of specific problems fromeach challenge set can be found in Appendices A, B, and C.In the rest of this paper, we shall refer to these three challenges as Java, Complexity, and BasicADTs respectively.Data CollectionEach challenge set was accompanied by a survey or quiz designed to collect pertinent data. Thesequizzes were administered three times in relation to the challenge day to track student progress.The structure of each quiz mirrored that of the corresponding challenge

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

John Alexander Mendoza-Garcia, University of Florida

Tagged Divisions

Computers in Education Division (COED)

evidence. It is also possible to studystudents’ retention in a class before and after the change and track their persistence inengineering after several semesters. References[1] T. J. D’Zurilla, A. M. Nezu, and A. Maydeu-Olivares, “Social Problem Solving: Theory and Assessment.,” Social problem solving: Theory, research, and training., no. 1971, pp. 11–27, 2009, doi: 10.1037/10805-001.[2] K. Sorsdahl, D. J. Stein, and B. Myers, “Psychometric properties of the Social Problem Solving Inventory-Revised Short-Form in a South African population,” International Journal of Psychology, vol. 52, no. 2, pp. 154–162, 2017, doi: 10.1002/ijop.12192.[3] D. Kokotsaki, V. Menzies, and

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Timothy James, Purdue University; Alejandra J. Magana, Purdue University

Tagged Divisions

Computers in Education Division (COED)

amount of additional explanation mayyield diminishing returns. Another area for further investigation may be an attempt at exploringhow much is too much and the amount of content that leads to the best results for the highestnumber of students.References[1] B. B. Morrison, L. E. Margulieux, and M. Guzdial, “Subgoals, context, and worked examples in learning computing problem solving,” in ICER 2015 - Proceedings of the 2015 ACM Conference on International Computing Education Research, Association for Computing Machinery, Inc, Jul. 2015, pp. 267–268. doi: 10.1145/2787622.2787733.[2] C. Vieira, A. J. Magana, A. Roy, and M. L. Falk, “Student Explanations in the Context of Computational Science and Engineering Education,” Cogn

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yael Gertner, University of Illinois Urbana-Champaign; Juan Alvarez, University of Illinois Urbana-Champaign; Benjamin Cosman, University of Illinois Urbana-Champaign; Jennifer R Amos, University of Illinois Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #41696(Board 56/Work in Progress): How Do Students Spend Their Time Studyingin a CS Discrete Math Course?Yael Gertner, University of Illinois Urbana-Champaign Dr Gertner joined the Computer Science Department at the University of Illinois in 2020 as a Teaching Assistant Professor. She received her B.S. and MEng in Electrical Engineering and Computer Science from MIT, and Ph.D. in Computer and Information Science at the University of Pennsylvania. She was a Beckman Fellow at the University of Illinois Urbana-Champaign. Her current focus is on broadening participation in Computer Science and Computer Science

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sarah L. Harris, University of Nevada, Las Vegas; Daniel Chaver Martinez, University Complutense of Madrid, Spain; Luis Piñuel; Olof Kindgren; Robert C.W. Owen

Tagged Divisions

Computers in Education Division (COED)

. Sedano, Y. Panchul, and B. Ableidinger, “MIPSfpga: Using a Commercial MIPS Soft-Core in Computer Architecture Education”. IET Circuits, Devices & Systems, 2017. 11.10.1049/iet-cds.2016.0383.[5] RISC-V International University Resources: https://riscv.org/learn/. Accessed February 21, 2023.[6] R. Agrawal, S. Bandara, A. Ehret, M. Isakov, M. Mark, and M. Kinsy, “The BRISC-V Platform: A Practical Teaching Approach for Computer Architecture”, Proceedings of the Workshop on Computer Architecture Education, pp. 1-8, Jun. 2019. 10.1145/3338698.3338891.[7] N. Binkert, B. Beckmann, G. Black, S. K. Reinhardt, A. Saidi, A. Basu, J. Hestness, D. R. Hower, T. Krishna, S. Sardashti, R. Sen, K. Sewell, M. Shoaib, N. Vaish, M. D

Conference Session

COED: Cybersecurity Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sai Sushmitha Sudha; SaiSuma Sudha; Ahmad Y. Javaid, The University of Toledo; Xiaoli Yang

Tagged Divisions

Computers in Education Division (COED)

cybersecurity as a career. However, there is still potential for improvement topersuade more students to consider this field. b. Changes in Cybersecurity Knowledge of High School StudentsThe poll's findings in Figure 5 taken before and after the lectures on cybersecurity point to asignificant improvement in the student's knowledge of the topic. According to the chart'sresearch, from 0% in the pre-survey to 8.7% in the post-survey, more students now haveadvanced cybersecurity knowledge. On the other hand, from 46.75% in the pre-survey to 0% inthe post-survey, the proportion of pupils with novice knowledge decreased. It is interesting to seethat more students now have intermediate knowledge of cybersecurity, which suggests that thelecture

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Edward Dillon, Morgan State University; Theodore Wimberly Jr.; Mariah McMichael; Lauren Brown, Morgan State University; Abigail Dina; Krystal L. Williams, University of Georgia

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

middle school–aged children's perceptions of women in science using the Draw-A-Scientist Test (DAST).” Science Communication, 29(1), 2007, pp. 35-64.[11] UNCF.org. “Black Females Moving Forward in Computing Program Launched.” https://uncf.org/annual-report-2020/black-females-moving-forward-in-computing. (Retrieved February 27, 2023).[12] S. Zweben, and B. Bizot. “Taulbee survey: CS Enrollment Grows at All Degree Levels, With Increased Gender Diversity.” Computing Research Association, 2021.

Conference Session

COED Programming Education 2: Instructional Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Matthew Morrison, University of Notre Dame

Tagged Divisions

Computers in Education Division (COED)

(circled) in the horn track of Superstition used as a Side-Channel Attack MetaphorFinally, we discuss how programming paradigms may be used in different ways to convey ideas,or as a different take on the same idea. Superstition was co-developed by guitarist Jeff Beck, whowas collaborating with Mr. Wonder on songs in TONTO, and who wrote his own rock version.13Beck’s version uses a reverb guitar to give a “superstitious” feeling. I point out that both StevieWonder and Jeff Beck use the same drum beat, and that funk drum beats can be used in bothR&B and Rock to convey the same idea, just like different programming languages like Python,C, C++, or Java can use the same architecture to accomplish similar tasks.Lecture Conclusion and Student

Conference Session

Computers in Education Division (COED) Track 2.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University; Suman Bhunia, Miami University; George D. Ricco, Miami University; Brian A Swanson, Miami University; Bryan Van Scoy, Miami University

Tagged Divisions

Computers in Education Division (COED)

in a model that might be better forus all to understand. Generally, the definitions of intelligence, education, learning, and what ourbrains do are extremely complex, and the wide variety of scientific fields (Cognitive Psychology,Neuropsychology, Educational Psychology, Artificial Intelligence, etc.) that work in this spaceprovides a broad glimpse of the complexity of the questions and includes many definitions.Therefore, we will provide starting points based on models and definitions to create acurriculum/course benchmark.2.1 Educable - a definition of intelligence?First, we use Valiant’s “Educable” definition [8]: (a) “learning from experience.” (b) “acquiring theories through instruction.” (c) “applying what one has acquired

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anyi Liu, Oakland University; Bruce R Maxim, University of Michigan, Dearborn; Xiaohong Yuan, North Carolina A&T State University; Yuan Cheng, Grand Valley State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

should beable to control the victim from the attack’s VM. For this lab module, students should work withtwo deliverables: Figure 3: Session information output on the attacker’s VM. 1. In the meterpreter console, run MSF commands to control the victim VM. You should be able to see a screenshot similar to the one in Figure 3. 2. Explain why the exploit can be launched successfully.5 Evaluation Setup (a) Student Classification (b) Ethnicity (c) Majors Figure 4: Students’ ethnic and academic background at Institutions 1 and 2.5.1 Lab and Assessment SetupThe lab tasks are conducted in a physical classroom or online, following a standard process. Moststudents were

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ahmed Ashraf Butt, Purdue University at West Lafayette (COE); Saira Anwar, Texas A&M University; Muhsin Menekse, Purdue University at West Lafayette (COE)

Tagged Divisions

Computers in Education Division (COED)

. Ophthalmol., vol. 70, no. 5, p. 1773, 2022.[11] Q. D. Nguyen, N. Fernandez, T. Karsenti, and B. Charlin, “What is reflection? A conceptual analysis of major definitions and a proposal of a five-component model,” Med. Educ., vol. 48, no. 12, pp. 1176–1189, Dec. 2014, doi: 10.1111/medu.12583.[12] A. A. Butt, S. Anwar, and M. Menekse, “WIP: Investigating the relationship between FYE students’ reflections and academic performance across gender,” in 2022 First-Year Engineering Experience, 2022.[13] M. A. Cohn, B. L. Fredrickson, S. L. Brown, J. A. Mikels, and A. M. Conway, “Happiness unpacked: Positive emotions increase life satisfaction by building resilience.,” Emotion, vol. 9, pp. 361–368, 2009, doi

Conference Session

COED: Cybersecurity Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Fitratullah Khan, The University of Texas, Rio Grande Valley; Ala Qubbaj, The University of Texas, Rio Grande Valley; Laura Saenz; Liyu Zhang, The University of Texas, Rio Grande Valley

Tagged Divisions

Computers in Education Division (COED)

College of Engineering and Computer Science at the University of Texas Rio Grande Valley (UTRGVLaura SaenzDr. Liyu Zhang, The University of Texas, Rio Grande Valley Liyu Zhang is an Associate Professor in the Department of Computer Science Department of Computer Science at the University of Texas Rio Grande Valley. He received his Ph. D. in Computer Science from the State University of New York at Buffalo in Septemb ©American Society for Engineering Education, 2023 A Bridged Cyber Security Curriculum with Embedded Stackable CredentialsAbstract— Supported by a federal grant, The University of Texas Rio Grande Valley (UTRGV)streamlined the Bachelor of Science

Conference Session

COED Modulus Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Damitu Robinson, University of California, Davis; Nicholas Hosein; Andre Knoesen, University of California, Davis; Akash Kashyap

Tagged Divisions

Computers in Education Division (COED)

Paper ID #36723KarmaCollab: A Communication Platform For Collaborative LearningDamitu Robinson, University of California, DavisMr. Nicholas Hosein Nicholas is a PhD candidate at the University of California Davis with a background in computer ar- chitecture, algorithms and machine learning. His current focus is advancing the electrical engineering curriculum at UC Davis to be more industry relevant inProf. Andre Knoesen, University of California, Davis Andre Knoesen received his Ph.D. degree from the Georgia Institute of Technology, Atlanta, in 1987. He is currently a Professor in the Department of Electrical Engineering

Conference Session

Computers in Education Division (COED) Track 4.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Safia Malallah, Kansas State University; Ejiro U Osiobe; Lior Shamir, Kansas State University; Joshua Levi Weese, Kansas State University; Nathan H. Bean, Kansas State University; Russell Feldhausen, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #45460Developing a Virtual Worlds Framework for Early ChildhoodDr. Safia Malallah, Kansas State University Dr. Safia Malallah is a teaching assistant professor at Kansas State University, where she completed her Ph.D. in Computer Science. Her research is dedicated to advancing computer science and data science education across the PreK-12 and undergraduate levels. Dr. Malallah is particularly passionate about designing innovative and accessible learning experiences that cultivate essential computational skills in studentsDr. Ejiro U Osiobe .Lior Shamir, Kansas State University Associate professor of

Conference Session

Computers in Education Division (COED) Track 4.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gabriella Marie Haire, University of Florida College of Education; Pavlo Antonenko; Christine Wusylko, University of Florida; STEPHANIE KILLINGSWORTH, University of Florida; Brian Abramowitz, University of Florida; Jeremy A. Magruder Waisome, University of Florida

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

about how well they will perform on an upcoming task. It is influenced by self-efficacyand perceptions of task difficulty. Subjective task value encompasses several components: a)intrinsic value (the inherent enjoyment or interest in the task), b) attainment value (the personalimportance of doing well on the task, often linked to one's identity), c) utility value (theperceived usefulness of the task in achieving future goals), and d) cost (the perceived negativeaspects of engaging in the task, such as effort, time, and potential loss of alternative activities).EVT suggests that individuals are more likely to engage in tasks where they expect to succeedand that they value highly. Conversely, low expectancy and value can lead to task

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Valerie A Carr, San Jose State University; Jennifer Avena, University of Northern Colorado; Maureen Smith; Wendy Lee, San Jose State University; David Schuster, San Jose State University; Belle Wei, San Jose State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

research plan that examines (a) potential changes instudents’ educational and career plans, (b) which elements of the APEX program most stronglyrelate to student outcomes, and (c) factors influencing instructor satisfaction with FLCs.The APEX program aims to deliver computing education to diverse community college students,better preparing them for today’s increasingly digital workplace. Continued expansion andassessment of the program will allow us to improve the experience of both students andinstructors, and to encourage nationwide adoption of embedding computing experiences intointroductory community college courses.References[1] R. W. Lent, S. Brown, and G. Hackett, “Toward a unifying social cognitive theory of career and academic

Conference Session

COED: Computing in K-12 / Early Childhood Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Safia A. Malallah, Kansas State University; Lior Shamir, Kansas State University; William Henry Hsu, Kansas State University; Joshua Levi Weese, Kansas State University; Salah Alfailakawi, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

main foundations to develop data science skills, or data acumen, theability to make good judgments about the use of data to support problem solutions [17]. From the statistical field, the American Statistical Association is committed toenhancing data science through statistics education to foster statistical and data science literacyat all levels. The Association published a report, “Guidelines for Assessment and Instruction inStatistics Education Report II (GAISE II),” that proposed a data science framework with fouressential concepts and 22 examples of framework application and assessment for threeprogressively conceptual structure levels (A, B, and C) [18]. Similarly, in their paper“Investigating Data Like a Data Scientist: Key

Conference Session

COED: AI and ML Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jonathan Adam Niemirowski, Louisiana Tech University; Krystal Corbett Cruse, Louisiana Tech University; David Hall, Louisiana Tech University

Tagged Divisions

Computers in Education Division (COED)

Paper ID #37420Implementation and Evaluation of a Predictive Maintenance CourseUtilizing Machine LearningMr. Jonathan Adam Niemirowski, Louisiana Tech University Jonathan Niemirowski is an Adjunct Professor in Instrumentation and Control Systems Engineering Tech- nology at Louisiana Tech University. He received a Bachelor of Science in Nanosystems Engineering in 2015, a Master of Science in Molecular Science and Nanotechnology in 2018, and is working on a PhD in Engineering Education, all at Louisiana Tech University. Mr. Niemirowski teaches Computer Aided Engineering (ENGT 250), Engineering Problem Solving (ENGR 120, 121

Conference Session

COED Modulus Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Martha Cervantes, Johns Hopkins University ; Raphael Norman-Tenazas; Adam Goertz; Erik C. Johnson, University of Illinois, Urbana-Champaign; William Roberts Gray-Roncal

Tagged Divisions

Computers in Education Division (COED)

Paper ID #39981A SwarmAI Testbed for Workforce Development and Collaborative,Interdisciplinary ResearchMartha Cervantes, Johns Hopkins University Martha Cervantes is a Mechanical Engineer at the Johns Hopkins University Applied Physics Labora- tory where she works in mechanical design and integration of robotic systems. Additionally, Martha is the project manger of the CIRCUIT Program at JHU/APL, which connects and mentors students from trailblazing backgrounds to STEM careers through science and engineering projects. Martha received her B.S. in Mechanical Engineering from Johns Hopkins University, and she is currently

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kwansun Cho, University of Florida; Syeda Fizza Ali, Texas A&M University; Sung Je Bang, Texas A&M University; Saira Anwar, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

students, and computer- or web-assisted personalized learning.Syeda Fizza Ali, Texas A&M University Syeda Fizza Ali is currently pursuing her PhD in Interdisciplinary Engineering (emphasis in Engineering Education) at Texas A&M University. She works as a graduate research assistant at the Department of Multidisciplinary Engineering. Her work focuses on instructional strategies in engineering, and educational technology. She is also passionate about student mental health and broadening participation in engineering.Sung Je Bang, Texas A&M University Sung Je Bang is a PhD student in the Department of Multidisciplinary Engineering at Texas A&M University. He holds a Bachelor of Science and a Master of

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Trini Balart, Texas A&M University; Kristi J. Shryock, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

Paper ID #43499Board 48: Perceptions of ChatGPT on Engineering Education: A 2022-2023Exploratory Literature ReviewTrini Balart, Texas A&M University Trinidad Balart is a PhD student at Texas A&M University. She completed her Bachelors of Science in Computer Science engineering from Pontifical Catholic University of Chile. She is currently pursuing her PhD in Multidisciplinary Engineering with a focus in engineering education and the impact of AI on education. Her main research interests include Improving engineering students’ learning, innovative ways of teaching and learning, and how artificial intelligence can

Conference Session

COED Programming Education 1: Students, Motivation, and Mastery

Collection

2023 ASEE Annual Conference & Exposition

Authors

Kwansun Cho, University of Florida; Sung Je Bang; Saira Anwar, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

/learning for students, and computer- or web-assisted personalized learning.Sung Je BangDr. Saira Anwar, Texas A&M University Saira Anwar is an Assistant Professor at Department of Multidisciplinary Engineering, Texas A &M Uni- versity. Dr. Anwar has over 13 years of teaching experience, primarily in the disciplines of engineering education, computer science and software engineering. Her research focuses on studying the unique con- tribution of different instructional strategies on students’ learning and motivation. Also, she is interested in designing interventions that help in understanding conceptually hard concepts in STEM courses. Dr. Anwar is the recipient of the 2020 outstanding researcher award by the