Conference Session

Computers in Education Division (COED) Track 3.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Wesley A Brashear, Texas A&M University; Sandra B Nite, Texas A&M University; Richard Lawrence, Texas A&M University; Dhruva Chakravorty, Texas A&M University

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Paper ID #46734Teaching Python to Secondary Students: A Backward Design ProcessDr. Wesley A Brashear, Texas A&M UniversityDr. Sandra B Nite, Texas A&M University Sandra Nite is trained as a mathematics educator and educational researcher. She is Director of AP Institutes in Mathematics and Computer Science in the College of Arts and Sciences. Besides her Ph.D. in Mathematics Education, she holds master’s degrees in mathematics and music and lifetime Texas secondary teaching certification for mathematics, computer science, biology, chemistry, composite science, music, English, and English language arts as well as

Conference Session

Computers in Education Division (COED) Track 3.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Thomas Rossi, University of New Haven; Alice E. Fischer, University of New Haven

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Paper ID #45526Survey of C/C++ IDEs for a First Year Programming CourseMr. Thomas Rossi, University of New Haven Thomas Rossi is the Assistant Chair of the University of New Haven’s Electrical and Computer Engineering and Computer Science department. His research focuses on improving the post-secondary experience for students through the use of current computing tools and technologies. Thomas graduated with his MS in Computer Science from the University of New Hampshire in 2016. He has previously worked at the Rochester Institute of Technology and at Penn State Erie, the Behrend College.Prof. Alice E. Fischer, University of

Conference Session

Computers in Education Division (COED) Track 6.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Emre Tokgoz, State University of New York - Farmingdale

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. Felder and L. Silverman. "Learning and Teaching Styles in Engineering Education, ASEE journal of Engineering Education, 78(7), 674-681, 1988. 4. Tokgöz, E. “Undergraduate Industrial Engineering Majors’ Software Preferences for Solving Statistical Process Control and Operations Research Questions”, ASEE Annual Conference Proceedings – Industrial and Systems Engineering Division, paper ID # 24769, 2019. 5. Tokgöz, E. “Technology Choices of Undergraduate Engineering Students for Solving Calculus Questions”, ASEE Annual Conference Proceedings, paper ID # 17810, 2017. 6. Tokgöz, E., Tekalp E. N., Tekalp S. B., Tekalp H. A., Undergraduate STEM Students’ Role in Making Technology Decisions for Solving Calculus Questions

Conference Session

Computers in Education Division (COED) Track 5.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Amy Isvik, North Carolina State University at Raleigh; Veronica M Catete, North Carolina State University at Raleigh

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Computers in Education Division (COED)

: AJournal of Women Studies, 26(1):90–98, 2005.[7] Sarah Chapman and Rebecca Vivian. Engaging the future of stem: A study of internationalbest practice for promoting the participation of young people, particularly girls, in science,technology, engineering and maths (stem). Technical report, Chief Executive Women (CEW)Ltd, 2017.[8] Linda J Sax, Kathleen J Lehman, Jerry A Jacobs, M Allison Kanny, Gloria Lim, LauraMonje-Paulson, and Hilary B Zimmerman. Anatomy of an enduring gender gap: The evolutionof women’s participation in computer science. The Journal of Higher Education, 88(2):258–293,2017.[9] Nazish Zaman Khan and Andrew Luxton-Reilly. Is computing for social good the solution toclosing the gender gap in computer science? In Proceedings of the

Conference Session

Computers in Education Division (COED) Track 5.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jina Wilde, The University of Texas at San Antonio; Michael Zawatski, The University of Texas at San Antonio; Darean Wilde, The University of Texas at San Antonio; Emiliano Beltran, The University of Texas at San Antonio; Amanda S. Fernandez, The University of Texas at San Antonio; Timothy Yuen, The University of Texas at San Antonio

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University of Texas at San Antonio Student researcher interested in how the delivery of professional development can impact a teacher’s ability to influence students to pursue STEM (and more specifically, CS-related) degrees.Dr. Amanda S. Fernandez, The University of Texas at San Antonio Amanda S. Fernandez an Assistant Professor of Computer Science at the University of Texas at San Antonio.Dr. Timothy Yuen, The University of Texas at San Antonio Timothy T. Yuen is the Associate Dean for Undergraduate Studies in the College of Sciences at the University of Texas at San Antonio. ©American Society for Engineering Education, 2025 Computer Science Professional Development for Middle and

Conference Session

Computers in Education Division (COED) Track 3.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Muhammad Naveed Aman, University of Nebraska - Lincoln; Moomal Bukhari, University of Nebraska - Lincoln; Eric Clarence Einspahr, University of Nebraska - Lincoln; Jena Shafai Asgarpoor, University of Nebraska - Lincoln; Bhuvaneswari Gopal, University of Nebraska - Lincoln

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Paper ID #48087Reducing the DFW Rate for Engineering Majors in Introductory ComputerScience Through Contextualized Learning and Peer-Supported EngagementMuhammad Naveed Aman, University of Nebraska - LincolnMoomal Bukhari, University of Nebraska - Lincoln Moomal Bukhari received the B.Sc. degree in Electrical Engineering and M. Sc. degree in Electrical Engineering from the National University of Computer and Emerging Sciences, Islamabad, Pakistan in 2013 and 2017, respectively. She worked as a Lecturer at National University of Computer and Emerging Sciences. She is currently doing her PhD in Computer Engineering from

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Anthony Cortez, Point Loma Nazarene University; Paul Schmelzenbach, Point Loma Nazarene University

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overlaying sine waves with randomized amplitude and frequency following thesespecifications: (a) Use randi() to generate a random integer between 1 and 10, and store it in the variable A (amplitude). (b) Use rand() to generate a random decimal value between 0.1 and 1, and store it in the variable f (frequency). (c) Create a range of 200 equally spaced values stored in the variable t (time) between 0 and 10 seconds. (d) Create the array y of the sine wave using the formula y = A sin(2πf t) (e) Make a plot of t and y, where t is the horizontal axis and y is the vertical axis. Use a solid line if the frequency is less than 0.5 Hz, and dashed line if it is greater than or equal

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Susannah Cooke, ANSYS, Inc.; Kaitlin Tyler, ANSYS, Inc.

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use of innovative teaching methods includingincreased usage of programing in Electrical/Electronics engineering. Taking advantage of thePython libraries available with simulation tools allows students to gain coding skills and initialunderstanding of simulation software capabilities while learning engineering fundamentals.Similar design guidelines were followed as for the Fluids resource, with explanatory images,code cells hidden by default, and plots displayed within the Jupyter Notebook (Figures 3 & 4). (a) (b)Figure 3: S11 parameter of the Figure 4: Gain of the dipole Figure 5: (a

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Valerie Elise Sullivan, University at Buffalo, The State University of New York; Rachel N. Bonnette, University at Buffalo, The State University of New York

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identify neurodivergent-specific practices for individuals.Thus, we anticipate neurodivergent students with instructional supports designed to fit theirlearning needs will help them master the student role, contribute to the United Statescomputational workforce, and participate in Computer Science and STEM career pathways aftergraduation.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.(NSF 2137725). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] A. Vaccaro, M. Daly-Cano, and B. M. Newman, “A Sense of Belonging Among CollegeStudents

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

MALEK EL KOUZI, Queen's University; Haley Clark, Queen's University; Richard Reeve, Queen's University

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. Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275-285 (2022). 13. Schuler, B. Applicable applications: Treatment and technology with practical, efficient and affordable solutions. Auditory Processing Disorders: Assessment, Management and Treatment, 411-416 (2019). 14. Chen, C. J., Lee, I. J., & Lin, L. Y. Augmented reality-based self facial modeling to promote the emotional expression and social skills of adolescents with autism spectrum disorders. Research in Developmental Disabilities, 36, 396-403 (2015). 15. Mayer, R. E. Multimedia learning (2nd ed.). Cambridge University Press (2009). 16. Wang, F., Kinzie, M. B., McGuire, P., & Pan, E

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jinyi Jiang, Nanyang Technological University; Ibrahim H. Yeter, Nanyang Technological University

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., Moro, A., Bergram, K., Purohit, A., Gillet, D., & Holzer, A. (2020). Bringing Computational Thinking to non-STEM Undergraduates through an Integrated Notebook Application. https://ceur-ws.org/Vol-2676/paper2.pdfFunk, C. (2018, January 9). Women and Men in STEM Often at Odds Over Workplace Equity. Pew Research Center. https://www.pewresearch.org/social-trends/2018/01/09/women-and-men-in-stem-often-at -odds-over-workplace-equity/Jackson, C., Mohr-Schroeder, M. J., Bush, S. B., Maiorca, C., Roberts, T., Yost, C., & Fowler, A. (2021). Equity-Oriented Conceptual Framework for K-12 STEM literacy. International Journal of STEM

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Joel Nirupam Raj; Ashwath Muppa, Thomas Jefferson High School for Science and Technology; Rhea Nirmal; Teo W. Kamath; Achyut Dipukumar; Aarush Laddha; Mihai Boicu, George Mason University

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. Sample code initiallysubmitted by researcher 1 is provided in Appendix B Initial Python Solution Sample [13]. This isthe simplest problem and is provided as an example and has around 42 lines including code andcomments. These programs were submitted to Claude Sonnet 3.5 to receive a grade and feedbackin the following categories: “Correctness,” “Efficiency,” “Data Structures,” “Code Readability,”and “Testing.” The prompt used to call Claude Sonnet 3.5 is provided in Appendix D. Promptspecifying the grading rubric included in Appendix C. Rubric (provided as a PDF document withthe prompt). The prompt is very specific with respect to how the feedback must be provided,following the rubric specifications and has 72 lines. The sample feedback received

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Maria Elena Truyol, Universidad Andres Bello, Santiago, Chile; Monica Quezada-Espinoza, Universidad Andres Bello, Santiago, Chile; Genaro Zavala, Tecnologico de Monterrey, Monterrey, Mexico; Universidad Andres Bello, Santiago, Chile; Claudia Bascur, Universidad Andres Bello, Santiago, Chile

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institutions.AcknowledgmentThe authors gratefully acknowledge the leadership and financial support of the School ofEngineering at the Universidad Andres Bello, Chile.References[1] H. C. Chu, G. H. Hwang, Y. F. Tu, and K. H. Yang, “Roles and research trends of artificial intelligence in higher education: A systematic review of the top 50 most- cited articles,” Australasian Journal of Educational Technology, vol. 38, no. 3, pp. 22–42, 2022, doi: 10.14742/ajet.7526.[2] H. Crompton and D. Burke, “Artificial intelligence in higher education: the state of the field,” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, p. 22, 2023, doi: 10.1186/s41239-023-00392-8.[3] T. Pham, T. B. Nguyen, S. Ha, and N. T. Nguyen Ngoc

Conference Session

Computers in Education Division (COED) Track 2.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Griffin Pitts, University of Florida; Viktoria Medvedeva Marcus, University of Florida; Sanaz Motamedi, University of Florida

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intelligence technologies in educa- tion: benefits, challenges and strategies of implementation,” in IFIP International Workshop on Artificial Intelligence for Knowledge Management. Springer, 2019, pp. 37–58.[17] B. A. Becker, P. Denny, J. Finnie-Ansley, A. Luxton-Reilly, J. Prather, and E. A. Santos, “Programming is hard-or at least it used to be: Educational opportunities and challenges of ai code generation,” in Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1, 2023, pp. 500–506.[18] C. W. Okonkwo and A. Ade-Ibijola, “Chatbots applications in education: A systematic re- view,” Computers and Education: Artificial Intelligence, vol. 2, p. 100033, 2021.[19] K. Tan, T. Pang, C. Fan, and S. Yu

Conference Session

Computers in Education Division (COED) Track 5.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nathan H Bean, Kansas State University; Joshua Levi Weese, Kansas State University; Russell Feldhausen, Kansas State University; Michelle Friend, University of Nebraska - Omaha; Friday Emmanuel James, Kansas State University; David S. Allen, Kansas State University

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several contextsto help foster and grow their interest [10].This perspective provides a good framing mechanism for exploring disparities in computerscience learning opportunities between rural and non-rural populations. A weakness in onecontext might not have a large impact, but issues across multiple learning contexts will likelyhave an outsized effect on students’ opportunities and goals. Thus, if we find disparities inmore than one learning context, we make a stronger case for recognizing rural populations asunderserved. With this understanding, our research question becomes: RQ1: Are rural US students provided fewer opportunities to engage with computer science through: a) the school context? b) the community context? c) the distributed

Conference Session

Computers in Education Division (COED) Track 5.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Friday Emmanuel James, Kansas State University; Joshua Levi Weese, Kansas State University; Nathan H Bean, Kansas State University; Russell Feldhausen, Kansas State University; Michelle Friend, University of Nebraska - Omaha; Robert Stewart, Kansas State University; Carrie Grace Aponte; David S. Allen, Kansas State University

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chil- dren’s cognition.” Journal of educational psychology, vol. 76, no. 6, p. 1051, 1984. doi: 10.1037/0022-0663.76.6.1051 . [7] M. U. Bers, L. Flannery, E. R. Kazakoff, and A. Sullivan, “Computational thinking and tinkering: Exploration of an early childhood robotics curriculum,” Computers & education, vol. 72, pp. 145–157, 2014. doi: 10.1016/j.compedu.2013.10.020 . [8] T. Camp, W. R. Adrion, B. Bizot, S. Davidson, M. Hall, S. Hambrusch, E. Walker, and S. Zweben, “Generation cs: the growth of computer science,” ACM Inroads, vol. 8, no. 2, p. 44–50, May 2017. doi: 10.1145/3084362 . [9] J. R. Warner, J. Childs, C. L. Fletcher, N. D. Martin, and M. Kennedy, “Quantifying disparities in computing education: Access

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hannah Oluwatosin Abedoh, Morgan State University; Blessing Isoyiza ADEIKA, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Abiola Olayinka Ajala, Morgan State University; OLUWATOYOSI OYEWANDE, Morgan State University

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Paper ID #48972BOARD # 77: Perception of the Impact of Generative Artificial Intelligenceon EducationMrs. Hannah Oluwatosin Abedoh, Morgan State University Hannah Abedoh is a highly motivated doctoral student in Business Management, specializing in Information Science and Systems. She is actively engaged in advanced research, focusing on the impact of Generative Artificial Intelligence on learning.Blessing Isoyiza ADEIKA, Morgan State University Blessing Isoyiza ADEIKA is a Ph.D. student in Computer and Electrical Engineering at Morgan State University, with a strong focus on neuroscience and artificial intelligence. She

Conference Session

Computers in Education Division (COED) Track 4.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

David Foley, Universite de Sherbrooke

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engineering students), analysis, communicationsand redesign [2]. Through these iterations, the work converged in 2020 to a visual system ofknowledge organization named Concept-Space. The name is related to concept map [3], but"map" implies a two-dimensional canvas, while "space" is not limited to two dimensions and isused to imply extra dimensions. Figure 1 shows how Concept-Space represents concepts asexpandable named boxes and relations between concepts by one of three visual means: a) byarrows with linking phrases, like in concept maps; b) by making a concept be contained insidethe space of a parent concept, and c) by attaching concept on the border of a concept. Thefollowing section explains how concepts of Concept-Space are designed to

Conference Session

Computers in Education Division (COED) Track 2.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jason M. Keith, Iowa State University of Science and Technology; Jason Coleman, Kansas State University; Lis Pankl, Mississippi State University

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Paper ID #46169The Role of Artificial Intelligence in Advancing Student Success: Perspectivesfrom Three Land Grant InstitutionsDr. Jason M. Keith, Iowa State University of Science and Technology Jason Keith is Senior Vice President and Provost at Iowa State University. Prior to this, he served as Dean of the Bagley College of Engineering at Mississippi State, and was on the faculty of Michigan Technological University. With a B.S. from The University of Akron and a Ph.D. from the University of Notre Dame, Keith is a fellow of ASEE (2014).Jason Coleman, Kansas State UniversityDr. Lis Pankl, Mississippi State University Dr

Conference Session

Computers in Education Division (COED) Track 5.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Russell Feldhausen, Kansas State University; Nathan H Bean, Kansas State University; Joshua Levi Weese, Kansas State University; David S. Allen, Kansas State University

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responses to the RIS survey for each student. The Shapiro-Wilk normality test on the resulting data produced p = 0.80, much larger than the p > 0.05standard; therefore the new WRI measure is normally distributed. The mean WRI valuewas 1.40 with a standard deviation of 0.38. Larger WRI values indicate a stronger ruralidentity. Table 2: Significant Factor Loadings Item 1 Factor 2 Factor A 2 Factor B Q1 0.46 0.61 Q2 Q3 0.65 Q4 0.48 0.63 Q5 0.47 0.58 Q6 0.45

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gerald Tembrevilla, Mount Saint Vincent University; Mohosina Jabin Toma, University of British Columbia, Vancouver

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: A Year of Local Eating)," in Canadian Geographic vol. 127, ed. Ottawa: Royal Canadian Geographical Society, 2007, p. 91.[2] A. D. Smith and J. B. MacKinnon, The 100-mile diet: a year of local eating (no. Book, Whole). Toronto: Vintage Canada (in English), 2007.[3] D. Beers. "The 100-Mile Diet, 15 Years Later." The Tyee. https://thetyee.ca/News/2020/06/29/The-100-Mile-Diet-15-Years-Later/ (accessed June 20, 2023).[4] P. Devine-Wright, "Think global, act local? The relevance of place attachments and place identities in a climate changed world," Global environmental change, vol. 23, no. 1, pp. 61-69, 2013, doi: 10.1016/j.gloenvcha.2012.08.003.[5] L. Manzo, P. Devine-Wright, Taylor, and A. Z. Francis

Conference Session

Computers in Education Division (COED) Track 3.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

Samuel B Mazzone, Marquette University; Dennis W Brylow, Marquette University

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Paper ID #49397ECS Web Lab: A Web-Based Solution for Equitable and Engaging WebDevelopment EducationMr. Samuel B Mazzone, Marquette UniversityDr. Dennis Brylow, Marquette University ©American Society for Engineering Education, 2025 ECS Web Lab: A Web-Based Solution for Equitable and Engaging Web Development Education AbstractUCLA developed the Exploring Computer Science (ECS) curriculum to increase participation ofwomen and people of color in computer science, focusing on content comprehension,inquiry-based learning, and educational equity. Initially launched in Los

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Neha B. Raikar, University of Maryland Baltimore County; Nilanjan Banerjee

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Paper ID #39758Board 56: Using anonymous grading for high-stakes assessments to reduceperformance discrepancies across student demographicsDr. Neha B. Raikar, University of Maryland Baltimore County Dr. Raikar is a Lecturer at the University of Maryland, Baltimore County in the Chemical, Biochemi- cal, and Environmental Engineering department. She has taught both undergraduate and graduate-level courses. Dr. Raikar also has 3 years of industry experience from working at Unilever Research in the Netherlands.Dr. Nilanjan Banerjee Nilanjan Banerjee is an Associate Professor at University of Maryland, Baltimore County. He is an

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Daniel A. Tillman, University of Texas, El Paso; Wei Yan, Texas A&M University; Song An, University of Texas, El Paso; Jeffrey Liew, Texas A&M University; Kien H. Lim; Lisa Garbrecht, University of Texas, Austin; Philip B. Yasskin

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interests are on studentsˆa C™ problem-solving disposition and instructional strate- gies to advance their ways of thinking. Dr. Lim is particularly interested in impulsive disposition, stu- dentsˆa C™ propensity to act out the first thing thatLisa Garbrecht, University of Texas, AustinPhilip B. Yasskin ©American Society for Engineering Education, 2023Introduction Mathematics has historically been taught in ways that are a barrier to minority studentspursuing advanced STEM courses in high school and college [1] while current teaching methodsare heavily reliant on spoken and written language, which can be particularly problematic forbilingual students [2]. Consequently, too few underserved students such as

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Evelyn Sowells-Boone, North Carolina A&T State University; Pal Dave, North Carolina A&T State University

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Paper ID #45588BOARD # 69: Improving Student Retention Using Research MentorsDr. Evelyn Sowells-Boone, North Carolina A&T State University Dr. Evelyn R. Sowells is an assistant professor in the Computer Systems Technology department at North Carolina A&T State University’s College of Science and Technology.Pal Dave, North Carolina A&T State University ©American Society for Engineering Education, 2025 Improving Student Retention Using Research MentorsAbstractThe Advancing Retention via Research Opportunities for Workforce Development in STEM(ARROWS) Project aims to boost minority

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Daniel Kane, Utah State University; Wade H Goodridge, Utah State University; Linda Davis Ahlstrom, Utah State University; Oenardi Lawanto, Utah State University; Michaela Harper, Utah State University; Cassandra J McCall, Utah State University

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Paper ID #47960BOARD # 98: WIP: Understanding Patterns of Generative AI Use: A Studyof Student Learning Across University CollegesDaniel Kane, Utah State University Daniel Kane is a third-year Ph.D. student in the department of engineering education at Utah State University. His research interests include spatial ability, accessibility for students with disabilities, artificial intelligence in education, and enhancing electric vehicle charging system infrastructure. Daniel has contributed significantly to the development of the Tactile Mental Cutting Test (TMCT) which is a significant advancement in assessing

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nadya Shalamova, Milwaukee School of Engineering; Olga Imas, Milwaukee School of Engineering; James Lembke; Maria Pares-Toral, Milwaukee School of Engineering; Derek David Riley, Milwaukee School of Engineering; Daniel Bergen, Milwaukee School of Engineering

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Paper ID #46417BOARD # 94: WIP: Shaping the Future of Learning: The rAIder Strategyfor Applied AI-Driven Education at MSOEDr. Nadya Shalamova, Milwaukee School of Engineering Nadya Shalamova is an Assistant Professor and the Director of the Technical Communication Program at the Milwaukee School of Engineering. Her research interests include interdisciplinary collaboration in engineering, science, and technical communication.Dr. Olga Imas, Milwaukee School of Engineering Olga Imas, Ph.D., is a professor of biomedical engineering at the Milwaukee School of Engineering, where she teaches a variety of courses in biomedical

Conference Session

Computers in Education Division (COED) Track 5.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alberto G De La Cruz, Savannah State University; Mir M Hayder, Savannah State University

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Paper ID #45941Workshops in Computer Science and Cybersecurity: Preparing UnderrepresentedMinority and Female Students in STEM and Non-STEM MajorsProf. Alberto G De La Cruz, Savannah State University Assistant Professor and Program Coordinator of Computer Science Technology at Savannah State UniversityDr. Mir M Hayder, Savannah State University Dr. Hayder is a Professor and the Coordinator of the Mechanical Engineering Technology program at Savannah State University. ©American Society for Engineering Education, 2025 Workshops in Computer Science and Cybersecurity: Preparing Underrepresented Minority and

Conference Session

Computers in Education Division (COED) Track 4.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Julian Ly Davis, University of Southern Indiana; Bradley Lane Kicklighter P.E., University of Southern Indiana

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Paper ID #46284Tips and Tricks on Using LaTeX for Creating Teaching Materials—PerspectivesFrom Two Engineering FacultyDr. Julian Ly Davis, University of Southern Indiana Jul Davis is an Associate Professor of Engineering at the University of Southern Indiana in Evansville, Indiana. He received his PhD in 2007 from Virginia Tech in Engineering Mechanics where he studied the vestibular organs in the inner ear using finite element models and vibration analyses. After graduating, he spent a semester teaching at a local community college and then two years at University of Massachusetts (Amherst) studying the biomechanics of

Conference Session

Computers in Education Division (COED) Track 3.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Keith Hekman, California Baptist University

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grading forAutoCAD and Excel, one professor used both email and web-based grading for AutoCAD,Excel, and SOLIDWORKS, and two professors have only used web-based grading forAutoCAD. These professors solicited their opinions about the web grading.From a professor who has taught many sections of the AutoCAD and Excel class, both withemail and web-based grading: A. Program has so much promise, especially for teachers who are limited in time to grade CAD assignments for large classes, B. Love the fact that you can create your own CAD.dwg file and make it part of the grading system’s list of assignments to assess, C. Has the potential to be launched via an APP and have students view their scores and mistakes D. Feedback via