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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Diversity

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Computers in Education Division (COED)

computer science course that teaches programming or requires programming as a prerequisite.” • Offered informal learning opportunities: Variables scq17a through scq17k code yes/no responses to various informal computer science learning opportunities like after-school clubs and summer camps.2.2.2 American Community SurveyThis study also uses public data from the American Community Survey (ACS), an annualsurvey conducted by the United States Census Bureau. We draw from the 2022: ACS1-Year Estimates Subject Tables which provide estimates presented as population countsand percentages on a variety of topics and aggregated by demographic and geographicfactors [16].Sample Design Each year the census selects approximately 3.4 million

Conference Session

Computers in Education Division (COED) Track 3.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yuxuan Chen, University of Illinois Urbana-Champaign; Chenyan Zhao, University of Illinois Urbana-Champaign; Kangyu Feng, University of Illinois Urbana-Champaign; Mattox Alan Beckman, University of Illinois Urbana-Champaign; Mariana Silva, University of Illinois Urbana-Champaign

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Computers in Education Division (COED)

their helpful feedback on earlier drafts of this paper. This material isbased upon work supported by the Strategic Instructional Innovations Program in the GraingerCollege of Engineering at the University of Illinois Urbana-Champaign.References [1] M. Hertz, “What do CS1 and CS2 mean? investigating differences in the early courses,” in Proceedings of the 41st ACM Technical Symposium on Computer Science Education, ser. SIGCSE ’10. New York, NY, USA: ACM, 2010, p. 199–203. [Online]. Available: https://doi.org/10.1145/1734263.1734335 [2] G. Marceau, K. Fisler, and S. Krishnamurthi, “Measuring the effectiveness of error messages designed for novice programmers,” ser. SIGCSE ’11. New York, NY, USA: Association for Computing Machinery

Conference Session

Computers in Education Division (COED) Track 3.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jamie Emily Loeber, zyBooks, A Wiley Brand; Efthymia Kazakou, zyBooks, A Wiley Brand; Yamuna Rajasekhar, zyBooks, A Wiley Brand; Annie Hui, zyBooks, A Wiley Brand; Nicole Kehaulani Collins, zyBooks, A Wiley Brand

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Computers in Education Division (COED)

, USA: Jossey-Bass, 2023, pp. 130-161.[9]​ Center for Excellence in Universal Design. (n.d.). The 7 principles of universal design. [Online] Available: https://universaldesign.ie/about-universal-design/the-7-principles [Accessed March 17, 2025][10]​ Accessibility at Wiley. [Online] Available: https://vendors.wiley.com/accessibility/ [Accessed March 17, 2025][11]​ N. Coombs, Making online teaching accessible: Inclusive Course Design for Students with Disabilities. Wiley Professional Development (P&T), 2010.[12]​ E. Kazakou, A. D. Edgcomb, Y. Rajasekhar, R. Lysecky, and F. Vahid, "Randomized, structured, auto-graded homework: Design philosophy and engineering examples," in ASEE Annual

Conference Session

Computers in Education Division (COED) Track 2.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ryan Tsang, University of California, Davis; SYDNEY Y WOOD, University of California, Davis

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Diversity

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Computers in Education Division (COED)

collaborative learning,” Computers in Human Behavior, vol. 26, no. 5, pp. 787–793, Sep. 2010. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0747563207001525[23] P. Prasad and A. Sane, “A Self-Regulated Learning Framework using Generative AI and its Application in CS Educational Intervention Design,” in Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1, ser. SIGCSE 2024. New York, NY, USA: Association for Computing Machinery, Mar. 2024, pp. 1070–1076. [Online]. Available: https

Conference Session

Computers in Education Division (COED) Track 6.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Abdulrahman AlRabah, University of Illinois at Urbana - Champaign; Zepei Li, University of Illinois at Urbana Champaign; Meredith Blumthal, University of Illinois at Urbana - Champaign; Sotiria Koloutsou-Vakakis, University of Illinois Urbana-Champaign; Volodymyr Kindratenko, University of Illinois Urbana-Champaign; Tomasz Kozlowski, University of Illinois Urbana-Champaign; Abdussalam Alawini, University of Illinois Urbana - Champaign

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Computers in Education Division (COED)

of Illinois Urbana-Champaign Dr. Tomasz Kozlowski is a Professor and Associate Head for the Undergraduate Programs in the Department of Nuclear, Plasma, and Radiological Engineering at the University of Illinois Urbana-Champaign. He received a Ph.D. in Nuclear Engineering from Purdue University in 2005. He has been an active member of the American Nuclear Society (since 1997) and the American Society for Engineering Education (since 2016). He is also a member of the OECD/NEA Nuclear Science Committee Working Party on Reactor Systems (NSC/WPRS) (since 2010) and is serving on the Scientific Board and Technical Committee of the OECD/NEA Benchmark for Uncertainty Analysis in Best-Estimate Modelling for Design

Conference Session

Computers in Education Division (COED) Best of CoED Paper Session (Track 1.B)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jean Louis, University of Florida; Nadia Simone Jean Morrow, University of Florida; Juan E Gilbert, University of Florida

Tagged Divisions

Computers in Education Division (COED)

can read. For instance, a flex sensor changes its resistance inresponse to flexing; reading this change can then trigger a signal to stop or start a motor. In thiscourse, students learned the fundamental principles of circuits and sensors, including Ohm’s lawand resistor, voltage, and current calculations. We also introduced them to various sensors and ac-tuators, such as potentiometers, temperature sensors, motors, and LEDs. To illustrate the practicalapplication of these concepts, students completed exercises like blinking an LED, which servesas the “Hello World” of IoT. Students can build upon this basic understanding in future projects,where they can use it to trigger web requests or control physical devices like water pumps. Addi