Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Zoe Wood, California Polytechnic State University, San Luis Obispo; Miguel Manoah Refugio Greenberg

Tagged Divisions

Computers in Education Division (COED)

wants will be about coming up withthe right examples, the right training data, and the right ways to evaluate the training process” [9].On the other hand, these researchers think that ethics should become a more important aspect ofteaching computer science. Two studies mentioned potential bias in the data that led to inaccuratecoding. For example, ChatGPT was unable to generate accurate answers for an examinationspecific to the country of India. The authors suspect this is because ChatGPT training dataincludes less information about countries and contexts that are less represented on theinternet [4].My work departs from these studies summarized above because most of them were conducted incollege courses and not high school courses. Also, the

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Eesha tur razia babar; Ahmed Ashraf Butt, University of Oklahoma

Tagged Divisions

Computers in Education Division (COED)

work will expand toregression problems and incorporate local interpretability techniques like LIME and Eli5.References [1] O. Scheuer and B. M. McLaren, “Educational data mining,” in Encyclopedia of the Sciences of Learning, Boston, MA: Springer US, 2012, pp. 1075–1079. [2] F. Alshareef, H. Alhakami, T. Alsubait, and A. Baz, “Educational Data Mining Applications and Techniques,” International Journal of Advanced Computer Science and Applications, vol. 11, 2020. [3] T. Zarsky, “Transparency in data mining: From theory to practice,” in Studies in Applied Philosophy, Epistemology and Rational Ethics, Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 301–324. [4] S. Roy and A. Garg, “Predicting academic performance of

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Johannes Kubasch, University of Wuppertal; Dominik May, University of Wuppertal; Doha Meslem, Bergische Universität Wuppertal

Tagged Divisions

Computers in Education Division (COED)

, I. González, and J. E. López de Vergara, "Naturallanguage processing for web browsing analytics: Challenges, lessons learned, andopportunities," Computer Networks, vol. 198, 108357, 2021. [Online]. Available:https://doi.org/10.1016/j.comnet.2021.108357E. A. Heil, Methode der systematischen Literaturrecherche. Justus-Liebig-UniversitätGießen, 2021. [Online]. Available: http://dx.doi.org/10.22029/jlupub-17189F. Farhi, R. Jeljeli, I. Aburezeq, F. F. Dweikat, S. A. Al-shami, and R. Slamene, "Analyzingthe students' views, concerns, and perceived ethics about ChatGPT usage," Computers andEducation: Artificial Intelligence, vol. 4, 100180, 2023. [Online]. Available:https://doi.org/10.1016/j.caeai.2023.100180H. Du, Q. Jia, E. Gehringer, and X. Wang

Conference Session

COED: Grading Systems

Collection

2023 ASEE Annual Conference & Exposition

Authors

Marko V. Lubarda, University of California, San Diego; Alex M. Phan, University of California, San Diego; Aidan Daniel Carrigg; Karthik Srinivasan; Josephine Relaford-Doyle, University of California, San Diego

Tagged Topics

Diversity

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Computers in Education Division (COED)

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Marshall Ismail, Worcester Polytechnic Institute; Devin Kachadoorian, Worcester Polytechnic Institute; Sahil Mirani, Worcester Polytechnic Institute; D. Matthew Boyer, Clemson University; Tim Ransom, Clemson University; Ahmet Can Sabuncu, Worcester Polytechnic Institute

Tagged Divisions

Computers in Education Division (COED)

. Thisdemand often exceeds the capacity of available TAs, leading to delays in addressing studentconcerns and creating a bottleneck in the learning process. Additionally, the repetitive nature ofmany inquiries can detract from TAs' ability to provide meaningful, in-depth guidance [6]. AI chatbots offer a scalable solution to mitigate these challenges by complementing therole of TAs. These tools can handle repetitive, procedural queries, allowing TAs to focus on morecomplex instructional tasks. Moreover, AI systems equipped with problem-solving frameworkscan promote response consistency, reducing variability in student support [7]. Despite theseadvantages, integrating AI tools must address ethical considerations and potential limitations,such as

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Heena Rathore, Texas State University; Henry Griffith, San Antonio College

Tagged Divisions

Computers in Education Division (COED)

, making participants more conscious of cyberse-curity and its implications. This residential program exposed high school students and teachers todiverse cyberspace subjects, including history, ethics, applications, and security, through discus-sions, hands-on labs, activities like a cryptographic treasure hunt, film sessions, and a final cyberchallenge. The 2008 camp, hosted by the College of Engineering and Science in collaborationwith the College of Liberal Arts, engaged 30 students and 10 teachers, offering a comprehensivelearning experience.University of Illinois at Chicago, “Treasure Hunt” is an interactive educational game designed formiddle-grade children, centered around the utilization of cryptography 18 . The game’s objectiveis to

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Shameel Abdulla, Texas A&M University, Qatar; Yasser M. Al Hamidi, Texas A&M University, Qatar; Marwan Khraisheh, Texas A&M University, Qatar

Tagged Divisions

Computers in Education Division (COED)

education.Chatbots may struggle to handle complex or ambiguous questions from students and may lack thehuman touch and empathy that teachers provide. Additionally, chatbots require constant updatingand maintenance to keep up with the curriculum and standards. There are also ethical and privacyconcerns regarding the data that chatbots collect and use [15]. Furthermore, chatbots may not beaccessible or affordable for all students and schools, and current chatbot technologies might notbe readily accessible for people with disabilities [16]. Since Chatbots are trained based oninformation on the internet or human-curated content, they may carry the same biases as those ofthe original authors [17]. This paper details a framework to tackle a few of these

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education Division (COED)

its use, higher education institutions must consider future assessment of studentwork [5]. One study that investigated the ethical ramifications on student use of AI in anengineering course revealed the potential benefits of utilizing AI as a form of collaboration [6].Some of the listed benefits include: the ability for a student to discuss a topic with a veryknowledgeable machine partner, a means for efficient research of a particular topic, and thepossibility to operate as a programming assistant due to the well-commented codegenerated.The integration of technology and innovative approaches in education has the potential to enhancethe way engineering students learn. Today’s students benefit from technological advancementsthat allow them a

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

Momina Liaqat Ali; Zhou Zhang, Middle Tennessee State University

Tagged Divisions

Computers in Education Division (COED)

natural HCI in education and further 2024 ASEE Annual Conference and Exposition Portland, Oregon, USA, June 23-26, 2024 Ali, M. & Zhang, Z.investigations into the incorporation of emerging technologies will contribute to the continuousadvancement of the field. Figure 8: Statistic of students performance.References[1] Brey, P., 2014, “Virtual reality and computer simulation”, In: Ethics and Emerging Technologies, pp. 315-332, Palgrave Macmillan UK. 2024 ASEE Annual Conference and Exposition Portland

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)

technologies both ethically and strategically. As technologicalinnovation continues to accelerate, cultivating the skills needed to explore and evaluatetechnology will remain essential for future leaders.References [1] J. E. Thistlethwaite et al. “The effectiveness of case-based learning in health professional education. A BEME systematic review: BEME Guide No. 23”. In: Medical Teacher 34.6 (2012), e421–e444. DOI: 10.3109/0142159X.2012.680939. [2] K. M. Bonney. “Case Study Teaching Method Improves Student Performance and Perceptions of Learning Gains”. In: Journal of Microbiology & Biology Education 16.1 (2015), pp. 21–28. DOI: 10.1128/jmbe.v16i1.846. [3] M. Krain. “Putting the Learning in Case Learning? The Effects of Case-Based

Conference Session

Computers in Education Division (COED) Track 3.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Robert J Kerestes, University of Pittsburgh; Jack Thomas Carnovale, University of Pittsburgh; Paulo Radatz

Tagged Divisions

Computers in Education Division (COED)

, students take a practicum exam where Python serves as a vital componentof the assessment. While generative AI tools are not required or explicitly taught for the Pythonprogramming assignments, students are encouraged to use them for validation, debugging, andimproving code efficiency. Students also engage in a dedicated ethics assignment to explore theethical considerations surrounding the use of generative AI in power systems analysis anddesign.To measure the perceived effectiveness of these hands-on Python exercises, the course includes anindirect assessment in the form of midterm and end-of-term surveys, gathering feedback on thestudents’ learning experiences.A vital feature of this approach is the coupling of Python with PowerWorld, a widely

Conference Session

Computers in Education Division (COED) Track 4.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Carlos Sotelo, Tecnologico de Monterrey, School of Engineering and Sciences; David Sotelo, Tecnologico de Monterrey, School of Engineering and Sciences; Erick Ramírez-Cedillo, Tecnologico de Monterrey, School of Engineering and Sciences; Félix Martínez-Jiménez, Tecnologico de Monterrey, School of Engineering and Sciences; Ana I. Benavides Lahnstein, Manchester Metropolitan University; Alison Buxton, University of Sheffield

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Diversity

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Computers in Education Division (COED)

isimplemented to teach the human skeletal anatomy. Thus, visualization and interaction of abstractscientific concepts are carried out. In this paper, an interactive learning tool that complements thelessons of the school syllabus is presented. It is an outcome of a research collaboration betweenthe University of Sheffield, England and Tecnologico de Monterrey, Mexico, and it has beenimplemented in different environments in England, which contributes to being evaluated fromdifferent perspectives [10]. The research work uses AR technology to further users’ learningexperience. Additionally, responsible and ethical applications of Artificial Intelligence (AI) areperformed.Literature ReviewQuality EducationBased on the Sustainable Development Goals (SDG) of

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Emre Tokgoz, State University of New York - Farmingdale; Alyssa Xiang

Tagged Divisions

Computers in Education Division (COED)

sectionfocuses on the quantitative analysis of the data. Section 4 contains the qualitative results heavily 2relying on the video recorded interviews. The last part of our work focuses on the conclusions andpossible future work that can be undertaken by other educators and researchers.2. Research MethodologyThis study was conducted at a public university in the Northeastern United States by a PrincipalInvestigator (P.I.) and a team of five research assistants. The research was approved by theInstitutional Review Board (IRB) to ensure that human rights and ethics are applied properly. Asurvey and follow-up interviews were conducted with the participants

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Siddharthsinh B Jadeja, University at Buffalo, The State University of New York; Corey T Schimpf, University at Buffalo, The State University of New York; A Lynn Stephens

Tagged Divisions

Computers in Education Division (COED)

thesupport provided by an expert to learners, continuing their engagement in learning activitiesbeyond their current abilities; for example, to help students solve a problem and justify anunfamiliar method [19], [20]. Here, scaffolding support will be provided by an AI agent. However,our goal is to explore how researchers have delineated students' problem space in a way that stillallows creativity and agency. We want AI agents to respect the complexities of the problem whilesupporting it, motivating students to be interactive.Previous systematic reviews of design thinking and AI have focused on other issues. For instance,[22] considered justice, bias and ethics embodying AI in the design process, with a focus onbusiness design. Chen et al. [28

Conference Session

Computers in Education Division (COED) Track 4.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

David Foley, Universite de Sherbrooke

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

-Space as their primary tool for project documentation and collaboration. Thisreplaced the standard OneNote system used by other teams. The team was tasked withmaintaining detailed logs of their work, including stakeholder interviews, concept development,and prototyping. The primary goal of this study was to evaluate the platform’s effectiveness andreadiness in supporting dynamic, multidisciplinary, and collaborative activities.Subsequent to the 2022 study, Concept-Space was adopted for the entire course in 2023 and2024, involving approximately 200 students each year. However, ethics approval was notobtained for these later iterations, so only general outcomes are reported for these years.3.2.1 Data CollectionTeaching Assistant Interviews: A

Conference Session

Computers in Education Division (COED) Track 6.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ryan Edward Dougherty, United States Military Academy; Maria R. Ebling, United States Military Academy

Tagged Divisions

Computers in Education Division (COED)

: CS1 courses usually only focus on writing code,algorithms and theory courses predominantly focus on formal proofs, ethics or professionalresponsibilities courses based on individual reports, and research seminars on research talksand papers. To date, there has been little investigation as to how communication skillsdeveloped in one CS course impact similar skills in a subsequent course.This paper aims to begin to understand the above issues with a focus on writing and pre-sentation skills. We pose the following research questions: • RQ1: Does a student’s overall performance in a technical CS course that has a com- munication skills assignment impact their performance in a later technical CS course with a similar such assignment

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Syed Hasib Akhter Faruqui, Sam Houston State University; Nazia Tasnim, University of Texas at Austin; Iftekhar Ibne Basith, Sam Houston State University; Suleiman M Obeidat, Texas A&M University; Faruk Yildiz, Sam Houston State University

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Computers in Education Division (COED)

remains critical. The constraints of current GenAI models 2 This protocol paper hasn’t included any result analysis. We plan to publish the raw data and analyzed results infuture publications.need careful assessment before wide deployment. There are outstanding questions surroundingoptimizing these tools to avoid harm, embed ethical principles, and promote equitable access thatrequire further research.Beyond the primary outcomes, our trial will also attempt to uncover insights into how studentsinteract with GenAI tools compared to standard materials. Analyzing usage patterns, queries,focus from eye tracking information, and qualitative feedback will reveal opportunities to optimizethese systems for even greater effectiveness. Our findings

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mariza Tsakalerou, Nazarbayev University; Michalis N. Xenos, University of Patras; Semira Maria Evangelou, University of Patras

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Creativity, 41, 100888.[5] M. L. How, S. M. Cheah, Y. J. Chan, A. C. Khor, and E. M. P. Say, "Artificial Intelligence for Advancing Sustainable Development Goals (SDGs): An Inclusive Democratized Low-Code Approach," in The Ethics of Artificial Intelligence for the Sustainable Development Goals, pp. 145-165, Cham, Springer International Publishing, 2023.[6] J. Metrôlho, F. Ribeiro, P. Graça, A. Mourato, D. Figueiredo, and H. Vilarinho, "Aligning Software Engineering Teaching Strategies and Practices with Industrial Needs," Computation, vol. 10, p. 129, 2022.[7] Avishahar-Zeira and D. H. Lorenz, "Could No-Code Be Code? Toward a No-Code Programming Language for Citizen Developers," in Proceedings of the 2023 ACM SIGPLAN International

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

John K. Estell, Ohio Northern University; Lisa Graham Robeson, Ohio Northern University; Ye Hong, Ohio Northern University; Stephany Coffman-Wolph, Ohio Northern University

Tagged Topics

Diversity

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Computers in Education Division (COED)

Division Service Award. Estell currently serves as an ABET Commissioner and as a subcommittee chair on ABET’s Accreditation Council Training Committee. He was previously a Member-At-Large on the Computing Accreditation Commission Executive Committee and a Program Evaluator for both computer engineering and computer science. Estell is well-known for his significant contributions on streamlining student outcomes assessment processes and has been an invited presenter at the ABET Symposium on multiple occasions. He was named an ABET Fellow in 2021. Estell is also a founding member and current Vice President of The Pledge of the Computing Professional, an organization dedicated to the promotion of ethics in the computing

Conference Session

Computers in Education Division (COED) Track 2.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Venkata Alekhya Kusam, University of Michigan - Dearborn; Zheng Song, University of Michigan - Dearborn; Khalid Kattan, University of Michigan - Dearborn; Bruce R Maxim, University of Michigan - Dearborn

Tagged Divisions

Computers in Education Division (COED)

use these tools ethically and effectively 23,24,25,26 .Additionally, research highlights the importance of custom-tailored AI solutions that addressdiverse student needs, enhance engagement, and adapt teaching materials for better learningoutcomes, particularly in online learning environments 27,28,20 .Recent studies have extensively explored the use of Generative AI (GenAI) for quiz generation,focusing on areas such as prompt engineering, integration design, and alignment with pedagogicalframeworks 29,30,31 . These studies often evaluate the technical efficacy of GenAI-generated quizzesor their adherence to learning like Bloom’s taxonomy, but they lack rigorous comparative testingin real educational settings 30 .In contrast, our study is the

Conference Session

Computers in Education Division (COED) Track 4.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

Michael Thomas Vaccaro Jr, University of Connecticut; Mikayla Friday, University of Connecticut; Zeynep Gonca Akdemir-Beveridge, University of Connecticut; Arash Esmaili Zaghi P.E., University of Connecticut

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Diversity

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Computers in Education Division (COED)

learningenvironment.We foresee that this study will provide valuable insights for both research and practice inengineering education. For researchers, it offers a framework to explore the potential of AI-driven text personalization in improving student outcomes and addressing diverse learning needs.For practitioners, the tool’s ability to adjust academic texts provides a practical means ofenhancing engagement and comprehension in engineering classrooms. By addressing privacyconcerns through anonymized profiles and ensuring ethical oversight through human-in-the-loopprocesses, the study highlights a thoughtful approach to integrating AI into educational contexts.While further work is needed to evaluate broader applications, this study represents a stepforward in

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

Tagged Topics

Diversity

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Computers in Education Division (COED)

." The event's capacity to appeal to a broadspectrum of interests while keeping a laser-like focus on current concerns influencing thetechnology landscape is reflected in this balancing. For example, individuals working at thenexus of technology and society found great resonance in conversations about AI ethics and IoTsecurity, while those interested in automation and engineering applications were excited byrobotics demos.Another significant advantage of the symposium was networking, as 63% of participants said theopportunities were "very effective." Participants stressed the importance of interacting withmentors and peers who were as passionate about innovation and discovery as they were. Anumber of participants reported making contacts that

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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Diversity

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Computers in Education Division (COED)

, and exploring alternative approaches through AI-powered suggestions, which encourage independent learning. By integrating these tools, the labs aim to enhance technical skill development while promoting the ethical and effective use of AI in engineering problem-solving. • To improve consistency and efficiency in project evaluation, auto-grading mechanisms will be integrated for coding tasks with defined outputs or algorithm correctness, utilizing platforms like MATLAB Grader or custom scripts. Manual grading will be reserved for open-ended components, allowing instructors to provide detailed feedback on creativity, innovation, and problem-solving approaches. This balanced approach ensures both

Conference Session

Computers in Education Division (COED) Track 4.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kyrie Zhixuan Zhou, University of Texas at San Antonio; Chunyu Liu, University of Illinois Urbana-Champaign; Yunqi Li, University of Illinois Urbana-Champaign; Devorah Kletenik, Brooklyn College, City University of New York; Rachel F. Adler, University of Illinois Urbana-Champaign

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Diversity

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Computers in Education Division (COED)

Paper ID #49099Beyond Swipe and Tap: Cultivating Mobile Accessibility Awareness and Knowledgein Computing DisciplinesDr. Kyrie Zhixuan Zhou, University of Texas at San Antonio Kyrie Zhixuan Zhou is an Assistant Professor in the Department of Information Systems and Cyber Security at the University of Texas at San Antonio. His research interests are broadly in Human-centered AI, AI Ethics, Computer Accessibility, and Human-Computer Interaction. He aspires to promote software and AI experience of vulnerable populations through a situated understanding as well as design, education, and governance interventions.Chunyu Liu

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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Diversity

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Computers in Education Division (COED)

“strongly agree,” which eventually helped in measuring teachers’ attitudes in the role of being computer science teachers.Lastly, the survey incorporated items from Teachers’ Self-Efficacy in Computational Thinking(TSECT), which is meant to capture a sense of students’ self-efficacy in utilizing programmingand Computational Thinking [4]. All of these instruments were put together to providea comprehensive evaluation of the impact of the teacher training program in expandingComputer Science Education.3.4 Ethical ConsiderationsParticipants in the study were informed prior to the commencement of the program aboutthe purpose of the study, what it entails and their right to opt out at any time.Identifiable information was collected for the purpose of

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)

feasible, stu-dents should participate in both internship and undergraduate research as their computer sciencetraining. Certain skills, such as locating and synthesizing new work, are important for develop-ers and researchers. We recommend that students be taught skills related to creating a literaturereview. We believe these recommendations will help foster a great IoT learning environment forstudents. 1. Leverage low-cost feature-rich IoT kits like the ESP32 kit 2. Scaffold assignments at each level of IoT stack 3. Incorporate “Show of worthy” assignments 4. Leverage guest lectures from industry professionals 5. Incorporate other components such as AI ethics and Research 6. Be flexible with scheduling and build in-class working