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)

be used in education in a creative and ethical way.Dr. Kristi J. Shryock, Texas A&M University Dr. Kristi J. Shryock is the Frank and Jean Raymond Foundation Inc. Endowed Associate Professor in Multidisciplinary Engineering and Affiliated Faculty in Aerospace Engineering in the College of Engineering at Texas A&M University. She also serves as Director of the Craig and Galen Brown Engineering Honors Program. She received her BS, MS, and PhD from the College of Engineering at Texas A&M. Kristi works to improve the undergraduate engineering experience through evaluating preparation in areas, such as mathematics and physics, evaluating engineering identity and its impact on retention, incorporating

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ibukun Samuel Osunbunmi, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Viyon Dansu, Florida International University; Yashin Brijmohan, University of Nebraska, Lincoln; Bolaji Ruth Bamidele, Utah State University; Abasiafak Ndifreke Udosen, Purdue University, West Lafayette; Lexy Chiwete Arinze, Purdue University, West Lafayette; Adurangba Victor Oje, University of Georgia; Deborah Moyaki, University of Georgia; Melissa J Hicks, Pennsylvania State University; Bono Po-Jen Shih, Pennsylvania State University

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Diversity

Tagged Divisions

Computers in Education Division (COED)

Ethics Institute and the Leonhard Center for Enhancement of Engineering Education—to facilitate exchange and collaboration between philosophers and engineers. Prior to joining Penn State, he was a postdoctoral research fellow at the Science History Institute working on the history of engineering ethics education. Shih earned his PhD and MS in science and technology studies (STS) from Virginia Tech. He also has a graduate certificate in engineering education (ENGE) from Virginia Tech and a Bachelor of Science in electrical engineering from National Taiwan University. ©American Society for Engineering Education, 2024 Generative Artificial Intelligence (GAI) Assisted Learning: Pushing the

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Zifeng Liu, University of Florida; Rui Guo, University of Florida; Xinyue Jiao, New York University; Xueyan Gao, University of Florida; Hyunju Oh, University of Florida; Wanli Xing, University of Florida

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Computers in Education Division (COED)

programmingeducation and real-time feedback, relieving teachers’ workload while giving studentspersonalized curricular information tailored to their needs. Additionally, AI is usually used as adata analytics tool to predict student performance. The reviewed articles focus on AI’s cognitiveand affective impact on students and found positive effects on those variables. At the same time,AI allows for better analysis and utilization of data on student behavior while programming.Limitations in the current reviewed articles on AI in K-12 CS education include insufficientattention to theoretical adoption, ethical concerns, and methodological issues like small samplesizes. This review highlights the critical role of AI in K-12 CS education and illuminatesdirections

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Walter W Schilling Jr., Milwaukee School of Engineering

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Computers in Education Division (COED)

them and their risks is notsomething built into our engineering curriculum, with the exception of students who enroll in ournetwork security elective.There also is a strong ethical aspect of this work. As a consulting company, employees aredirectly connected to clients’ networks, either through remote access, or preferably, clientsupplied devices which are maintained by the client’s IT organization. This environment placesemployees in potentially ethically challenging environments, as it is likely they may identifypotential vulnerabilities inside of a client’s environment that could be exploited by an externalentity. However, the company is not authorized to investigate or fix these issues. Thus, a strongculture of reporting issues that are

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sofia M Vidalis, Pennsylvania State University; Rajarajan Subramanian, Pennsylvania State University; Fazil T. Najafi, University of Florida

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Computers in Education Division (COED)

recognized. 4. Writing Voice: Students emphasized maintaining their writing style while leveraging AI for assistance. 5. Commitment: The importance of personal engagement and critical thinking in academic work was highlighted.Recommendations for Improved Integration:  Enhanced Resources and Training: Providing students with resources and training opportunities to effectively utilize AI tools in engineering education.  Critical Thinking and Verification: Emphasizing the importance of independent verification and critical thinking alongside AI-generated information.  Ethical Considerations: Raising awareness about potential biases and the evolving nature of AI, promoting responsible use. Developing new

Conference Session

Spotlight on Diverse Learners

Collection

2024 ASEE Annual Conference & Exposition

Authors

Manuel A. Pérez-Quiñones, University of North Carolina; Debarati Basu, Embry Riddle Aeronautical University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

pedagogy, fairness in AI, disinformation, social justice addressing theinequities of society, and ethics/professionalism topics. In most of these topics, equity incomputing is still forming and not widely seen as an integral part of the discipline.N. Washington [31] discusses the glaring omission of non-technical issues from the CScurriculum that would allow CS students, and future professionals, to understand, analyze, andoffer solutions about the inequity and lack of representation that exists in computing. Dr.Washington argues that there is a need for all CS students to have a level of cultural competenceso that students can begin to understand, critically analyze and look for solutions that willimprove equity in our field. Another CS Educator

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alyson G. Eggleston, Pennsylvania State University; Robert J. Rabb P.E., Pennsylvania State University

Tagged Divisions

Computers in Education Division (COED)

; (3) boundaries around AI use, with some calling for aninternational regulation [7-9].Everybody’s Doing ItWhile scholars argue about what ‘authorship’ even means in the age of LLMS [10], what is clearis that STEM practitioners have been early adopters of this technology. Healthcare and medicalscientists warn that LLM-driven AI is an “experimental technology that is not ready for primetime,” [11-12] in the sense that it can only augment human decision making if it iterates within“an ethical, technical, and cultural framework for responsible design, development, anddeployment.”LLMs and Engineering EducationSelected educators are advocating for the use of transparent LLM-assisted report writing, findingmixed results and some benefits for

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

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Computers in Education Division (COED)

interdisciplinary engineering projects. Degree: Articulate how diverse perspectives and expertise from multiple disciplines contribute to the richness of ideas generated during brainstorming sessions.7. Behavior: Identify potential barriers to effective brainstorming and propose strategies to overcome them. Conditions: Given examples of common challenges encountered during brainstorming sessions. Degree: Demonstrate awareness of factors such as groupthink, lack of participation, and dominance dynamics, offering solutions to mitigate these obstacles.8. Behavior: Evaluate the ethical implications of design decisions resulting from brainstorming sessions. Conditions: Presented with ethical dilemmas related to engineering design choices. Degree

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bobby F Hodgkinson, University of Colorado Boulder; Nathan Eric Whittenburg, University of Colorado Boulder

Tagged Divisions

Computers in Education Division (COED)

ourlearning management system. These achievements paved the way for the initial development ofan AI-based grading assistant. Mindful of the ethical considerations associated with a fullyautomated grader, we focused on creating a tool to assist, rather than replace, humangraders.This AI assistant streamlines the evaluation of group lab reports, traditionally a time-intensivetask in large-scale courses. By uploading nameless lab reports to a LLM through an APIinterface, the system efficiently identifies and highlights segments that align closely with specificrubric items. This process is designed to isolate the most relevant sections of each report,providing a preliminary guide for human graders. The aim is to enhance grading efficiency andconsistency

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lucas J. Wiese, Purdue University at West Lafayette; Alejandra J. Magana, Purdue University at West Lafayette

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Computers in Education Division (COED)

Paper ID #42501A Department’s Syllabi Review for LLM Considerations Prior to University-standardGuidanceLucas J. Wiese, Purdue University at West Lafayette Lucas Wiese is a PhD student in Computer and Information Technology at Purdue University. He studies AI ethics education and workforce development and works in the Research on Computing in Engineering and Technology Education lab (ROCkETEd) and the Governance and Responsible AI Lab (GRAIL).Dr. Alejandra J. Magana, Purdue University at West Lafayette Alejandra J. Magana, Ph.D., is the W.C. Furnas Professor in Enterprise Excellence in the Department of Computer and

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Brayan A Díaz, North Carolina State University; Kevin Han, North Carolina State University

Tagged Divisions

Computers in Education Division (COED)

ethical considerations in working with K-12 studentsand obtaining authorization from school districts to the EDM community. The objectives of the EDM course are to cultivate an environment where students can acquireknowledge and develop skills associated with data science techniques, advanced software usage for dataanalysis, and learning theories and educational practices to interpret and design educational interventions. Considering that it is very likely that participants in an EDM course may come from strong datascience or education backgrounds, there are two considerations to accomplish the learning outcomes ofthe EDM course. First, students must learn concepts and skills that may not be part of their background,such as

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gerald Tembrevilla, Mount Saint Vincent University; Mohosina Jabin Toma, University of British Columbia, Vancouver; Marina Milner-Bolotin, University of British Columbia, Vancouver

Tagged Topics

Diversity

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Computers in Education Division (COED)

(reflection-on-action) [11], and improve for future implementations (reflection-for-action) [13]. In addition, during the school practicum, preservice teachers’ ongoing collaborationwith their university practicum advisor, associate teacher, school staff, and fellow preserviceteachers allow preservice teachers to acquire and improve their collective knowledge of thenature of learning, the diverse development of their students (intellectual, physical, social,emotional, etc.), professional, social, legal, and ethical responsibility [12].In the spring of 2020, COVID-19 pandemic brought significant restrictions and changing healthprotocols that lasted until winter 2023. These changes affected many of Canada’s ITE programsand consequently the conduct of

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jason M. Keith, Mississippi State University; Amin Amirlatifi, Mississippi State University; Shahram Rahimi; Subash Neupane, Mississippi State University; Sudip Mittal

Tagged Divisions

Computers in Education Division (COED)

the ethical use of AI. Additionally, faculty hiring trends in STEMfields have brought in faculty who have access to and experience in using “toolboxes” such as AI,machine learning, data science and cybersecurity to enhance their research. Furthermore, to helpcontextualize academic research needs at comprehensive institutions, many university libraries areadding faculty positions with specific aims including data science, copyright / intellectual property;virtual / extended reality and AI / emerging technologies to support research in critical areas suchas autonomy, advanced materials, big data, cultural geography, linguistics, discovery and digitalhumanities.Aside from formulation of the algorithms behind LLM’s [1], a great deal of dialogue

Conference Session

Spotlight on Diverse Learners

Collection

2024 ASEE Annual Conference & Exposition

Authors

Isabella Gransbury, North Carolina State University; Monica M. McGill, Institute for Advancing Computing Education; Leigh Ann DeLyser

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

1 2% 1 2% 1 3% 1 2% Funding 26 52% 21 46% 19 51% 19 46% Language 1 2% 1 2% 1 3% 2 5% Low Study Participation 8 16% 8 17% 8 22% 8 20% Publishing Challenges 6 12% 5 11% 4 11% 5 12% Research Ethics Approval 8 16% 8 17% 4 11% 6 15% Research Interest 7 14% 7 15% 4 11% 7 17% Lack of Admin Training in CER 12 24% 12 26% 11 30% 11 27% Social-Familial Influences 4 8% 3 7% 3 8

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

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

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) 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

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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