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

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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

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Matthew Norris, Virginia Tech; Hamidreza Taimoory, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University; Jacob R Grohs, Virginia Polytechnic Institute and State University

Tagged Divisions

Computers in Education Division (COED)

attention inthe business and public sphere with the release of models like ChatGPT [4] and DALL-E [5],robust applications within the field of engineering education remain are still emerging [6]. Aspart of the recent popularity of large language models (LLM) there have been increasingconcerns about the ethical ramifications in educational and industry settings. In their analysis ofthe practical ethical dangers of ChatGPT Zhuo et al. [7] outline areas of concern for LLMs as agroup; the risk inherent in small models propagating with increased scale, potential biases withinmodel training data, and the ballooning size of LLMs computational requirements. Theseconcerns limit the number of practitioners that are willing to adopt ML, NN, or LLM tools

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

Tagged Divisions

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

COED: AI and ML Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nebojsa I. Jaksic, Colorado State University, Pueblo; Bahaa Ansaf, Colorado State University, Pueblo

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Diversity

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Computers in Education Division (COED)

Intelligence (AI) applications have become an integral part of our lives, from socialapplications on smartphones to crewless vehicles. However, as they remain in the domain of“computer magic,” these new advancements of knowledge processing and reasoning using AI toolswill not be of a great benefit to humanity, unless a complementary education environment isprovided to help students and communities become involved in this scientific revolution early,ethically, and systematically. Introducing and exploring AI concepts and basics earlier in thestudents’ learning journey will help address the future AI job market needs as well as AI ethicsissues and will open the door for new innovative AI applications in all segments of life. The long-term goal of this

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

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ryan L. Solnosky P.E., Pennsylvania State University; Rebecca Napolitano; Wesley F. Reinhart, Pennsylvania State University

Tagged Divisions

Computers in Education Division (COED)

reliance on cloud computing and big data will continuously increase, andnew data-centric technologies and engineering approaches will be developed. Due to this rapidlydeveloping field, there is a need to track these trends and incorporate the corresponding developments intoour current science and engineering curriculum. Besides data science skills already taught in traditionalengineering curricula, such as mathematical, computational, and statistical foundations, the NationalAcademies guide discusses that key concepts in developing data acumen include domain-specificconsiderations and ethical problem-solving. This work-in-progress (WIP) paper will highlight the foundation of a comprehensive study toexplore data science education in two

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

Tagged Divisions

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

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)

to have all its undergraduate engineering, computer science, and cybersecurity degrees to be accredited by ABET (Accreditation Board for Engineering andTechnology). Pursuant to this goal, a capstone project course was added to the updatedcurriculum of the BSCS degree. Even though the six Educational Student Outcomes (ESOs)prescribed by ABET [6] are addressed by the core courses in the curriculum, adding a capstoneproject course to the core curriculum brings together all the six ESOs in one course in a polishedand refined manner for students to see the relationship among all six ESOs. The capstonespecifically focuses on ESO #3 (communication skills), ESO #4 (legal and ethical principles), andESO #5 (teamwork). The foundational block in the

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

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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

Tagged Divisions

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

Tagged Divisions

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

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

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Computers in Education Division (COED)

clusters; elements with evidence are highlighted in green.Literature Review 1 – Data Science for PreschoolersThe search using IEEE Xplore revealed 86 results, and the ScienceDirect search yielded 65results, with all excluded expected one, which indicated the need for further investigation. Thepaper “Data Science K-10 Big Ideas” provided a comprehensive overview of the fundamentalskills students should learn to become proficient in data science [10]. The paper also outlinedfour key concepts that should be taught in data science curriculum for kindergarten through10th grade, including topics such as data collection and representation, data analysis andinterpretation, and ethical considerations in the use of data. The included paper was developedby

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

Tagged Divisions

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

COED: Online and Remote Learning

Collection

2023 ASEE Annual Conference & Exposition

Authors

Carolyn Kusbit Dunn, East Carolina University; David L. Batts, East Carolina University

Tagged Divisions

Computers in Education Division (COED)

Paper ID #37922Pandemic or Profession? Factors Motivating Students to Pursue an OnlineBachelor’s DegreeDr. Carolyn Kusbit Dunn, East Carolina University Carolyn Kusbit Dunn is an Assistant Professor in the Department of Technology Systems at East Carolina University. Dr. Dunn teaches Technical Writing and Technical Presentations, and centers her research on the pedagogy of technical writing, crisis and risk communication, and the the ethics of crisis and risk communication.Dr. David L. Batts, East Carolina University David Batts, Ed.D., is an assistant professor in the Department of Technology Systems at East Carolina

Conference Session

COED Programming Education 2: Instructional Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Richard Whalen, Northeastern University; Joshua L. Hertz, Northeastern University

Tagged Divisions

Computers in Education Division (COED)

acceptable. Specifically, the emphasis is that Cornerstone is a lens by whichengineering learning can come together to develop practical applications to solving problems.The Cornerstone 1 course focuses on learning the principles of engineering and design; this isaccomplished through active learning in areas such as problem definition, conceptual design,preliminary and detailed design, design communication and implementation, engineering ethics,along with report writing and presentations in relation to projects that students produce in teams.There is a strong emphasis on applying technical knowledge, developing problem-solving anddecision-making skills, and using computer-aided design (CAD) to communicate graphically.Within this course, algorithmic

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

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Vijesh J. Bhute, Imperial College London; Ellen Player; Deesha Chadha, Imperial College London

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

received from the Education Ethics Review Process Team prior toconducting this study.Questionnaire 1 was distributed to teaching staff via Teaching and Learning Network on MSTeams. 34 teachers participated in this questionnaire from different departments across theCollege. Questionnaire 2 was distributed to second-, third- and fourth-year undergraduatestudents from the Department of Chemical Engineering who have experience with universitylearning. 55 students (~14.4%) participated in this questionnaire across these three yeargroups. Both questionnaires 1 and 2 were launched at the beginning of the academic year.Questionnaire 3 was distributed to second year undergraduate students in the Department ofChemical Engineering at the end of teaching

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)

, capability, and ethical ramifications of a computing device to “think” and“create art” have long been debated by computer scientists, many pioneers in the field will arguethat the process of designing a computer program is similar to composing music or poetry.Donald Knuth begins his magnum opus The Art of Computer Programming with the argumentthat a computer scientist who understands computer programming at several levels of abstractionwill find the process aesthetically pleasing3 “much like composing poetry or music.”3 ProfessorKnuth had three crucial characteristics in common with Ada Lovelace: a strong understanding ofmathematics, a passion for music, and an understanding of the connection between the two.In fact, universities have long observed

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

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

Tagged Divisions

Computers in Education Division (COED)

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) 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

Tagged Divisions

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