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Conference Session
Computing and Information Technology Division (CIT) Technical Session 2
Collection
2025 ASEE Annual Conference & Exposition
Authors
Prarthona Paul, University of Toronto; Chirag Variawa, University of Toronto
Tagged Divisions
Computing and Information Technology Division (CIT)
literature review encompasses academic databases, focusing on search terms such as“GenAI,” “ChatGPT,” and “Generative AI in engineering education.” Relevant papers areanalyzed to identify common themes, which are then synthesized to provide a thematic overviewof GenAI's role in engineering education. Initial findings suggest themes around ethicalconsiderations, pedagogical shifts, and the potential of GenAI to enhance student learning.Ethical concerns, such as algorithmic bias, privacy, and academic integrity, are highlighted,alongside the need for continuous upskilling of both students and educators.This study aims to offer a comprehensive understanding of GenAI's implications in engineeringeducation, serving as a valuable resource for educators
Conference Session
Computing and Information Technology Division (CIT) Technical Session 8
Collection
2025 ASEE Annual Conference & Exposition
Authors
Danushka Bandara, Fairfield University; Djedjiga Belfadel, Fairfield University
Tagged Divisions
Computing and Information Technology Division (CIT)
education evolves to meet the needs of an increasingly technology-drivenworld, these conventional approaches face growing challenges.Simultaneously, the advent of generative artificial intelligence (GenAI) tools, such as ChatGPT, Claude,and Gemini, has brought transformative changes to the educational landscape. When ChatGPT was firstintroduced in 2023, it affected a fundamental shift in the role of the educator. These tools providestudents with powerful capabilities, including generating content, simplifying complex concepts, andautomating problem-solving processes. While GenAI tools have immense potential to enhance learningand teaching experiences, they also pose significant challenges, particularly in the context ofassessments (Swiecki,et al
Conference Session
Computing and Information Technology Division (CIT) Technical Session 1
Collection
2025 ASEE Annual Conference & Exposition
Authors
Alireza Kavianpour, DeVry University, Ontario,CA
Tagged Divisions
Computing and Information Technology Division (CIT)
Engineering Education (ASEE), Portland, OR, USA, 2024.[2]- Cherniak, E., et al. “Artificial intelligence programming”. Psychology Press, 2014.[3]- Winston, H. Artificial intelligence, 3rd ed. Addison-Wesley Longman Publishing Co.,Inc.1984.[4]- Phillips, T., et al. “Exploring the use of GPT-3 as a tool for evaluating text-basedcollaborative discourse”, Companion Proceedings 12th intl. Conf. on learning Analytics &Knowledge, 2022.[5]- Modern Mind Publications, Generative AI for Beginners Made Easy: Master ArtificialIntelligence and Machine Learning Fundamentals, Learn Creative AI, and Enhance Your SkillsISBN-13: 979-8320061238, Modern Mind Publication, 2024.[6]- Felix, V. ChatGPT for Beginners: Prompt Engineering Made Easy, 2024.[7]- Robert, C
Conference Session
Computing and Information Technology Division (CIT) Technical Session 4
Collection
2025 ASEE Annual Conference & Exposition
Authors
Jason M. Keith, Iowa State University of Science and Technology; Amin Amirlatifi, Mississippi State University; Sudip Mittal, Mississippi State University; Subash Neupane, Mississippi State University; HIMANSHU TRIPATHI, Mississippi State University
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology Division (CIT)
Education, 2025 Barkplug 2.0 and Beyond: a Chatbot for Assisting Students in High DFW CoursesAbstractHigher education continues to respond to the challenges and opportunities presented by artificialintelligence (AI) and large language models (LLM) such as ChatGPT. In our prior work weintroduced a chatbot that used AI and LLM to recruit prospective students, assist current studentswith academic advising (course selection, changing majors) and student affairs (directingstudents to university resources regarding the campus community, housing and dining, studentorganizations, mental health and more). Towards the promotion of student success initiatives wereport in this work our formulation of course specific teaching
Conference Session
Computing and Information Technology Division (CIT) Technical Session 7
Collection
2025 ASEE Annual Conference & Exposition
Authors
Ismael Villegas Molina, University of California, San Diego; Audria Nikitza Montalvo, University of California, San Diego; Benjamin Ochoa, University of California, San Diego; Paul Denny, University of Auckland; Leonard Porter, University of California, San Diego
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology Division (CIT)
Corrected Question P-Value Mean Mean P-Value I use CodeHelp because the professor told us we could use it in the class. 3.80 3.72 0.6615 1.0000 I prefer CodeHelp to ChatGPT because it does not give me the answer directly. 3.56 3.79 0.2056 0.9937 I believe that CodeHelp gives me just enough information to continue my work without
Conference Session
Computing and Information Technology Division (CIT) Technical Session 3
Collection
2025 ASEE Annual Conference & Exposition
Authors
Roberto Patricio Carú, Universidad Andres Bello; Juan Felipe Calderón, Universidad Andres Bello, Viña del Mar, Chile
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology Division (CIT)
parameters.Appendix 4 details the performance of the Gemini, ChatGPT, and Perplexity AI tools in thesetasks, providing practical examples of their capabilities. Through a mixed-methodology approachthat includes a literature review, case studies, and practical experimentation, this researchexplores how AI can optimize these areas and develops a theoretical and practical frameworkthat guides its effective and ethical implementation.Research ObjectivesThe primary purpose of this study is to explore and assess the impact of Artificial Intelligence(AI) on the management and operation of Information Systems (IS) within educational andbusiness environments. Specifically, the research aims to:1. Evaluate how AI can improve operational efficiency in information
Conference Session
Computing and Information Technology Division (CIT) Technical Session 10
Collection
2025 ASEE Annual Conference & Exposition
Authors
Donggil Song, Texas A&M University; ANNE LIPPERT, Prairie View A&M University
Tagged Divisions
Computing and Information Technology Division (CIT)
. Wade, “Using writing to develop and assess critical thinking,” Teaching of psychology, vol. 22, no. 1, pp. 24-28, 1995.[3] A. Leahy, M. Cantrell, and M. Swander, “Theories of creativity and creative writing pedagogy,” The handbook of creative writing, pp. 11-23, 2014.[4] L. Van Ockenburg, D. van Weijen, and G. Rijlaarsdam, “Learning to write synthesis texts: A review of intervention studies,” Journal of Writing Research, vol. 10, no. 3, pp. 401-428, 2019.[5] C. G. Berdanier, and M. Alley, “We still need to teach engineers to write in the era of ChatGPT,” Journal of Engineering Education, vol. 112, no. 3, pp. 583-586, 2023.[6] V. A. Burrows, B. McNeill, N. F. Hubele, and L. Bellamy, “Statistical evidence for
Conference Session
Computing and Information Technology Division (CIT) Technical Session 3
Collection
2025 ASEE Annual Conference & Exposition
Authors
Kwansun Cho, University of Florida; Umer Farooq, Texas A&M University; Minje Bang, Texas A&M University; Saira Anwar, Texas A&M University
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology Division (CIT)
examples forclarity and engagement in conceptually hard courses such as programming. Also, similar to priorliterature [33], this study highlights that student satisfaction is coupled with clarity andengagement with the material. AI-based Large Language Models such as ChatGPT can enhancestudents’ engagement with pre-class materials by providing interactive explanations,personalized feedback, and intelligent tutoring support tailored to individual learning needs [35].The study's results must be viewed in the light of some limitations and future directions. First,the study was based on self-reported student perceptions of two types of videos. Future studiescould consider other measures, such as time spent on each video and a performance measureafter
Conference Session
Computing and Information Technology Division (CIT) Technical Session 8
Collection
2025 ASEE Annual Conference & Exposition
Authors
Juan Felipe Calderón, Universidad Andres Bello, Viña del Mar, Chile; Marco Aguilera; Martin Ignacio Gil; Maria Elena Truyol, Universidad Andres Bello, Santiago, Chile; Danilo Leal, Universidad Andres Bello; Claudia Bascur, Universidad Andres Bello, Santiago, Chile
Tagged Divisions
Computing and Information Technology Division (CIT)
like programming, where innovative methodologieshave outperformed traditional teaching methods [1], [2]. Adaptive learning technologies arecrucial for customizing educational experiences to meet diverse student needs, promotingflexibility and adaptability within VLEs. Implementing LLMs can enhance this adaptive learningby providing real-time feedback and support, fostering a more engaging educationalenvironment. Studies have shown that generative artificial intelligence tools, such as ChatGPT,can motivate students, increase participation, and offer individualized assistance, therebyimproving learning experiences[3], [4]. However, there are notable gaps in the practicalapplication of LLMs within VLEs, as many institutions struggle to integrate
Conference Session
Computing and Information Technology Division (CIT) Technical Session 10
Collection
2025 ASEE Annual Conference & Exposition
Authors
Nikunja Swain, South Carolina State University; Biswajit Biswal, South Carolina State University; Janmejay Mohanty, South Carolina State University
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology Division (CIT)
prompts in LLMs (ChatGPT, Bard and Hugging Face)These modules include lecture notes, practice problems, and quizzes. The learners can completethese modules at their own pace. The course instructor acts as the facilitator and provides help asneeded.The modules can be accessed at https://skills.yourlearning.ibm.com/. Students need to createaccounts to log in and sign up a module to see the module content. The login screen is shown inFigure 2: Figure 2 – Log in options Analysis of Course Survey Results Student Surveys A. Cybersecurity (Fall 2024, Sample Size N = 88)The Cybersecurity module was infused to six sections of CS 150 course during
Conference Session
Computing and Information Technology Division (CIT) Technical Session 7
Collection
2025 ASEE Annual Conference & Exposition
Authors
Udayan Das, Saint Mary's College of California
Tagged Divisions
Computing and Information Technology Division (CIT)
option Historically, across institutions, the implementation option is selected by 15-20% of students. Typically, 5-6 studentsout of 30. This time 16 students out of 35 opted for and completed an implementation. I believe this is indicative ofgreater confidence in being able to accomplish the final project.E. Other notes This is also a course in which I used GPT tools at different points, the results of which I present elsewhere. However,one of the amusing elements of this course was spending a fair amount of time including in-class thought exercisesdeveloping pivot strategies for a dependable O(n log n) QuickSort, only to then ask ChatGPT and Perplexity to generateQuickSort code which was exactly identical, to variable names, that was
Conference Session
Computing and Information Technology Division (CIT) Technical Session 7
Collection
2025 ASEE Annual Conference & Exposition
Authors
Yu-Zheng Lin, The University of Arizona; Karan Patel, The University of Arizona; Ahmed H Alhamadah, The University of Arizona; Sujan Ghimire, The University of Arizona; Jesus Pacheco; Banafsheh Saber Latibari, The University of Arizona; Soheil Salehi, The University of Arizona; Pratik Satam, University of Arizona
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology Division (CIT)
revolution workforce needs,” in 2023 IEEE Integrated STEM Education Conference (ISEC). IEEE, 2023, pp. 271–276.[27] J. White, Q. Fu, S. Hays, M. Sandborn, C. Olea, H. Gilbert, A. Elnashar, J. Spencer-Smith, and D. C. Schmidt, “A prompt pattern catalog to enhance prompt engineering with chatgpt,” arXiv preprint arXiv:2302.11382, 2023.[28] P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. K¨uttler, M. Lewis, W.-t. Yih, T. Rockt¨aschel et al., “Retrieval-augmented generation for knowledge-intensive nlp tasks,” Advances in Neural Information Processing Systems, vol. 33, pp. 9459–9474, 2020.[29] L. Shani, A. Rosenberg, A. Cassel, O. Lang, D. Calandriello, A. Zipori, H. Noga, O. Keller, B. Piot, I. Szpektor et
Conference Session
Computing and Information Technology Division (CIT) Technical Session 1
Collection
2025 ASEE Annual Conference & Exposition
Authors
Mudasser Fraz Wyne, National University; Alireza Farahani, National University; Lu Zhang, National University
Tagged Divisions
Computing and Information Technology Division (CIT)
Conference Session
Computing and Information Technology Division (CIT) Technical Session 5
Collection
2025 ASEE Annual Conference & Exposition
Authors
James Weichert, Virginia Polytechnic Institute and State University; Hoda Eldardiry, Virginia Polytechnic Institute and State University
Tagged Divisions
Computing and Information Technology Division (CIT)
false information (“hallucination”) is usedto explore the principle of trustworthiness. First, a political campaign advertisement featuring avideo deepfake of former Pakistani prime minister Imran Khan—produced while Khan was injail—provides a counterexample to the notion that synthetic AI content is necessarily bad [23].Then, students are encouraged to try to ‘hack’ OpenAI’s large language model ChatGPT so that ithallucinates, malfunctions, or gives an inappropriate response.The first lecture concludes by asking students to subjectively rank the three highlightedprinciples—plus three others (transparency, justice and autonomy) which together summarizeFloridi and Cowl’s “Unified Framework for AI in Society” [24]—in terms of their