Conference Session

AI and Tools for Transdisciplinary Work

Collection

2024 ASEE Annual Conference & Exposition

Authors

Craig J. Gunn, Michigan State University

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

investigate metaphorical language or uniqueways to describe technical concepts. This can add depth and layers to their poems that they maynot have tried before.This year as a work in progress we decided to try a new path for the students to follow. Theybegan with the instruction to NOT use ChatGPT or any other AI to write their poems. They hadto create what they could and hand it in. The next step was to take that work and put it inChatGPT and create three more versions of their original work. In this paper we explore the useof ChatGPT to not create required work but to show that as a tool ChatGPT opens up the doorsof new forms of creativity, student evaluation of their own work in comparison to the added toolof ChatGPT, and the avenues that a

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mudasser Fraz Wyne, National University; Alireza Farahani; Lu Zhang, National University

Tagged Divisions

Computing and Information Technology Division (CIT)

Paper ID #41786Examining ChatGPT in Educational Settings: Ethics, Challenges, and OpportunitiesDr. Mudasser Fraz Wyne, National University I hold a Ph.D. in Computer Science, an M.Sc. in Engineering, and a B.Sc. in Electrical Engineering. Currently, I am honored to serve as a Professor of Computer Science and as the Chair for the Department of Computer Science and Information Systems at the School of Technology and Engineering, National University, San Diego, USA. Additionally, I am entrusted with the role of Academic Program Director for the MS in Computer Science. Over the years, I have played key leadership roles

Conference Session

Educational Research and Methods Division (ERM) Technical Session 22

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mohammad Faraz Sajawal, University of Oklahoma; Javeed Kittur, University of Oklahoma

Tagged Divisions

Educational Research and Methods Division (ERM)

Paper ID #43991Examining Students’ Beliefs on the Use of ChatGPT in EngineeringMohammad Faraz Sajawal, University of OklahomaDr. Javeed Kittur, University of Oklahoma Dr. Kittur is an Assistant Professor in the Gallogly College of Engineering at The University of Oklahoma. He completed his Ph.D. in Engineering Education Systems and Design program from Arizona State University, 2022. He received a bachelor’s degree in Electrical and Electronics Engineering and a Master’s in Power Systems from India in 2011 and 2014, respectively. He has worked with Tata Consultancy Services as an Assistant Systems Engineer from 2011–2012 in

Conference Session

Computing and Information Technology Division (CIT) Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alireza Kavianpour, DeVry University

Tagged Divisions

Computing and Information Technology Division (CIT)

paper discusses how an instructor can enhance teaching an undergraduateprogramming course, specifically C++ programming language, utilizing ArtificialIntelligence (AI) tools, such as ChatGPT.The teaching experience and a collection of data from a C++ programming course,with and without ChatGPT, will be analyzed. Several guidelines to use AI toolsmore efficiently for a programming course will be presented. In this programmingcourse, homework assignments were modified to address the use of ChatGPT.Most undergraduate engineering students must take this programming course withCalculus course as a prerequisite.A neurological study has shown that “curiosity makes people morereceptive for learning, and that as we learn, we enjoy the sensation

Conference Session

DSA Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Duncan Davis, Northeastern University; Nicole Alexandra Batrouny, Northeastern Univeristy; Adetoun Yeaman, Northeastern University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

Paper ID #41739Unfettered ChatGPT Access in First-Year Engineering: Student Usage &PerceptionsDr. Duncan Davis, Northeastern University Duncan Davis is an Associate Teaching Professor in First Year Engineering. His research focuses on using gamification to convey course content in first year classes. He is particularly interested in using the construction of Escape Rooms to teach Engineering Principles.Dr. Nicole Alexandra Batrouny, Northeastern Univeristy Nicole Batrouny is an Assistant Teaching Professor in First Year Engineering at Northeastern University. Her engineering education research interests include the

Conference Session

Educational Research and Methods Division (ERM) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mohammad Faraz Sajawal, University of Oklahoma; Javeed Kittur, University of Oklahoma

Tagged Divisions

Educational Research and Methods Division (ERM)

Education, 2024Factors Influencing Undergraduate Engineering Students’ Perceptions on the Use of ChatGPTAbstractThe language model known as Chat Generative Pre-Trained Transformer (ChatGPT) wasdeveloped by Open Artificial Intelligence engineers. It's a kind of AI system that can produce textresponses to a variety of questions and prompts that seem human. ChatGPT provides a number ofbenefits, such as round-the-clock assistance, prompt question answering, research-relatedinformation discovery, coding program writing, etc. Notwithstanding these benefits, ChatGPT'slimited contextual knowledge of a given subject may result in inaccurate or irrelevant responses.Additionally, the feedback may be unfair or erroneous due to bias

Conference Session

MECH - Technical Session 13: Technological Advancements and Applications

Collection

2024 ASEE Annual Conference & Exposition

Authors

Randall D. Manteufel, The University of Texas at San Antonio; Amir Karimi, The University of Texas at San Antonio

Tagged Divisions

Mechanical Engineering Division (MECH)

Paper ID #43596Student Use of ChatGPT to Write an Engineering ReportDr. Randall D. Manteufel, The University of Texas at San Antonio Dr. Randall Manteufel is an Associate Professor of Mechanical Engineering at The University of Texas at San Antonio (UTSA). He has won several teaching awards, including the 2012 University of Texas System Regents Outstanding Teaching Award and the 2013 UTSA President’s Distinguished Achievement Award for Teaching Excellence, the 2010, 2014, 2018 and 2019 College of Engineering Student Council Professor of the Year Award, 2008, 2022, 2024 College Excellence in Teaching, and 2005 Mechanical

Conference Session

Inclusive Dialogues and Adaptations in Engineering Education: Navigating Uncertainty and Leveraging AI for Student Success

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sourojit Ghosh, University of Washington

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

Paper ID #41787ChatGPT as a Tool for Equitable Education in Engineering ClassesSourojit Ghosh, University of Washington ©American Society for Engineering Education, 2024 ChatGPT as a Tool for Equitable Education in Engineering Classes Sourojit Ghosh, University of Washington, SeattleIntroduction 2022 is set to go down in history as the year that the world met ChatGPT – a generativeAI tool designed to accept text-based input and perform a large variety of tasks such asanswering questions, writing text, summarizing content, generating code, and many more.Trained on the large language model GPT-3/3.5 [1

Conference Session

Artificial Intelligence (AI) and Case Studies in Construction Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Daniel Eduardo Abril; Miguel Andres Guerra, Universidad San Francisco de Quito USFQ; Sixto Duran Ballen

Tagged Divisions

Construction Engineering Division (CONST)

Postal 17-1200-841, Quito 170901, Ecuador.* Correspondence: Miguel Andrés Guerra, MAGuerra@usfq.edu.ecAbstractConstruction engineering education is constantly evolving and adapting to emerging technologieslike artificial intelligence (IA). Generative AI applications have become a valuable tool in helpingstudents better understand information. Although generative AI development has been ongoing forseveral decades, its importance in higher education, especially in fields like Civil Engineering andArchitecture, has significantly grown in recent years. This study seeks to explore how generativeAI can be effectively used to enhance the development of critical thinking skills. To achieve this,the AI program ChatGPT was introduced to civil

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)

Paper ID #41009Bark Plug: The ChatGPT of the Bagley College of Engineering at MississippiState UniversityDr. Jason M. Keith, Mississippi State University Jason Keith is the Dean and Earnest W. and Mary Ann Deavenport, Jr. Chair in the Bagley College of Engineering at Mississippi State University, a position he has held since March, 2014. Keith received his B.S. in Chemical Engineering from The University of Akron and his Ph.D. from the University of Notre Dame. Keith is Fellow of ASEE.Amin Amirlatifi, Mississippi State UniversityShahram RahimiSubash Neupane, Mississippi State UniversitySudip Mittal

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)

Paper ID #41661Board 43: AP-CS, ChatGPT and Me: a High School Student PerspectiveDr. Zoe Wood, California Polytechnic State University, San Luis Obispo Whether it is creating computer graphics models of underwater shipwrecks or using art and creativity to help students learn computational thinking, Professor Zoe Wood’s projects unite visual arts, mathematics and computer science.Miguel Manoah Refugio Greenberg ©American Society for Engineering Education, 2024 AP-CS, ChatGPT and Me: a high school student perspectiveAbstractWith the creation of openAI’s ChatGPT system, a problem has arisen in

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)

Paper ID #43499Board 48: Perceptions of ChatGPT on Engineering Education: A 2022-2023Exploratory Literature ReviewTrini Balart, Texas A&M University Trinidad Balart is a PhD student at Texas A&M University. She completed her Bachelors of Science in Computer Science engineering from Pontifical Catholic University of Chile. She is currently pursuing her PhD in Multidisciplinary Engineering with a focus in engineering education and the impact of AI on education. Her main research interests include Improving engineering students’ learning, innovative ways of teaching and learning, and how artificial intelligence can

Conference Session

Educational Research and Methods Division (ERM) Technical Session 22

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mohammad Faraz Sajawal, University of Oklahoma; Javeed Kittur, University of Oklahoma

Tagged Divisions

Educational Research and Methods Division (ERM)

. ©American Society for Engineering Education, 2024 Design and Development of Survey Instrument to Measure Engineering Students’ Perspectives on the Use of ChatGPTAbstractChat Generative Pre-Trained Transformer (ChatGPT) is a language model created by engineersworking in Open Artificial Intelligence. It is a type of artificial intelligence system that generateshuman-like text responses to a wide range of prompts and questions. ChatGPT offers severaladvantages including 24/7 support, quick response to questions, finding research-relatedinformation, writing a coding program, etc. Despite these advantages, ChatGPT has limitedcontextual understanding of a certain topic, which can lead to incorrect/irrelevant responses. It canalso be

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)

Paper ID #44437Integrating ChatGPT in an Introductory Engineering Undergraduate Courseas a Tool for FeedbackDr. Anthony Cortez, Point Loma Nazarene University Dr. Cortez is currently an Assistant Professor in the department of Physics and Engineering at Point Loma Nazarene University. He received his BS in Physics from University of California San Diego (UCSD). He went on to complete his MS and Ph.D. in Mechanical Engineering from University of California Riverside (UCR). His research interests include technology as a tool in the classroom, high temperature superconductivity, superconducting detectors, nanofabrication, and

Conference Session

Construction Engineering Division (CONST) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tianjiao Zhao, East Carolina University; George C. Wang P.E., East Carolina University; Ron Chance, East Carolina University; Chelsea Rebecca Buckhalter, East Carolina University

Tagged Divisions

Construction Engineering Division (CONST)

Paper ID #41426Board 66: Impact of ChatGPT on Student Writing in Construction Management:A Study of Applied RisksDr. Tianjiao Zhao, East Carolina University Tianjiao Zhao joined the Department of Construction Management at East Carolina University as an assistant professor in Fall 2022. With a robust background in BIM, green building, Lean Six Sigma, semantic web technologies, intelligent transportation, Internet of Things, and water engineering, she brings extensive expertise to her role. Maintaining an active research agenda, her work primarily revolves around enhancing the efficiency, safety, and eco-friendliness of the

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Han Kyul Kim, University of Southern California; Aleyeh Roknaldin, University of Southern California; Shriniwas Prakash Nayak, University of Southern California; Xiaoci Zhang, University of Southern California; Muyao Yang, University of Southern California; Marlon Twyman, University of Southern California; Angel Hsing-Chi Hwang, Cornell University; Stephen Lu, University of Southern California

Tagged Divisions

Computers in Education Division (COED)

Manufacturing Engineering at University of Southern California. His current professional interests include design thinking, collaborative engineering, technological innovation, and education reform. He has over 330 ©American Society for Engineering Education, 2024 ChatGPT and Me: Collaborative Creativity in a Group Brainstorming with Generative AIIntroductionThe emergence of generative AI (genAI), exemplified by ChatGPT, offers unprecedentedopportunities to the education system. However, as this technological advancement gainsmomentum, concerns surrounding hallucination [1, 2] and academic integrity [3, 4] have beenraised, casting doubt on its applicability in educational

Conference Session

Understanding the Student Experience in Mechanics Courses

Collection

2024 ASEE Annual Conference & Exposition

Authors

Milad Rezvani Rad, University of Southern Indiana; Julian Ly Davis, University of Southern Indiana

Tagged Divisions

Mechanics Division (MECHS)

regard, several engineering examples were explored for analyzing theaccuracy of quantitative results obtained from ChatGPT. In-class surveys were also conducted toassess the enthusiasm of students and enhanced interactivity of implementing ChatGPT-powerededucational platform in solving engineering problems. We discovered that students can noticeablybenefit from the key beneficial features offered by artificial intelligence including, but not limitedto, real-time assistance, personalized feedback, and dynamic content generation. Survey resultshighlight the positive impact of implementation of ChatGPT on engineering students' scholarlyperformance and their broader learning experience. Despite all the undeniable advantages AIoffers, it is essential

Conference Session

First-Year Programs Division Technical Session 2: AI, Computation, and Electronics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gibrán Sayeg-Sánchez, Tecnologico de Monterrey ; Miguel X. Rodriguez-Paz, Tecnologico de Monterrey

Tagged Divisions

First-Year Programs Division (FYP)

Paper ID #44045Use of Game-Based Learning with ChatGPT to Improve Mathematical ModelingCompetences in First-Year Engineering StudentsDr. Gibr´an Sayeg-S´anchez, Tecnologico de Monterrey Dr. Gibr´an Sayeg-S´anchez is professor – consultant in the Science Department in Tecnologico de Monterrey, Puebla campus. He studied a PhD in Financial Science in EGADE Business School (2016), a MSc in Industrial Engineering in Tecnologico de Monterrey (2011), and a BEng in Industrial and Systems Engineering in Tecnologico de Monterrey (2006). Dr. Sayeg-S´anchez has more than 11 years of experience in teaching statistics, mathematics, and

Conference Session

Educational Research and Methods Division (ERM) Technical Session 19

Collection

2024 ASEE Annual Conference & Exposition

Authors

Trini Balart, Pontificia Universidad Católica de Chile; Jorge Baier, Pontificia Universidad Católica de Chile; Martín Eduardo Castillo, Pontificia Universidad Católica de Chile

Tagged Divisions

Educational Research and Methods Division (ERM)

Paper ID #43635WIP: Traditional Engineering Assessments Challenged by ChatGPT: An Evaluationof its Performance on a Fundamental Competencies ExamTrini Balart, Pontificia Universidad Cat´olica de Chile Trinidad Balart is a PhD student at Texas A&M University. She completed her Bachelors of Science in Computer Science engineering from Pontifical Catholic University of Chile. She is currently pursuing her PhD in Multidisciplinary Engineering with a focus in engineering education and the impact of AI on education. Her main research interests include Improving engineering students’ learning, innovative ways of

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Campbell R. Bego, University of Louisville; Tessa Withorn, University of Louisville; Judith Danovitch, University of Louisville; Angela Thompson P.E., University of Louisville; Elisabeth Thomas, University of Louisville; Gabriel Ethan Gatsos, University of Louisville; Alvin Tran, University of Louisville

Tagged Divisions

Educational Research and Methods Division (ERM)

of Engineering Fundamentals at the University of Louisville. Dr. Thompson received her PhD in Mechanical Engineering from the University of Louisville. Her research interests are in biomechanics and engineering education, particularly related to first-year students.Elisabeth Thomas, University of LouisvilleGabriel Ethan Gatsos, University of LouisvilleAlvin Tran, University of Louisville ©American Society for Engineering Education, 2024 Working towards GenAI literacy: Assessing first-year engineering students’ attitudes towards, trust in, and ethical opinions of ChatGPT AbstractGenerative artificial intelligence (GenAI) can be used by engineering

Conference Session

Engineering Libraries Division (ELD) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Matthew Frenkel, New York University; Hebah Emara, New York University ; Amanda He, New York University ; Lindsay Anderberg, New York University ; Samuel R. Putnam, New York University

Tagged Divisions

Engineering Libraries Division (ELD)

how capable such tools arewithin certain disciplines. This work in progress aims to shift from evaluating generative AItools’ capabilities to exploring how such tools impact the information-seeking behaviors of theirusers. The paper focuses on the impact of OpenAI’s ChatGPT on the information-seekingbehavior of engineering students. The paper presents data from a survey of engineering students.In addition, the paper provides the methodology and preliminary data from a structured interviewwhere participants will use ChatGPT to address a multifaceted problem concerning the GrandChallenges for Engineering.IntroductionNear the end of 2022, OpenAI released ChatGPT, a generative artificial intelligence (AI) tool.ChatGPT is a large language model

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)

concepts, curricular complexity, and advancing quantitative and fully integrated mixed methods.Aarohi Shah, University of Cincinnati ©American Society for Engineering Education, 2024 WIP: A Systematic Review of Embedding Large Language Models in Engineering and Computing Education AbstractThis work-in-progress paper explores how students and faculty are employing large languagemodels (LLMs) like ChatGPT in engineering and computing education contexts through asystematic literature review (SLR) with Arxiv. We screened 717 preprint abstracts of emergingliterature related to LLMs, ultimately analyzing 63 papers. We extracted the educationalapplications

Conference Session

MECH - Technical Session 13: Technological Advancements and Applications

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bingling Huang, California State University, Fullerton; Chan Lu, University of Georgia

Tagged Divisions

Mechanical Engineering Division (MECH)

, Fullerton Fullerton, California bihuang@fullerton.edu Chan Lu* Department of Lifelong Education, Administration & Policy University of Georgia Athens, Georgia cl25054@uga.edu AbstractThis paper evaluates the mechanical engineering reasoning capabilities of ChatGPT-4, anadvanced Large Language Model (LLM), with the aim of enhancing mechanical engineeringeducation. Mechanical engineering education extends

Conference Session

Innovative Pedagogical Strategies I

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hugh Jack P. Eng., Western Carolina University; Yanjun Yan, Western Carolina University

Tagged Divisions

Engineering Technology Division (ETD)

processing. ©American Society for Engineering Education, 2024 The Use of Chatbots in Engineering Including Critical Thinking and Problem DefinitionAbstractRecent developments in machine learning have impacted the professional and educationalworlds. Most notably, chatbots like ChatGPT have made it possible to produce answers tocomplex questions and perform a limited set of professional tasks. While these tools are far fromperfect, they can act as semi-competent assistants for engineers. We should expect these resultsto improve over time and allow engineers to produce more advanced work in a shorter time.However, this calls for an effective approach to work with AI while cultivating the

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)

Information Technology and Professor of Engineering Education at Purdue University. ©American Society for Engineering Education, 2024 A Department’s Syllabi Review for LLM Considerations Prior to University-standard GuidanceAbstractThe release and widespread use of generative artificial intelligence causes concern for the futureof teaching and learning. Since the release of ChatGPT, some institutions released guidance onits use in education, while other institutions waited for the technology to mature. This study iscontextually situated during the Fall 2023 semester at a single university; Unique because theuniversity had not published LLM guidance yet, but the technology had been out long

Conference Session

Educational Research and Methods Division (ERM) Technical Session 22

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiaorong Zhang, San Francisco State University; Stephanie Claussen, San Francisco State University; Fatemeh Khalkhal, San Francisco State University; Yiyi Wang, San Francisco State University

Tagged Divisions

Educational Research and Methods Division (ERM)

Engineers (SWE) at SFSU. ©American Society for Engineering Education, 2024 Evaluating ChatGPT's Efficacy in Qualitative Analysis of Engineering Education ResearchAbstractThis study explores the potential of ChatGPT, a leading-edge language model-based chatbot, incrafting analytic research memos (ARMs) from student interview transcripts for use inqualitative data analysis. With a rising interest in harnessing artificial intelligence (AI) forqualitative research, our study aims to explore ChatGPT's capability to streamline and enhancethis process.The research is part of a mixed-methods project examining the relationships between engineeringstudents' team experiences, team disagreements, and

Conference Session

Design in Engineering Education Division (DEED) - Use of Technology in Design Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Can Uysalel, University of California, San Diego ; Zachary Fox, University of California, San Diego; Maziar Ghazinejad, University of California, San Diego

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

at the forefront of STEM education experiencing the first tides of thischange. An example of such a trend is the course Design of Machine Elements, a mainstay ofMechanical and Aerospace Engineering (MAE) curricula, which embodies many algorithms thatintegrate a combination of scientific topics and industry protocols. In this work in progress, weassigned a class of 62 MAE machine design students to write computer codes that implementseveral required inputs to generate design parameters for shafts used for specific powertransmission parameters. The students were also asked to explore the applicability of an openartificial intelligence interface, such as ChatGPT, to help develop a multi-step design code. Aftergenerating and verifying the AI

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Susan J Ely, University of Southern Indiana; Milad Rezvani Rad, University of Southern Indiana

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

of these areas is use of ChatGPT for technical writing. It isgenerally believed that reviewing and editing articles to make sure that they are accurate and freefrom errors are among the laborious and time-consuming tasks in academia. However, this task,among many others, can be performed by using AI thanks to some promising features it offerssuch as error detection, improving text coherence, and trend identification [1]. It can also be usedfor summarization and data analysis as well, which are amazing tools for conducting academicresearch. Although using ChatGPT can facilitate the essay writing process, there is an increasingconcern about the ethical considerations and the significance of balancing AI assistance withstudents’ involvement

Conference Session

Civil Engineering Division (CIVIL) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sixto Duran Ballen; Daniel Eduardo Abril; Miguel Andres Guerra, Universidad San Francisco de Quito USFQ

Tagged Divisions

Civil Engineering Division (CIVIL)

offersa promising avenue to enhance classroom instruction and practical learning experiences. Soartificial intelligence tools can contextualize students. Artificial intelligence (AI) as a field hasbeen developing over the course of these last decades, but in the past few years has taken moreimportance in the field of higher education, specifically in careers such as Civil Engineering.As a result, the purpose of this study is to explore the development of critical thinking in WaterResources students by using artificial intelligence programs. Platforms such as ChatGPT canassist students in interpreting given information, such as waterway sizing, water supply andenvironmental laws to facilitate the learning process. Civil engineering students from

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lawrence E. Whitman, University of Arkansas at Little Rock; Kristin Dutcher Mann, University of Arkansas at Little Rock; Amar Shireesh Kanekar, University of Arkansas at Little Rock; Albert L Baker, University of Arkansas at Little Rock; Srikanth B Pidugu P.E., University of Arkansas at Little Rock

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

specialist in the colonial history of the U.S.-Mexico Borderlands, she has authored a book and articles about music, dance, and material culture. She often works with K-12 and college faculty to incorporate reading, writing, and primary source document analysis into instruction. Her latest research is part of an interdisciplinary project to examine student perceptions of the use of large language models such as ChatGPT and Microsoft CoPilot in academic work.Dr. Amar Shireesh Kanekar, University of Arkansas at Little Rock Dr. Kanekar is a Professor and Graduate Program Coordinator for Health Education and Health Promotion at the University of Arkansas at Little Rock. His 17 years of teaching experience involves more than