Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amy N Adkins, North Carolina State University; Naji S Husseini, North Carolina State University; Lianne Cartee, North Carolina State University

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering Division (BED)

Department of Biomedical Engineering at the Univ. of North Carolina at Chapel Hill and North Carolina State University. ©American Society for Engineering Education, 2024 Work in Progress: Understanding Student Perceptions and Use of Generative Artificial Intelligence for Technical WritingOpen generative artificial intelligence’s (AI’s) ability to craft human-like text concerns educatorswho fear students will complete assignments without meeting course objectives. Currently, AIdetection is unreliable, adding to educators’ concerns. While these fears are valid, we believe thebest way forward is to teach students how to use this powerful technology ethically andeffectively. Best practices for using AI

Conference Session

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Erin Bosarge, University of South Alabama

Tagged Topics

Diversity

Tagged Divisions

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE)

employed the Elo and Kyngäs inductive analysis approach, extracting data for publicationyear, study objectives, number of citations, authors’ related publications, stakeholders addressed,stakeholder perceptions, AI4K12 content coverage, and ethical considerations. We analyzed eachtopic, finding commonality and uniqueness among the articles. By analyzing the objectives, wefound these articles highlighted four primary themes: curriculum and program development,teaching and learning methods, student engagement and perceptions, and inclusion and diversityin education. We also found that there was a significant increase in publications of this sortpublished in 2022, with a decrease in publications in 2023.Using our other extracted data, we were able to

Conference Session

Curricular Innovations for Future-Ready Engineering Talents

Collection

2024 ASEE Annual Conference & Exposition

Authors

Shiny Abraham, Seattle University; Mehmet Vurkac, Seattle University; Agnieszka Miguel, Seattle University; Margarita D. Takach, Seattle University; Eddy Ferré, Seattle University; Shruti Singh, Seattle University; Henry Louie, Seattle University

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

curriculawill include • Themes such as sustainability and climate change, racial and economic justice, technology and its impacts on society, community engagement and experiential learning, and universal design. • Elements of professional formation such as ethical and cultural awareness, emotional intelligence, leadership and communication, and continual learning, among many others.The authors envision that this paper will be the first in a series of papers that document theprocess of integrating professional formation and the university’s mission into the ECEcurriculum at Seattle University. This paper will focus on reimagining the curriculum, whilefuture papers will focus on revising, implementing, and evaluating the

Conference Session

Assessment and Curriculum Development

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kais Abdulmawjood, Texas A&M University at Qatar; Muhammad S. Zilany, Texas A&M University at Qatar; Muna Sheet, Lusail University

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

intricacies and depthof a student's development and progress. In contrast, capstone project data provides richqualitative, multidisciplinary, and context-driven information. However, they are morechallenging to quantify and assess, requiring a detailed rubric that aligns with the capstoneprojects’ objectives.Introduction:The mission of the Electrical and Computer Engineering (ECEN) Program is to equip studentswith a robust foundation in engineering fundamentals, instill the highest standards of professionaland ethical behavior, and prepare them to meet the complex technical challenges of society. Theprogram’s educational objectives (PEO) [1] are directly related to the student outcomes (SO),which describe skills, knowledge, and behavior that our

Conference Session

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Zhou Zhang, SUNY Farmingdale State College; Yizhe Chang, California State Polytechnic University, Pomona

Tagged Topics

Professional Papers

achieved significant improvements in project quality,depth, and originality. However, the paper also highlights ethical concerns, particularly regardingplagiarism, algorithmic bias, and data privacy. Through a comprehensive analysis, the study un-derscores the transformative potential of Generative AI while advocating for ethical guidelines toensure responsible usage in engineering education. Future work will focus on developing robustplagiarism detection tools and refining the ethical frameworks for AI integration in educationalsettings.Keywords: Generative AI, Engineering Education, Project-based Learning, Ethical Considera-tions1. Introduction1.1 Transformative potential of Generative AI in various sectorsGenerative Artificial Intelligence (AI

Conference Session

Civil Engineering Division (CIVIL) Technical Session - Instructional Technology 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mary Kay Camarillo P.E., University of the Pacific; Luke S. Lee P.E., University of the Pacific; Ciara Swan MFA-W, University of the Pacific

Tagged Divisions

Civil Engineering Division (CIVIL)

engineering ethics curriculum. This study provides valuableinformation on how students view AI and provides a framework for instruction of AI in existingcivil engineering courses. AI holds great promise for civil engineering, but caution is necessarywhen applying this technology so that it is incorporated in a way that preserves the reliability andreputation of the profession.IntroductionThe use of generative artificial intelligence (referred to herein as AI) has become widespread.Although the concept of AI is not new—it has been around since at least the 1950s—AI usagehas increased recently due to advances in computing, algorithm development, and dataavailability. The increased interest in AI is apparent in scientific literature. A search of

Conference Session

Panel: AI and Engineering Technology Education: What, Why, How?

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jody Lee Alberd, Austin Peay State University; Mahesh Kumar Pallikonda, Austin Peay State University; Ravi C. Manimaran, Austin Peay State University

Tagged Divisions

Engineering Technology Division (ETD)

enablingthe development of interactive lab experiences, simulations, and practical exercises to integrateand create a greater understanding of AI capabilities. These innovations create authentic learningenvironments, equipping students with hands-on experience and honing their problem-solvingskills. This study also scrutinizes the ethical implications and challenges tied to theincorporation of Generative AI in education. It emphasizes the need for unbiased AI algorithmsand responsible usage while calling for comprehensive training and support for instructors inharnessing this innovative technology. In conclusion, this study intends to demonstrate that harnessing Generative AI inengineering technology education has the potential to

Collection

2023 PSW

Authors

Tatyana Ryutov

Biomedical Data Privacy Issues and Solutions: An Interdisciplinary Graduate School Course Tatyana Ryutov, University of Southern CaliforniaAbstractThe course was developed for graduate students interested in exploring privacy concerns in healthcare, the currentlaw and governing regulations, and learning and applying the existing and emerging technologies to address theseconcerns. Biomedical data privacy is an interdisciplinary problem, and this course touches on issues inbioinformatics, computer science, law and policy, and ethics. This paper describes the design of our biomedicalprivacy course, the learning objectives, teaching materials and methods, the supporting learning

Conference Session

Systems Thinking

Collection

2024 ASEE Annual Conference & Exposition

Authors

Shamsnaz Virani Bhada, Worcester Polytechnic Institute; Sarah E. Stanlick, Worcester Polytechnic Institute

Tagged Topics

Diversity

Tagged Divisions

Systems Engineering Division (SYS)

to consider and design with ethical, equity, andsocial justice implications in mind. Further, there is still a general lack of diversity ofstakeholder parameters in early engineering design classes. Introduction to systems engineeringcourses lack integration of current thinking on community engagement ethics and that absencecan be seen across the systems engineering curriculum, as well. We ask: How do we createlearning opportunities/engineering interventions that are technically sound, and also prioritizecommunity voice, cultural appropriateness, and contextual efficacy? In this paper, we reviewthree methods of stakeholder analysis taught in system engineering courses and identify whereand how one can integrate community voices through a

Conference Session

First-Year Programs Division Technical Session 9: Student Growth & Professionalization

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lawrence R. Chen, McGill University

Tagged Divisions

First-Year Programs Division (FYP)

andtechnical knowledge. For example, student outcomes specified by the Accreditation Board forEngineering and Technology (ABET) and the Canadian Engineering Accreditation Board(CEAB) include the following [4], [5]: generating engineering solutions that meet specified needs and with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors, communicating effectively to different audiences, recognizing ethical and professional responsibilities when faced with engineering situations and resolving any dilemmas while accounting for the impact of solutions in global, economic, environmental, and societal contexts, and functioning effectively in a multi-disciplinary team.A

Conference Session

Track 6: Technical Session 1:Technology Students' Recognition of Algorithmic Data Bias through Role-Play Case Studies

Collection

2024 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Ashish Hingle, George Mason University; Aditya Johri, George Mason University

Tagged Topics

CoNECD Paper Sessions, Diversity

Paper ID #40789Technology Students’ Recognition of Algorithmic Data Bias throughRole-Play Case StudiesMr. Ashish Hingle, George Mason University Ashish Hingle (he/him) is a Ph.D. student in the College of Engineering and Computing at George Ma- son University. His research interests include technology ethics, interactions and networking in online communities, and student efficacy challenges in higher education. He received his bachelor’s degree in Information Systems and master’s degree in Information Assurance (Cybersecurity – Forensics – Audit) from sunny Cal Poly Pomona.Dr. Aditya Johri, George Mason University Aditya

Conference Session

Identity Formation and Engineering Cultures

Collection

2024 ASEE Annual Conference & Exposition

Authors

Madeline Polmear, King's College London

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

Paper ID #41641Engineering Identity Development Among International Students in UK FoundationYearDr. Madeline Polmear, King’s College London Madeline Polmear is a lecturer (assistant professor) in engineering education at King’s College London. Her research interests relate to engineering ethics education and the development of societal responsibility and professional competence through formal and informal learning. Madeline received her Bachelor’s in environmental engineering, Master’s in civil engineering, and PhD in civil engineering at the University of Colorado Boulder, USA. Prior to joining KCL, she was a Marie

Collection

2024 Rocky Mountain Section Conference

Authors

Bobby Hodgkinson

. As weprogress in our work, we are committed to addressing these challenges, ensuring that ourAI-based tools are not only effective but also ethically responsible and transparent in theiroperation.Ongoing developmentsAs part of our desire to refine the use of AI in education, we are actively exploring approaches toboth highlight and counteract the limitations of chatbots. Concurrently, we aim to leverage thestrengths of these AI tools in our pedagogical practices. This summer, we are set to pilot a “Whatcan chatbots do well” theme into our already existing a sophomore dynamics laboratory course.The essence of these lab activities will be to encourage students to interact with chatbots incompleting existing lab assignments. Minimal

Collection

2024 South East Section Meeting

Authors

Bryn Elizabeth Seabrook, University of Virginia

forms of content suchas text, code, images, and more. Unlike traditional AI, generative AI is not limited to predefinedrules and patterns, but rather creates new content based on machine learning algorithms. Whilethere are various examples of generative AI like Bard, DALL-E, Midjourney, and DeepMind,only one example gained popularity seemingly overnight: ChatGPT. OpenAI launched ChatGPTon November 30, 2022. Social media users immediately posted about the uses of the applicationincluding travel planning, writing short stories, and creating code. ChatGPT attracted over onemillion users in the first five days of going public [1]. With the instant popularity also camequestions of ethical use and implementation. Could ChatGPT create job displacement

Conference Session

College Industry Partnerships Division (CIP) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Eileen Fong, Nanyang Technological University; Ibrahim H. Yeter, Nanyang Technological University; Shamita Venkatesh, Nanyang Technological University

Tagged Divisions

College Industry Partnerships Division (CIP)

, students are exposed to othernon-technical aspects of engineering, such as how engineering decisions might be influenced byother factors such as business, ethics, and socioeconomics. A third-year engineering capstonecourse was recently transformed to incorporate real-world problem statements and industrialmentorship. For the 13-week semester, students worked in teams of six or seven people to solvea problem statement that a company had provided. This study explored how students viewedindustrial partnerships in this capstone course. It specifically examined how it influenced theirperception of problem-solving, consideration for ethics, and overall confidence as engineers. Weused the stratified random sampling technique to select 16 participants

Conference Session

First-Year Programs Division WIPS 3: Courses and Curricula

Collection

2024 ASEE Annual Conference & Exposition

Authors

Benjamin J. Laugelli, University of Virginia; Keith Andrew Williams, University of Virginia; Esther Tian, University of Virginia; Julia Lapan, University of Virginia; Shaylin Williams, University of Virginia; Deepyaman Maiti, University of Virginia; Anne Marguerite McAlister, University of Virginia; Benjamin Goldschneider, University of Virginia; Nicole Dufalla, University of Virginia; Anna Leyf Peirce Starling, University of Virginia; William H. Guilford, University of Virginia

Tagged Divisions

First-Year Programs Division (FYP)

Paper ID #43414Work in Progress: A Novel Two-Semester Course Sequence that IntegratesEngineering Design, Sociotechnical Skills, Career Development, and AcademicAdvisingDr. Benjamin J. Laugelli, University of Virginia Dr. Laugelli is an Assistant Professor of Engineering and Society at the University of Virginia. He teaches courses that examine social and ethical aspects of technology and engineering practice.Dr. Keith Andrew Williams, University of Virginia Born in Georgia, USA; moved shortly thereafter to Jordan and then to southern Africa, including Rhodesia (Zimbabwe), Botswana, and South Africa, attending local/native

Conference Session

Flanders' Fellowship: Building STEM Community Impact, Hi-Diddly-Ho!

Collection

2024 ASEE Annual Conference & Exposition

Authors

Senay Purzer, Purdue University; TABE AKO ABANE, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

, multicultural ingenuity, and ethicalintegrity). Further, this framework argues that conscientious negotiation of risks and benefits forthe betterment and transformation of societies is underpinned by four reasoning quadrants(experiential reasoning, trade-offs reasoning, first-principles reasoning, and future reasoning),fluently examined through the core practice of multicultural ingenuity and ethical integrity. Thispaper details the theoretical foundations of the socially transformative framework and providesexamples of its pedagogical translations to guide pedagogy practices.IntroductionEngineering, as commonly understood, is the practical application of scientific and mathematicalprinciples [1], the creation of new products [2], and the procedures

Conference Session

Educational Research and Methods Division (ERM) Technical Session 19

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hudson James Harris, University of Oklahoma; Javeed Kittur, University of Oklahoma

Tagged Divisions

Educational Research and Methods Division (ERM)

technologicaladvancements. Generative AI, with its unparalleled capabilities for creating new content, problem-solving, and driving innovation, offers untapped potential for educational reform. Its applicationin engineering education could fundamentally alter how students engage with complex concepts,fostering environments that are more interactive, personalized, and conducive to deeper learning[8-10].However, the path to integrating generative AI into engineering curricula is fraught withchallenges. Ethical considerations, the quality and bias of AI-generated content, and thepreparedness of both educators and students to engage with this new paradigm are critical issuesthat must be addressed. This study, by focusing on the multifaceted aspects of generative AI’s

Collection

2024 CIEC

Authors

Carmen Cioc; Noela Haughton; Sorin Cioc

surveys, notable changes are observed on improving the students’ communication skills,both spoken (26% increase) and written (21.6% increase), as well as improving collaborationwith peers who possess complementary skill sets (17.7% increase). These exercises not onlyimproved the students’ understanding of the technical content but also fostered the developmentof problem-solving skills, critical thinking, creativity, innovation, ethics, and professionalism.Consequently, this PBL-EML approach enhanced students’ preparedness for the workforce.IntroductionTechnical proficiency has long been the hallmark of achievement in undergraduate engineeringeducation. Engineering faculty and programs dedicate countless hours and other resources toeducate the

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aaron W. Johnson, University of Michigan; Corin L. Bowen, California State University, Los Angeles; Elizabeth Ann Strehl, University of Michigan; Sabrina Olson, University of Michigan; Ricardo Elias, California State University, Los Angeles

Tagged Topics

NSF Grantees Poster Session

Michigan studying Engineering Education Research under doctoral advisor Aaron Johnson. Her research focuses on weaving macro ethics into existing aerospace engineering curricula and institutional support methods for working class engineering students. Elizabeth earned her undergraduate degree from the University of Michigan in 2019 with foci in Biomedical Engineering and Applied Mathematics.Sabrina Olson, University of MichiganRicardo Elias, California State University, Los Angeles ©American Society for Engineering Education, 2024 Developing Critically-Conscious Aerospace Engineers through Macroethics Curricula: Year 1IntroductionAbsent from the undergraduate aerospace

Conference Session

AI and Tools for Transdisciplinary Work

Collection

2024 ASEE Annual Conference & Exposition

Authors

Grant Fore, Indiana University-Purdue University Indianapolis

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

Paper ID #43129Design Iterations as Material Culture Artifacts: A Qualitative Methodologyfor Design Education ResearchDr. Grant Fore, Indiana University-Purdue University Indianapolis Grant A. Fore, Ph.D. is the Assistant Director of Research and Evaluation in the STEM Education Innovation and Research Institute at IUPUI. As a trained anthropologist, he possesses expertise in qualitative methods and ethnographic writing. His primary research interest is in the teaching and learning of ethics in higher education through community-engaged and place-based pedagogies. ©American Society for

Conference Session

Educational Research and Methods Division (ERM) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Djedjiga Belfadel, Fairfield University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

, ensuring a personalized match in research interests.The coordination team's efficacy is evident in the program's 100% placement rate last year,successfully pairing students with appropriate mentors and projects, reflecting a keenunderstanding of both student and faculty needs.A key aspect of the program is its dual focus on hands-on research and educational seminars.Students engage directly in real-world research under expert guidance, applying classroomtheories to practical scenarios, fostering innovation and inquiry. Concurrently, weekly seminarscover essential topics like research ethics, intellectual property rights, IRB and IACUCprotocols, and grant writing skills, and technology transfer.The program’s holistic structure develops not just

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)

collectedin summer and fall 2023, and 323 responses were included in the analysis. Exploratory factoranalysis (EFA) revealed four factors learning tool, trustworthiness, ease of access and concernswith ChatGPT, and the dimension ‘ethical considerations’ was suggested to be removed after theEFA. The Cronbach’s alpha ranged between 0.62 to 0.82 suggesting good internal consistencyreliability between the items.Keywords: ChatGPT, concerns with ChatGPT, ease of access, ethical considerations, learningtool, trustworthinessIntroductionChat Generative Pre-Trained Transformer (ChatGPT) is a language model created by engineersworking in Open Artificial Intelligence (OpenAI). It is a type of artificial intelligence (AI) systemthat generates human-like text

Collection

2024 ASEE-GSW

Authors

Lance Leon Allen White, Texas A&M University; Trini Balart, Texas A&M University; Kristi J. Shryock, Texas A&M University; Karan Watson P.E., Texas A&M University

, Texas A&M University Trini 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 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

Conference Session

Faculty Development Division (FDD) Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Michaela Harper, Utah State University; Cassandra McCall, Utah State University

Tagged Divisions

Faculty Development Division (FDD)

for educators [7]-[10]. Concurrently, academicinstitutions are grappling with ethical implications, such as the lack of equitable access to AI, andacademic integrity issues, such as tensions around cheating, that GAI technologies might bring[11]-[13].This work-in-progress paper provides an initial exploration of engineering faculty perspectiveson students' use of AI assistance in homework completion. The research draws upon role identitytheory [14], [15] and activity theory [16] as guiding frameworks. By doing so, the full researchwill uncover the multi-dimensional views of faculty regarding student use of AI, investigatingthe similarities or differences across engineering disciplines and between proponents andopponents of AI assistance in

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Monica McGill, Institute for Advancing Computing Education; Isabella Gransbury, North Carolina State University; Leigh Ann DeLyser; Jennifer Rosato, University of Minnesota, Twin Cities; Julie M. Smith

Tagged Topics

Diversity, NSF Grantees Poster Session

in ResearcherReflexivity, Adhering to Research Ethics, Framing the Research Problem and Questions,Identifying a Critical Framework, Conducting the Literature Review, Choosing ResearchMethods, Engaging with Participants, Crafting Instrumentation and Collecting Data, Analyzingand Interpreting Data, and Reporting on Research.After analyzing 12 standards bodies from seven countries and several dozen research articles[12–23], the working group created guidelines for each of the major areas. For example, Figure 2shows the resultant critical framework guidelines resulting from the analysis.4 ReflectionThrough our analysis, the working group merged valuable standards offering insights, guidance,and concrete examples for conducting education research

Conference Session

Energy Conversion, Conservation and Nuclear Engineering Division (ECCNE) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aditi Verma, University of Michigan; Katie Snyder, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Conservation and Nuclear Engineering Division (ECCNE), Energy Conversion

establishment of the Global Forum on Nuclear Education, Science, Technology, and Policy. Aditi holds undergraduate and doctoral degrees in Nuclear Science and Engineering from MIT. Her work, authored for academic as well as policymaking audiences, has been published in Nuclear Engineering and Design, Nature, Nuclear Technology, Design Studies, Journal of Mechanical Design, Issues in Science and Technology, Bulletin of the Atomic Scientists, and Inkstick. Aditi enjoys hiking with her dog, reading speculative fiction, and experimenting in the kitchen.Dr. Katie Snyder, University of Michigan Dr. Snyder is a lecturer for the Program in Technical Communication at the University of Michigan. She teaches design, ethics, and

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)

higher self-efficacy in using ChatGPT as a learning tool in comparison with othergender identities. Furthermore, Freshmen engineering students tend to have high perceptions onusing ChatGPT as a learning tool, while junior engineering students have the lowest. Finally,freshmen engineering students tend to have high perceptions on ease of accessing ChatGPT, whilesophomore engineering students have the lowest.Keywords: ChatGPT, concerns with ChatGPT, ethical considerationsIntroductionEngineers working in Open Artificial Intelligence (OpenAI) developed the language model ChatGenerative Pre-Trained Transformer (ChatGPT). It's a kind of artificial intelligence (AI) systemthat can produce text responses to a variety of questions and prompts that seem

Conference Session

College Industry Partnerships Division (CIP) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kerrie Danielle Hooper, Florida International University; Trina L. Fletcher, Florida International University; Edward Collins, National Society of Black Engineers; Rochelle L Williams, Graduate Fellowships for STEM Diversity; Ahlam Alharbi, Imam Abdulrahman Bin Faisal University

Tagged Topics

Diversity

Tagged Divisions

College Industry Partnerships Division (CIP)

Paper ID #42586Engagement in Practice: A Road Map for Academia and Non-Profit CollaborationKerrie Danielle Hooper, Florida International University Kerrie Hooper is currently an Engineering and Computing Education Ph.D. student at Florida International University. She obtained her Bachelor of Science in Computer Science from the University of Guyana in 2019 and then worked for two years in the industry as a Data Analyst & Systems Administrator, before pursuing her doctoral degree. Her research interests are in AI ethics, responsible technology in education, women’s careers in computing, and arts-based approach to STEM

Conference Session

Artificial Intelligence (AI) and Case Studies in Construction Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hector Buyones-Gonzalez, Universidad Andres Bello, Chile; Monica Quezada-Espinoza, Universidad Andres Bello, Chile

Tagged Divisions

Construction Engineering Division (CONST)

, university programs inconstruction engineering must adapt to meet the current and future job market demands. Theresults will not only identify specific AI competencies deemed vital in the constructionindustry, per the perspectives of the interviewed professionals and experts, but also provideactionable insights into how these skills can be developed and integrated into the industry,enhancing project efficiency and quality. The analysis of semi-structured interviews withindustry experts reveals a labor market that highly values critical reflection, ethical principles,interpersonal and management skills, technical mastery in programming, data analysis,mastery of emerging technologies and construction-related software, English, andcybersecurity