Conference Session

Curricular Innovations in Computing - 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yufang Jin, The University of Texas at San Antonio; Robert Applonie, The University of Texas at San Antonio; Paul E. Morton, The University of Texas at San Antonio; Mason Cole Conkel, Electrical and Computer Engineering, Klesse College of Engineering and Integrated Design, University of Texas at San Antonio; Thuy Khanh Nguyen, University of Texas at San Antonio; Chunjiang Qian, The University of Texas at San Antonio

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

students might help to gainmeaningful insight from students’ viewpoints to improve the AI certificate program. Finally, thelow number of student samples and institutional and regional effects may also be considered fora complete study in the future.6. AcknowledgmentThis work was funded and supported by the National Science Foundation (#2051113) andUSDOT Transportation Consortium of the South-Central States (TRAN-SET) (# 21-034, and#21-049) to YFJ.References[1] B. D. Lund and T. Wang, "Chatting about ChatGPT: how may AI and GPT impact academia and libraries?," Library Hi Tech News, 2023.[2] R. R. Murphy, Introduction to AI robotics. MIT press, 2019.[3] K. Siau and W. Wang, "Building trust in artificial intelligence, machine learning, and

Collection

ASEE Zone 1 Conference - Spring 2023

Authors

Buket D Barkana, University of Bridgeport; Ioana A. Badara, University of Bridgeport; Navarun Gupta, University of Bridgeport; Junling Hu, University of Bridgeport; Ausit Mahmood, University of Bridgeport

Tagged Topics

Diversity

creating a laboratory course wherestudents learn the applications of AI and get to play and experiment with concepts that they can right away see beingapplied through concepts of simple Calculus and Python programming.Deep Convolution based networks with the Triplet loss were quite successful (e.g., FaceNet) in face recognitionresulting in greater than 99% accuracy on benchmarks such as LFW. With the recent success of Transformer basedNatural Language Processing architectures (e.g., ChatGPT), transformers have been attempted in Computer Visionapplications. They have shown considerable success with better computational efficiency than CNN-basedarchitectures. In this project, we compare the FaceNet and transformer-based architecture for face

Conference Session

Engineering Ethics Division (ETHICS) Technical Session _ Monday June 26, 1:30 - 3:00

Collection

2023 ASEE Annual Conference & Exposition

Authors

Umair Shakir, Virginia Polytechnic Institute and State University; Justin L. Hess, Purdue University at West Lafayette (COE); Matthew James P.E., Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics Division (ETHICS)

Improving Decisions in Engineering Education Agents and Systems (IDEEAS) Lab, a group that uses multi-modal data to characterize, understand, a ©American Society for Engineering Education, 2023 Pushing Ethics Assessment Forward in Engineering: NLP-Assisted Qualitative Coding of Student ResponsesAbstractRecent headlines have featured large language models (LLMs), like ChatGPT, for their potentialimpacts throughout society. These headlines often focus on educational impacts and policies. Weposit that LLMs have the potential to improve instructional approaches in engineering education.Thus, we argue that as an engineering education community, we should aim to leverage LLMs tohelp resolve

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Angela R. Bielefeldt, University of Colorado, Boulder

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

degrees that werebenchmarked in more detail, 19 ‘engineering’ and ‘general engineering’ degrees required a lowerpercentage of technical coursework and offered a lower percentage of curricular choicecompared to 7 degrees that included the word interdisciplinary, integrated, or multidisciplinary intheir name. A few programs require students to take the NCEES Fundamentals of Engineering(FE) exam prior to graduation. The AI-based program ChatGPT definitions of general,interdisciplinary, and integrated all emphasized breadth, multiple disciplines, and design, whilealso including the distinguishing factors of practical (for general) versus complex and innovative/novel (interdisciplinary and integrated), and the importance of social impacts (integrated

Conference Session

Environmental Engineering Division (ENVIRON) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Andrew Schulz, Georgia Institute of Technology ; Suzanne Stathatos, The California Institute of Technology; Cassandra Shriver, Georgia Institute of Technology; Roxanne Moore, Georgia Institute of Technology

Tagged Divisions

Environmental Engineering Division (ENVIRON)

, iNaturalist, and Merlin Bird ID show the rise andregularity of crowdsourced data. The rise of public-accessible machine-learning-based productslike ChatGPT, Dall-e, and iPhone-unlocking facial recognition illustrate the emergence ofartificial intelligence (AI) across vast public sectors. AI is predicted to affect global productivity[3], to promote/expose problems in diversity, equity, and inclusion [4], to impact conservationand biodiversity monitoring [5], and to increase the ability to do climate monitoring andforecasting [2]. The 2020 Nature Communication study [2] suggests that AI will influence theability to meet all 17 Sustainability Development Goals (SDGs) set out in their 2030 Agenda [6].Vinuesa, et. al. illustrate and discuss how AI can

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 6

Collection

2023 ASEE Annual Conference & Exposition

Authors

Darcie Christensen, Minnesota State University, Mankato; Lauren Singelmann, Minnesota State University, Mankato; Rob Sleezer, Virginia Tech; Emilie A. Siverling, Minnesota State University, Mankato

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

more learner-centered and focusedon formative feedback rather than summative evaluation [1].As the world of technology continues to advance, a shift and embracement of new assessmentmethods is appropriate and necessary. For example, as of early 2022, the New York Timesreported that universities are now having to change the way they are teaching and assessingstudents because of the widespread availability of A.I. Chatbots such as ChatGPT [12]. WithinIE at Minnesota State University, Mankato, differential methods of assessment have beenemployed for over a decade and we want to share our experiences with oral exams to supportothers in embracing the changing world, better preparing engineering students for their futurepositions.Overview of

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Teresa Piliouras, Technical Consulting & Research, Inc. ; Mengqian Wu, Technical Consulting Research, Inc. ; Steffi N. Crasto, Center for Advanced and Emerging Technologies (CARET); Pui Lam (Raymond) Yu, Technical Consulting & Research, Inc.; Navarun Gupta, University of Bridgeport

Tagged Divisions

Computing and Information Technology Division (CIT)

Theory uses a formalized network diagraming convention to model environmentalsettings [13]. The network diagram consists of a Subject, Mediating Artifacts, Object, andOutcome. The Subject uses external (LMS, computer devices) and internal (plans, strategies)tools to complete an Object (milestone) thereby achieving a desired Outcome. The tools, alsoknown as Mediating Artifacts, are imbued with cultural, historical, and social significance.Mediating Artifacts influence the behavior of the Subject using them, and in turn, the largersocial environment the Subject inhabits. A simple example is shown in Fig. 1. A Subject(Student) is tasked with writing a report on “Activity Theory” (Outcome). The Student (Subject)uses ChatGPT, Wikipedia, and Google