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)

language understanding, code summarization, andnatural language-based programming, where students learn to express programming concepts innatural language 48,49 . 29 outlined the use of dialogue-centric methods in AI-enhanced tutoringsystems, which aid students in formulating pseudocode answers in a natural language formattailored to particular challenges. Furthermore, NLP offers an additional advantage by enablingconversational student support, leveraging knowledge representation to depict a cohort of studentsand their communicative dynamics during collaborative learning in CS. More recently, largelanguage models like ChatGPT are used to assists users by clarifying intricate ideas andtechnologies, offering examples, and directing them to

Conference Session

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

Collection

2024 ASEE Annual Conference & Exposition

Authors

Chun Kit Chui, University of Hong Kong; LEI YANG, The University of Hong Kong; Ben Kao, University of Hong Kong

Tagged Divisions

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

extends these techniques to include fine-tuning a languagemodel and integrating deep learning-based computer vision techniques. These workshops,hosted at the Inno Wing, are open to all students, enabling them to acquire fundamentalcompetencies in generative AI application development. This equips them to apply theirtechnical knowledge to solve real-life problems in the subsequent stage. Figure 4. The workshops “Unleash Creativity with Figure 5. Students built a legal chatbot to assist Generative AI through Open AI Engine and ChatGPT underprivileged people in asking legal questions Build Your Personalized Chatbot” organized by without the use of professional and complex terms student interns for other students

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)

were recorded and uploaded on CLAS, they couldsee the difference between their original and improved lessons. It was an empowering learningexperience that gave the preservice teachers the much-needed confidence that they can figurethings out and if a lesson doesn’t go as well as they wanted the first time around, they alwayshave a second chance.Exploration of Novel Pedagogical ApproachesLearning to remove yourself from your own lessons and to reflect on them in order to teachbetter in the future is a core quality of a STEM educator in the 21st century. To be successful inthe era of fast-changing student population, rapidly evolving technologies, that haveunprecedented pedagogical potential, such as ChatGPT [42, 43], continuously

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)

Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, et al. Performance of chatgpt on usmle: Potential for ai-assisted medical education using large language models. PLoS digital health, 2(2):e0000198, 2023.[13] Enkelejda Kasneci, Kathrin Seßler, Stefan K¨uchemann, Maria Bannert, Daryna Dementieva, Frank Fischer, Urs Gasser, Georg Groh, Stephan G¨unnemann, Eyke H¨ullermeier, et al. Chatgpt for good? on opportunities and challenges of large language models for education. Learning and individual differences, 103:102274, 2023.[14] Ramteja Sajja, Yusuf Sermet, Muhammed Cikmaz, David Cwiertny, and Ibrahim Demir. Artificial intelligence- enabled intelligent assistant for personalized and adaptive learning in higher education

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Corey Kiassat, PhD, MBA, PE, Quinnipiac University

Tagged Divisions

Industrial Engineering Division (IND)

Ercikan and McCaffrey's work on the integration ofartificial intelligence into rubric generation [8], the author utilized ChatGPT to construct therubric. Additionally, similar to the framework outlined by Cooper [9], ChatGPT wasemployed to systematically apply the rubric and assess student contributions.A one-tailed t-test was then performed on the total before and after scores of the students. Ap-value of 0.0008 and Cohen’s d value of 1.57 to conclude that the course suggest that thecourse had a significant and practically meaningful impact on the students. The rubric andthe results are presented in Tables 1 and 2. While the number of respondents is small (n=9),the trend is certainly positive, encouraging the continuation of integrating

Conference Session

Biomedical Engineering Division (BED) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Eliot Bethke, University of Illinois at Urbana - Champaign; Ali Ansari, University of Illinois Urbana-Champaign; Jennifer R Amos, University of Illinois Urbana-Champaign; Joe Bradley, University of Illinois Urbana-Champaign; Ruth Ochia P.E., Temple University; Holly M Golecki, University of Illinois Urbana-Champaign

Tagged Divisions

Biomedical Engineering Division (BED)

we determined were the most relevant to the topicscovered in our workshops [8,29]. Text definitions for IEEE terminology [29] in Table 3 weregenerated and summarized using ChatGPT 3.5 [6].Table 3. IEEE taxonomy terms selected as coding scheme for analysis. Definitions provided by ChatGPT. Term Definition Workshop CAD/CAM The use of computer technology in the design and CAD manufacturing processes of products. Design for An approach in product design that focuses on CAD manufacture optimizing the design of a product to make it more easily and cost-effectively manufacturable. Breadboarding

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kavon Karrobi, Boston University; Angela Lai, Tufts University

Tagged Divisions

Biomedical Engineering Division (BED)

understanding of the scientific writing process. On an integer scale of 1 to 5, where 1 is “Weak” and 5 is “Strong”. 8. Rate your understanding of ethics in scientific publication. On an integer scale of 1 to 5, where 1 is “Weak” and 5 is “Strong”. 9. How comfortable are you with preparing and presenting technical presentations? On an integer scale of 1 to 5, where 1 is “Never Tried” and 5 is “Very Comfortable”.10. How often do you use ChatGPT, BingChat or other AI Large Language Model (LLM) tools for writing tasks? On an integer scale of 1 to 5, where 1 is “Never Tried” and 5 is “Very Often”.11. If you use these AI tools, what specifically have you used them for? [open response]12. What is one area of technical communication

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)

into technical writing instruction.References[1] “Best Practices for Using AI When Writing Scientific Manuscripts: Caution, Care, andConsideration: Creative Science Depends on It” ACS Nano 2023, 17, 5, 4091–4093. 2023.https://doi.org/10.1021/acsnano.3c01544[2] Leung TI, de Azevedo Cardoso T, Mavragani A, Eysenbach G. Best Practices for Using AITools as an Author, Peer Reviewer, or Editor. J Med Internet Res. 2023 Aug 31;25:e51584. doi:10.2196/51584. PMID: 37651164; PMCID: PMC10502596.[3] J. Qadir, "Engineering Education in the Era of ChatGPT: Promise and Pitfalls of GenerativeAI for Education," 2023 IEEE Global Engineering Education Conference (EDUCON), Kuwait,Kuwait, 2023, pp. 1-9, doi: 10.1109/EDUCON54358.2023.10125121.[4] A. Adkins, N. S

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nicu Ahmadi, Texas A&M University; Lance Leon Allen White, Texas A&M University; Tracy Anne Hammond, Texas A&M University

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

weighing its repercussions on human-machine dynamics. It sets the stage forfuture AEI research, emphasizing the significance of interdisciplinary studies to bring in a trulyhuman-centric and accountable AI paradigm. The research question at hand is: Can GenerativeAI, enriched by cross-disciplinary insights, take an intuitive leap to discern human emotions,driving us towards a more empathetic and ethical AI future?IntroductionThe evolution of Artificial Intelligence (AI) in recent decades has been nothing short ofremarkable, marking a paradigm shift in how machines emulate tasks traditionally performed byhumans. Take, for example, OpenAI’s ChatGPT, which has become a paradigm of AI’scapabilities in mimicking human-like conversational skills

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Quintana (Quincy) Clark, Oregon State University; Chidinma Grace Okoye; Theodore Ja

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

eNotebook to include a tutoring AI feature that students could talk to along with their favoritestudy methods. eNotebook provides a general platform for nearly all of today’s study methods andmaterials students use to create and customize for efficient access and assessment. For example,we have implemented a two-way talking conversation feature called Jarvis, which is an audio-to-text / text-to-audio feature with a ChatGPT engine with AI-specific aids to improve the quality ofAI responses. We have embedded weblinks to over 50 of the most popular study apps easilyaccessible through a pull-down menu, where favorites appear at the top of the list. We haveimplemented a feature that converts handwritten notes into typed text. Images, audio, videos

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Abdulrahman AlRabah, University of Illinois Urbana-Champaign; Sophia Yang, University of Illinois Urbana-Champaign; Abdussalam Alawini, University of Illinois Urbana-Champaign

Tagged Divisions

Computers in Education Division (COED)

context of SQL query feedback?Our research questions aim to evaluate the feasibility and effectiveness of utilizing a GenerativeAI model to provide semantic error feedback without revealing the correct solution. We targetprecise error detection and insightful feedback to enhance the educational experience by makingit more tailored to each student. The effectiveness of our fine-tuned model was assessed throughcomparative analyses with the outputs from the standard ChatGPT model. This validation processwas crucial in establishing the refined model’s advancement and distinction in providing preciseand contextually appropriate feedback for SQL queries.2 Related WorkResearch on SQL learning has explored various types of errors and student challenges

Conference Session

Materials Division (MATS) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Joel L Galos, California Polytechnic State University, San Luis Obispo; Aaron Zachary Chandler Friedman, California Polytechnic State University, San Luis Obispo; Ethan Jamosmos, California Polytechnic State University, San Luis Obispo; Sarah Isabel Allec, Citrine Informatics; Brina Blinzler, The University of Kansas; Lessa Grunenfelder, University of Southern California; Adam R Carberry, The Ohio State University

Tagged Divisions

Materials Division (MATS)

additional question was added related to ChatGPT,which had risen to prevalence in that time. 5. I think I will need to use ChatGPT at some point in my career.In addition to the MATE 245 class, in the summer of 2023, two undergraduate research studentswere employed to aid in the development of the plastic 3D printing dataset and case study. Thesestudents spent 8 weeks working on developing the 3D printing case study in the Citrine Platform.During this time the students gained more in-depth knowledge of AI and ML through guided andindependent research. The students were invited to provide prompt-based written reflections ontheir understanding and perceptions of ML and how it might be applied to their future careers.Preliminary Findings and

Conference Session

First-Year Programs Division WIPS 3: Courses and Curricula

Collection

2024 ASEE Annual Conference & Exposition

Authors

Richard Goldberg, University of North Carolina ; Ehssan Nazockdast, University of North Carolina ; Daphne Klotsa , University of North Carolina

Tagged Divisions

First-Year Programs Division (FYP)

assistants who attend class tohelp with student questions during project work time, and they support the grading ofassignments.For the first two years (2020 and 2021) that we offered the class, the semester was significantlyimpacted by COVID and it was taught as a hybrid class. As a result, the class has changedsignificantly each semester as it shifted from hybrid to in-person and we continued to add andmodify the class activities.This year, we made adjustments to address the availability of artificial intelligence (AI) chatbots,such as ChatGPT [20] and Matlab AI Chat Playground [21]. The biggest impact is on thesimulation module because students can easily generate their code with these AI chatbots. As aresult, we have put less emphasis on

Conference Session

DSA Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Abdulrahman Alsharif, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

traditionalNLP methods alone [21]. Additionally, as Large Language Models (LLMs) increase and rapidly develop, manyorganizations and researchers compete to create more powerful and advanced GAI models.These new models aim to outperform older versions [22]. GAI models come as applications ortools like ChatGPT, GitHub Copilot, and Bard to name a few. One key example is the GPTmodel, which has gone through versions 3, 3.5, and now 4, each with different capabilities [22].When new GPT versions are released, they often gain new features, capabilities, and parameterscompared to previous versions [22]. Also, OpenAI and other research groups constantly work toimprove LLMs and other AI models. This could impact the accuracy of the information in

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)

, andstaying informed about the latest threats, as highlighted by P5: "AI works with a lot of data,which can be very sensitive; hence companies won't want to give their data to just anycompany to propose a solution, then that's a big challenge I think the artificial intelligenceindustry has to take charge of and somehow guarantee the security that your data will beused safely and not leak or be misused."Interviewee P8 mentions a concrete example: "In the mining sector, a company has created achatbot based on ChatGPT, but with its database. This allows for analysis and queries ofspecific company data without compromising the confidentiality of the information,"demonstrating how AI solutions can be designed to maintain data integrity

Conference Session

Broadening Perspectives in Construction Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Daniel Linares, Florida Gulf Coast University; Diana Marcela Franco Duran, University of Virginia; Kenneth Stafford Sands II, Auburn University; David R. Gutierrez, University of Virginia; Deyrel Diaz, Clemson University

Tagged Topics

Diversity

Tagged Divisions

Construction Engineering Division (CONST)

can understand what is appropriate for this this task? working well or not in task? the project. Which of the following tools are more appropriate for this problem? Expected Correct Answers Drones Virtual Reality Programming ChatGPT (+1) Point

Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sreekanth Gopi, Kennesaw State University; Nasrin Dehbozorgi, Kennesaw State University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

]. Anotherstudy indicates that ChatGPT-4 outperforms ChatGPT-3.5 and BARD by Google Inc. in several reasoning tasks,particularly in abductive reasoning, mathematical reasoning, and commonsense reasoning [46]. Therefore, in thisstudy, we chose GPT-4 as our preferred LLM model.Educational Implications in Engineering Easy access to psychological monitoring and measurement is imperative in engineering education due to theunique stressors associated with this field. Studies have shown that the engineering culture, often perceived asmasculine, competitive, and exclusionary, can lead to significant stress and mental health challenges for students,particularly for women and students of color [47]. This environment is characterized by a belief in enduring

Conference Session

Accountability and Stewardship

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gail Baura, Loyola University, Chicago; Matt Miller, Loyola University, Chicago

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

. Another advantageof using recent disasters, like the 2023 Parajo River Levee Breach and 2023 Lahaina Fire, is thatthey circumvent the use of ChatGPT for the project. When ChatGPT was asked “Was theengineering standard upheld before the Pajaro River Levee failed?,” its response in August, 2023was: As of my last knowledge update in January 2022, I don't have specific information about the Pajaro River Levee failure or any related incidents after that date. Levee failures can be caused by various factors, including inadequate engineering standards, lack of maintenance, natural disasters, or unforeseen circumstances.Study LimitationsIt is worth noting that the small sample size in our study could have prevented us from detectingtrue

Conference Session

Engineering Libraries Division (ELD) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jamie M. Niehof, University of Michigan; Sarah Barbrow, University of Michigan; Paul Grochowski, University of Michigan; Luesoni Kuck, University of Michigan

Tagged Divisions

Engineering Libraries Division (ELD)

Mathematics StatisticsEach main category and subcategory has an arXiv code, e.g.: ● Computer Science = .cs ● Artificial Intelligence = cs.AI ● Nuclear Theory = .nucl-thThe codes enable easy subject-limiting during the search process, thus: chatGPT cs.AIin the main search bar will look for arXiv preprints on chatGPT that fall inside the ComputerScience subcategory of Artificial Intelligence.arXiv search is limited and non-intuitive compared to search in subscription library databases. Tosearch the entire arXiv and not a single main category, the small search box in the upper rightcorner must be used. Open Advanced Search from here, which has more search options.Few filters

Conference Session

Community Building and Student Engagement

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ilya Mikhelson, Northwestern University

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

a different approach. To go along with the stated goalof empowerment, students explore topics of their choosing in much greater detail than can bedone in class. In order to constrain the scope a little, a few choices were given for each deep dive.For example, here are the choices that were given for the second deep dive. • Build an electrocardiogram monitor using discrete op-amps. • Analyze and characterize the non-ideal properties of an op-amp. • Write code to perform backpropagation on a simple neural network. • Write a children’s book on a class topic. • Argue with ChatGPT [8] and find a fundamental misunderstanding in its response.In addition to allowing students to explore interesting topics in

Conference Session

Virtual Design and Construction (VDC) in Construction Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Luciana Debs, Purdue University; Alex Souza; Fernando Romero Moraes, University of Massachusetts Amherst

Tagged Topics

Diversity

Tagged Divisions

Construction Engineering Division (CONST)

construction industry, even fewer studies haveexplored the impact of predictive analytics using large language models (LLM), such asChatGPT or BERT. Yet, the little existing research also points to the need for reskilling theexisting workforce [17,18], albeit unclear on the broad implications beyond direct developmentand interaction of LLMs. Short- and long-term implications of the use of ChatGPT in allindustries are still unclear [18]. However, due to its analytical nature, it might displace differentpositions than those affected by the use of robotics.Moreover, it is clear through the increased use of information technologies that roles related tothis discipline will start to be part of the building process. For example, the centrality of

Conference Session

Engineering Physics and Physics Division Technical Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

JAMES WANLISS, Anderson University

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

necessary, so to speak, to set the table on behalf of thestudents since they will have heard about ML, and even used it as a technology, but without anunderstanding of the limitations and concepts crucial to understanding ML. Thus, we will beginwith definitions and key characteristics of ML and deep learning. In the era of intense studentuse of ChatGPT it is easy to see how students may think they understand so-called artificialintelligence, so it should be important to illustrate strengths, weaknesses, and limitations of whathas been referred to as fake or ‘Potemkin AI’ [31].Students will learn about the biological analogy of neurons with so-called artificial neurons,structured in neural network nodes and layers on a computational device. They

Conference Session

Biomedical Engineering Division (BED) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mercedes Terry, University of North Dakota; Enrique Alvarez Vazquez, University of North Dakota; Dan Ewert, University of North Dakota; Ryan Striker, University of North Dakota

Tagged Divisions

Biomedical Engineering Division (BED)

graduate students interactwith them more frequently. Together, these results suggest that how graduate students interactwith UG students leads to skill growth and that merely having one is inadequate for drivinggrowth.Perceived Challenges and Advantages of Graduate Students on their Instructional Setting Generally, online students did not indicate they perceived many challenges whenmentoring UG students in an online instructional setting. Generative AI, specifically ChatGPT,found that online students perceive that being online poses many advantages. The three mostcommon trends were that an online instructional setting allows students to be more flexible andhandle their professional and personal lives more efficiently, it is easier to

Conference Session

DSA Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tony Maricic, New York University Tandon School of Engineering; Nisha Ramanna, New York University Tandon School of Engineering; Alison Reed, New York University Tandon School of Engineering; Rui Li, New York University; Jack Yang, New York University Tandon School of Engineering

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

recognition with TensorFlow and Keras, pp. 31-43, 2018.[7] D. Baidoo-Anu and L. O. Ansah, "Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning," Journal of AI, vol. 7, no. 1, pp. 52-62, 2023.[8] E. Brynjolfsson, D. Li, and L. R. Raymond, "Generative AI at work," National Bureau of Economic Research, 2023.

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kwansun Cho, University of Florida; Umer Farooq, Texas A&M University; Saira Anwar, Texas A&M University

Tagged Divisions

Computing and Information Technology Division (CIT)

may not be helpful for advanced skills.For example, a peer mentor mentioned:“MATLAB is for computations and modeling so a lot of the programming fundamentals youwould like to build as an engineer are not emphasized.”Discussion and ConclusionWhich programming language should be introduced to novice programmers, particularlyengineering students? It is an open debate and requires constant revisitation. This revisitation isessential today, where the boom of AI technologies and tools like ChatGPT have taken the worldby storm. Such tools have diversified the need for engineers trained in programming, making it anecessary skill in the industry [10].Considering the relevance and importance of the revisitation, this study presents the perceptionsand

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Stephen Andrew Wilkerson P.E., York College of Pennsylvania; Yargo Teixeira Gomes de Melo, York College of Pennsylvania; Alex Suarez, York College of Pennsylvania

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

. [Online]. Available: https://uav-en.tmotor.com/. [Accessed 14 December 2023][5]VertIQ, "Thrust Data," VertIQ, 2023. [Online]. Available: https://www.vertiq.co/thrust-data.[Accessed 14 December 2023].[6] Foxtech, "Foxtech Diamond Series Semi-Solid-State Li-ion Battery," Foxtech, 2022. [Online].Available: https://www.foxtechfpv.com/foxtech-diamond-6s-22000mah-semi-solid-state-li-ion-battery.html. [Accessed 14 December 2023].[7] M. Ramasamy, "Measurements Comparing Hover Performance of Single, Coaxial, Tandem,and Tilt-Rotor Configurations," in AHS 69th Annual Form, Phoenix, AZ, 2013[8] Microsoft Word, Google Sheets and ChatGPT were used to check Grammar and Style of thisdocument.

Conference Session

NEE Technical Session 4 - Assessments: Grading and deadlines

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bob Schaffer, Mission College

Tagged Divisions

New Engineering Educators Division (NEE)

sites like ChatGPT. In some courses, due totime demands, students are literally put in the position of having to decide between taking thelonger amount of time to learn the material and doing it quickly, which at time includes usingoutside (disallowed) resources to ‘earn’ a higher grade.The motivation for this paper comes from previous work that shared strategies to take pressure offof formative assessments by lowering the emphasis on getting the right answer. Some approacheshave been taken to motivate students to spend more time on formative assessments and then furtherenhance learning through reflection [1], [2], [3]. Other strategies [4], [5] lean on the benefit offlexible deadlines and regrading policies. It has been shown that struggling

Conference Session

Advancing Online and Hybrid Learning in Engineering Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mona ElHelbawy, University of Colorado Boulder; eric bogatin, University of Colorado Boulder

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

labs weretaking closer to 6-8 hours to complete. We revised all the future labs and reduced them each toonly two experiments per lab, so it was under 4 hours to complete, including watching the videos.In the second survey sent out, there were no reported issues with any of the labs.While the TAs graded the lab reports, we noticed in spot checking some of the reports that theywere clearly written using ChatGPT. The sentence structure was complex, filled with expressiveadjectives and while there were a lot of words, they often contained a low density of information.We sent out a warning to students that anyone using Chat GPT for the labs reports would be givena zero and no future labs would be accepted unless they convinced the staff they would

Conference Session

Educational Research and Methods Division (ERM) Technical Session 17

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xavier Rene Plourde, University of California, Berkeley; Garrett Ethan Katz, Syracuse University

Tagged Divisions

Educational Research and Methods Division (ERM)

cross-site copy-paste from 3rd-party sources (e.g., ChatGPT), andparticipant authentication using a Google account to keep keylogs secure. Experimenters canconfigure and deploy their own instance of the application following the documentation in thecode repository. Configuration uses a simple, human-readable, text-based format to specifyproblem descriptions, initial code stubs, test case data, survey questions, and other parameters.We validated the tool with a pilot study approved by our institutional review board whichinvolved 17 problems of increasing difficulty and duration, for a total of 105 minutes. Forexample, the final problem was to determine the winner in a tic-tac-toe board (complete problemdetails are available in our code

Conference Session

MECH - Technical Session 5: Virtual Learning and Technology Integration

Collection

2024 ASEE Annual Conference & Exposition

Authors

Pooya Niksiar, The Citadel; Blakeley Hunter Odom, The Citadel

Tagged Divisions

Mechanical Engineering Division (MECH)

include rocketry club [1], Baja SAE club [2,3] and Robotic club [4]. Inthe past decade, the advent of Graphical Processing Units (GPUs) accelerated research andapplications in the fields requiring intense computations. Machine and deep learning were thefields that benefited significantly from GPUs as they are computationally, very demanding.Although machine learning and deep learning have been used for decades, ChatGPT was the firstapplication to demonstrate the power and usefulness of Artificial Intelligence (AI) to a publicaudience. Since then, many fields have utilized AI to their advantage. The power andeffectiveness of AI in many fields have led many to believe the next revolution like agriculture,the industrial revolution, and technology