Displaying results 61 - 90 of 138 in total
- Conference Session
- Computers in Education Division (COED) Track 4.E
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Michael Thomas Vaccaro Jr, University of Connecticut; Mikayla Friday, University of Connecticut; Zeynep Gonca Akdemir-Beveridge, University of Connecticut; Arash Esmaili Zaghi P.E., University of Connecticut
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
personalizationdevelop custom graphical user interfaces (GUI)—such as that developed in the follow-up studyby Vaccaro et al. [22]—rather than rely on public-facing interfaces like ChatGPT as it minimizesthe potential for user error. Such a controlled GUI is also beneficial from an experimental contextwhere consistency in implementation is of critical importance. Finally, it should be noted thatsuch an environment allows for strict control over the types of information students can sharewith an LLM, thus maintaining student privacy.Integration of Personalized Learning in Engineering Education through LLMsThe integration of PL into engineering education through advanced AI and LLMs represents atransformative yet nascent field. The use of cutting-edge LLMs, such
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 3
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Roberto Patricio Carú, Universidad Andres Bello; Juan Felipe Calderón, Universidad Andres Bello, Viña del Mar, Chile
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
parameters.Appendix 4 details the performance of the Gemini, ChatGPT, and Perplexity AI tools in thesetasks, providing practical examples of their capabilities. Through a mixed-methodology approachthat includes a literature review, case studies, and practical experimentation, this researchexplores how AI can optimize these areas and develops a theoretical and practical frameworkthat guides its effective and ethical implementation.Research ObjectivesThe primary purpose of this study is to explore and assess the impact of Artificial Intelligence(AI) on the management and operation of Information Systems (IS) within educational andbusiness environments. Specifically, the research aims to:1. Evaluate how AI can improve operational efficiency in information
- Conference Session
- ME Division Technical Session 2 - Harnessing AI and Machine Learning to Transform ME Education
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Wenhai Li, State University of New York, College of Technology at Farmingdale; Yue Hung, Farmingdale State College; Gonca Altuger-Genc, State University of New York, College of Technology at Farmingdale; Sen Zhang, State University of New York, Oneonta; Akin Tatoglu, University of Hartford; Zhou Zhang, State University of New York, College of Technology at Farmingdale
- Tagged Topics
- Diversity
- Tagged Divisions
- Mechanical Engineering Division (MECH)
. The session then transitions to the transformative role of Transformers in NLP, focusing on their improvements over RNNs without delving into advanced mathematical details. This leads to the discussion of Large Language Models (LLMs), such as ChatGPT [8], emphasizing their engineering applications. Students learn to use ChatGPT’s API to integrate NLP into workflows, with a Python example showing how to send prompts, receive responses, and maintain conversational context by including prior interactions. These hands-on examples help MET students understand the practical applications of NLP tools like LLMs in solving engineering problems. • Topic 8: Reinforcement Learning (RL) – The last topic
- Conference Session
- ENT-3: Transforming Engineering Curriculum through Entrepreneurial Approaches
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Joshua Gargac, Ohio Northern University; Shuvra Das, University of Detroit Mercy; Kurt M Degoede, Elizabethtown College; Sara A. Atwood, Elizabethtown College
- Tagged Topics
- Diversity
- Tagged Divisions
- Entrepreneurship & Engineering Innovation Division (ENT)
, showcasing an enhanced ability to analyze and learn from failure. Table 4: Summary of ChatGPT comparison of pre-course and post-course responses to “How would you define a healthy mindset toward failure?” Pre- Post- Change Example Pre-Course Theme Course Course Example Post-Course Response (%) Response (%) (%) "By viewing it as a steppingstone to fully Focus on learning and understanding the content
- Conference Session
- Equity, Culture & Social Justice in Education Division (EQUITY) Technical Session 7
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Mariana A. Alvidrez; Elsa Q. Villa, University of Texas, El Paso; Elaine Hampton; Mary K. Roy; Tomas Sandoval; Andrea Villagomez
- Tagged Topics
- Diversity
- Tagged Divisions
- Culture & Social Justice in Education Division (EQUITY), Equity
become whistleblowers be taken seriously, or not [7]; • Is the Amazon machine-learning algorithm used for recruiting discriminatory against women, or not [8]; • Should controversial public people be banned from Twitter and other social media platforms, or should the First Amendment protect them [9]; and • Should ChatGPT be embraced in school settings, or should it be banned [10], [11]. Acknowledging the relevance of ethics in CS education is not a novelty. In 1972, ACMreleased and adopted the first Code of Professional Conduct [12], with its last revision releasedin 2018 [13]. Discussions of professional and social responsibility in CS education have beenpart of professional forums for decades [14]. The 2017-2018
- Conference Session
- International Division (INTL) Poster Session
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
- Fanyu F Zeng, Indiana Wesleyan University
- Tagged Topics
- Diversity
- Tagged Divisions
- International Division (INTL)
difficulty • Academic expectations • Learning styles • Assignment deadline • Attendance to class and meeting • Plagiarism, ChatGPT, copying from each other, using a material with a proper or no citation.Some of the challenges faced by students from India are surprising to us because many may notthink that those students may have such challenges in the areas below. • Cultural Adjustment: Many believe India is very close to Western countries because of its unique history over the last 100 years. But we still find that many students adapt to a new culture, lifestyle, and social norms after they arrive in the U.S. Like other international students, they may still experience culture shock, homesickness, and
- Collection
- 2024 South East Section Meeting
- Authors
- John W. Brocato, University of Georgia
- Tagged Topics
- Diversity
• Public Perceptions: Examining the Movie Versions of Jeffrey Wigand and CBS News • Edward Tufte's Analysis of Statistical Storytelling: John Snow and the London Cholera Epidemic of 18544On the seemingly ubiquitous subject of AI/ChatGPT, students in BIOE 2100 are required to usethis technology for their major writing assignments, as follows: In addition to your own final version of this assignment, you must also submit an AI- rendered version; i.e., (1) input a prompt to some form of AI software; (2) submit the response it gives you here (separate file) along with the assignment you created yourself; and (3) include a brief (6-8 sentences) analysis of the differences between your submission
- Conference Session
- Engineering Economy Division (EED) Technical Session 1
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
- Tamara R. Etmannski, University of British Columbia
- Tagged Topics
- Diversity
- Tagged Divisions
- Engineering Economy Division (EED)
material. Upon further investigation, it was determined thatwhen asking ChatGPT some specific questions, the responses are also very similar to thatmaterial, suggesting its use of the publisher’s material in its training, and perhaps use of eitherthe materials directly or of ChatGPT by the student development team. In any case, the materialdevelopment phase of the project ended in September, four months before this discovery (inFebruary 2024) so the student development team was unable to support in any corrections thatwere required. The instructor then rewrote and/or restructured many slides prior to use, to ensurethe was no question of copyright infringement.The debugging process proceeded seamlessly, with students in the course finding 29typos
- Conference Session
- Computers in Education Division (COED) Track 2.D
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Edward F. Gehringer, North Carolina State University at Raleigh; Madhur Dixit, North Carolina State University at Raleigh; Kavya Lalbahadur Joshi
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
of the dual-submission strategies, there is more variety to what is submitted for thesecond deadline. Sometimes students are asked to self-grade their homework [2–4]; usually theyare asked to make corrections, and some strategies ask them to undertake other activities, such asa quiz [5], group discussion [6–7], filling in missing steps in a derivation [8], or filling out a“homework wrapper” [9–10] that asks about the strategies that students used in doing thehomework and how successful they proved to be.However, the rise of Large Language Models (LLMs) like ChatGPT presents a challenge. Thesemodels can solve simple homework problems, but can they also produce credible reflections? IfLLMs can generate authentic-looking reflections, the dual
- Collection
- 2025 ASEE -GSW Annual Conference
- Authors
- Colby Edward Kurtz, Houston Christian University
- Tagged Topics
- Diversity
AbstractThis paper demonstrates the design and implementation of an innovative gamified softwareapplication for learning human-spoken languages. The game serves as an interactive and enjoyablesupplement to aid the learning process of different languages for elementary-aged children. At its core,the application uses a translation Application Programming Interface (API) to process text and outputtranslations in the target language chosen by the learner. Additionally, it is AI-enabled, allowing theutilization of APIs such as OpenAIs’s ChatGPT to enhance the translation capabilities. Provided is abasic proof of concept that was developed as part of the Final Pi Project in the Intermediate ComputerProgramming (COSC 1352) course. The gamified program was
- Conference Session
- Educational Research and Methods Division (ERM) Technical Session 7
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
- Xiuhao Ding, University of Illinois at Urbana - Champaign; Meghana Gopannagari, University of Illinois at Urbana - Champaign; Kang Sun, University of Illinois at Urbana - Champaign; Alan Tao, University of Illinois at Urbana - Champaign; Delu Louis Zhao; Sujit Varadhan, University of Illinois at Urbana - Champaign; Bobbi Lee Battleson Hardy, University of Illinois at Urbana - Champaign; David Dalpiaz, University of Illinois at Urbana - Champaign; Chrysafis Vogiatzis, University of Illinois at Urbana - Champaign; Lawrence Angrave, University of Illinois at Urbana - Champaign; Hongye Liu, University of Illinois at Urbana - Champaign
- Tagged Topics
- Diversity
- Tagged Divisions
- Educational Research and Methods Division (ERM)
gold standard to evaluateautomated text analytic approaches. Raw text from open-ended questions was converted intonumerical vectors using text vectorization and word embeddings and an unsupervised analysisusing document clustering and topic modeling was performed using LDA and BERT methods. Inaddition to conventional machine learning models, multiple pre-trained open-sourced local LLMswere evaluated (BART and LLaMA) for summarization. The remote online ChatGPTclosed-model services by OpenAI (ChatGPT-3.5 and ChatGPT-4) were excluded due to subjectdata privacy concerns. By comparing the accuracy, recall, and depth of thematic insights derived,we evaluated how effectively the method based on each model categorized and summarizedstudents
- Conference Session
- AI Integration in Engineering Economy Course
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Raymond L. Smith III, East Carolina University; Ricky T Castles, East Carolina University; Emily Fuller Sondergard
- Tagged Topics
- Diversity
- Tagged Divisions
- Engineering Economy Division (EED)
disciplines[15]. However, the growing influence of generative AI tools like ChatGPT has also raised concernsregarding academic integrity and appropriate use, particularly among younger learners [16].Rather than viewing AI solely as a threat to traditional education models, recent efforts advocate for itsresponsible integration to enrich learning environments [11]. Strategies such as developing custom AIchatbots aligned with educational objectives offer pathways to maintain academic rigor while leveragingthe strengths of AI technologies [17]. At the forefront of this movement, work presented at the AmericanSociety for Engineering Education (ASEE) has demonstrated the effective use of custom generative AIchatbots as course resources [18], [19
- 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
- Collection
- 2024 South East Section Meeting
- Authors
- Brian Aufderheide, Hampton University; LaNika M. Barnes, Albemarle County Public Schools (Charlottesville, Virginia); Otsebele E Nare, Hampton University; Garrick E. Louis, University of Virginia; Daniel Webster Fairley II, 100 Black Men of Central Virginia
- Tagged Topics
- Diversity
represented the overall interest of all the participating students. The students fillingout the form were 38 out of a total of 46 or 82.6%. The breakdown of students who stated theirpreferred topics was 17 (85%) from HBCU, 9 (100%) from high school, and 12 (70.6%) fromPWI. Over 90% of the students who filled out the form got one of their top three choices. Seetable 1 below for more information on topics and student choices. In the end, those not chosenwere Drone Use and Global Justice, AI and Written Papers ChatGPT, and Flint Michigan Water. Table 1: Ethics Case Study Topics % Student Choices No. Topic
- Collection
- 2024 South East Section Meeting
- Authors
- Arezou Shafaghat, Kennesaw State University; Mohammad Jonaidi; Hoseoen Lee; Craig A Chin, Kennesaw State University; Ali Keyvanfar, Kennesaw State University
- Tagged Topics
- Diversity
: Non-numerical evaluation at the end of an instructionalunit, focusing on the application of learned concepts. - Quantitative Summative Assessment: Numerical evaluation at the end of an instructionalunit, like final grades or scores.XYZ EduOwl Tool ValidationIn order to comprehensively evaluate the user perception of the XYZ EduOwl tool, an innovativeapproach was employed using ChatGPT, a generative AI language model developed by OpenAI.The model, known as ADA, was instrumental in generating a simulated dataset, which wascrucial for our analysis.With the assistance of ChatGPT ADA, a set of simulated responses was structured to mirror real-world user feedback. This simulation involved creating responses for 100 respondents,encompassing a
- Conference Session
- DASI Technical Session 2: Artificial Intelligence in Higher Education
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Ibukun Samuel Osunbunmi, Pennsylvania State University; Taiwo Raphael Feyijimi, University of Georgia; Lexy Chiwete Arinze, Purdue University at West Lafayette (COE); Viyon Dansu, Florida International University; Bolaji Ruth Bamidele, Utah State University; Yashin Brijmohan, Utah State University; Stephanie Cutler, The Pennsylvania State University
- Tagged Topics
- Diversity
- Tagged Divisions
- Data Science and Artificial Intelligence (DSAI) Constituent Committee
AI toolsare trained when using the tool. Some questions were posed to encourage critical thinking, such asexamining the data used for AI training, the reliability of AI outputs, and strategies for fine-tuningAI tools. This reflective process aimed to help participants balance human judgment with AIassistance effectively.Furthermore, the participants were introduced to Bloom's taxonomy as a framework for developingAI literacy [13], progressing from foundational knowledge acquisition to the creation of originalwork (See Figure 1). Practical sessions involved the use of resources like ChatGPT, Scholarly,Elicit, and Consensus as AI as a tutor and for aiding literature reviews and syntheses. Similar AIworkshops have been held by the facilitator
- 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
- 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
- Track 3: Technical Session 1: Bridging Educational Equity Gaps: A Systematic Review of AI-Driven Tools for Students Living with Disabilities in Engineering and STEM Education
- Collection
- 2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)
- Authors
- Kevin Zhongyang Shao, University of Washington; Denise Wilson, University of Washington; Eric Kyeong-Min Cho, University of Washington; Sophia Tang, University of Washington; Hanlin Ma, University of Washington; Sep Makhsous, University of Washington
- Tagged Topics
- 2025 CoNECD Paper Submissions, Diversity
intersecting factors on theaccessibility of educational resources, opportunities, accommodations, and support systems.In recent years, the pursuit of educational equity has increasingly intersected with advancementsin technology, particularly artificial intelligence (AI). Just as earlier legal and policy reformssought to address the systemic barriers faced by marginalized groups, technological innovationsare opening new pathways to equitable education. A pivotal moment in AI research occurred inMarch 2016, when AlphaGo defeated the world chess champion, capturing global attention andsparking global interest across numerous fields. In education, AI-driven tools have similarlyushered in a new era, with tools like ChatGPT. Introduced in November 2022
- Conference Session
- Graduate College Industry Partnerships
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Reem Khojah, University of California, San Diego; Alyssa Catherine Taylor, University of California San Diego
- Tagged Topics
- Diversity
- Tagged Divisions
- College Industry Partnerships Division (CIP)
, et al. ‘A domain-specific next-generation large language model (LLM) or ChatGPT is required for biomedical engineering and research.’ Annals of biomedical engineering 52.3 (2024): 451-454.”.[3] “ASEE PEER - Impact of AI Tools on Engineering Education.” Accessed: Jan. 13, 2025. [Online]. Available: https://peer.asee.org/impact-of-ai-tools-on-engineering-education?utm_source=chatgpt.com[4] “ASEE PEER - Revolutionizing Engineering Education: The Impact of AI Tools on Student Learning.” Accessed: Jan. 13, 2025. [Online]. Available: https://peer.asee.org/revolutionizing-engineering-education-the-impact-of-ai
- Conference Session
- Computers in Education Division (COED) Poster Session (Track 1.A)
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Nadya Shalamova, Milwaukee School of Engineering; Olga Imas, Milwaukee School of Engineering; James Lembke; Maria Pares-Toral, Milwaukee School of Engineering; Derek David Riley, Milwaukee School of Engineering; Daniel Bergen, Milwaukee School of Engineering
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
Intelligence (AI) is no longer a subject of science fiction or a niche for specializedindustries. AI permeates everyday life, impacting how people work, communicate, and solveproblems locally and globally [1]. AI applications in higher education have grown significantlyin recent years, as evidenced by the adoption of AI-driven instructional design tools andapplications (e.g., Khan Academy's Khanmigo, ChatGPT for Education, MagicSchool), AI-enabled scientific literature search engines (e.g., Semantic Scholar, Consensus), collaborativeapplications (e.g., MS Teams), smart AI features in learning management systems (e.g., Canvas),and AI-based assistants (e.g., Grammarly, Canva).The widespread infusion of generative AI (GenAI) specifically marked a new
- Conference Session
- Faculty Development Division (FDD) Poster Session
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Gadhaun Aslam, University of Florida; Idalis Villanueva Alarcón, University of Florida
- Tagged Topics
- Diversity
- Tagged Divisions
- Faculty Development Division (FDD)
bepresented as a lightning talk.Keywords—Faculty Professional Development, Mentor, Mentee, Faculty, EngineeringIntroductionThere is a growing discourse on faculty professional development within the field of engineeringto improve pedagogical practices within engineering and to enhance students’ learning [1], [2],[3], [4]. With a major shift in technological advancements within education due to large languagemodels (ChatGPT, Claude, etc.), the focus of teaching should not only be on lecture content butalso on effective didactic approaches [5], [6]. It has been found that the classroom environmenthas a profound impact on student success and learning [7]. Additionally, there is limited literatureon transparent communication of engineering faculty with
- Conference Session
- NSF Grantees Poster Session I
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Tamara Powell Tate, University of California, Irvine; Beth Harnick-Shapiro, University of California, Irvine; Mark Warschauer, University of California, Irvine; Waverly Tseng, University of California, Irvine
- Tagged Topics
- Diversity, NSF Grantees Poster Session
California, IrvineAuthor NoteTamara P. Tate https://orcid.org/0000-0002-1753-8435Daniel Ritchie https://orcid.org/ 0000-0002-7110-8882Mark Warschauer https://orcid.org/0000-0002-6817-4416Correspondence concerning this article should be addressed to Tamara Tate, University ofCalifornia, Irvine, 3200 Education, University of California, Irvine, CA 92697. Email:tatet@uci.eduWriting and communication are crucial to engineers, taking up more than half their workinghours [1] [2]. However, too few engineers have the writing and communication skills requisitefor today’s information society [3]. Within this context, new generative artificial intelligence(AI) tools such as ChatGPT and other large language models (“AI writing tools”) pose bothopportunities and
- Collection
- 2023 Fall Mid Atlantic Conference: Meeting our students where they are and getting them where they need to be
- Authors
- Sakhi Aggrawal, Purdue University at West Lafayette (PPI); Kevin C. Dittman, Purdue University at West Lafayette (COE)
- Tagged Topics
- Diversity
, andmusic, by learning patterns from existing data [14]. This differs from other AI approaches thatfocus on tasks like classification, prediction, and decision-making. Generative AI involvestraining a machine learning model on large amounts of data to learn the underlying patterns andthen using that learning to generate new content that has not been seen before.One example of generative AI is the ChatGPT language model developed by OpenAI, which hasbeen recognized for its ability to produce text that appears to be written by humans [15]. Recentadvancements in generative AI have shown significant potential in several fields, includinghealthcare, where generative models have been used to generate synthetic medical images [16],and robotics, where
- 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
- Liberal Education/Engineering & Society Division (LEES) Technical Session 6: LEES Works in Progress
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Gary P. Halada, Stony Brook University; Lori Scarlatos, Stony Brook University
- Tagged Topics
- Diversity
- Tagged Divisions
- Liberal Education/Engineering & Society Division (LEES)
. "Beyond Colonial Hegemonies: Writing Scholarship andPedagogy with Nya ̄yasutra." Rhetorics Elsewhere and Otherwise: ContestedModernities, Decolonial Visions, 169-195 (2019).13 OpenAI, “Is ChatGPT Biased?”, https://help.openai.com/en/articles/8313359-is-chatgpt-biased14 Teboho Pitso, “Invitational Pedagogy: An Alternative Practice in DevelopingCreativity in Undergraduates”, in Booth, Shirley, and Laurie Woollacott."Introduction to the Scholarship of Teaching and Learning." The Scholarship ofTeaching and Learning in Higher Education–On Its Constitution andTransformative Potential, 2015.15 Riegle-Crumb, Catherine, Barbara King, and Yasmiyn Irizarry. "Does STEMstand out? Examining racial/ethnic gaps in persistence across postsecondaryfields
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 3
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Kwansun Cho, University of Florida; Umer Farooq, Texas A&M University; Minje Bang, Texas A&M University; Saira Anwar, Texas A&M University
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
examples forclarity and engagement in conceptually hard courses such as programming. Also, similar to priorliterature [33], this study highlights that student satisfaction is coupled with clarity andengagement with the material. AI-based Large Language Models such as ChatGPT can enhancestudents’ engagement with pre-class materials by providing interactive explanations,personalized feedback, and intelligent tutoring support tailored to individual learning needs [35].The study's results must be viewed in the light of some limitations and future directions. First,the study was based on self-reported student perceptions of two types of videos. Future studiescould consider other measures, such as time spent on each video and a performance measureafter
- Conference Session
- Design in Engineering Education Division (DEED) - AI and Digital Futures in Design Education
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Daniene Byrne Ph.D., Stony Brook University
- Tagged Topics
- Diversity
- Tagged Divisions
- Design in Engineering Education Division (DEED)
ofcomputing but nearly every field of science and human endeavor[5]”. Some in the industry haveframed them as the first steps toward Artificial General Intelligence (AGI), meaning systems thatthink more like humans in numerous ways. Like humans, AGI will have the ability to ‘think’about many things across many domains, requiring different recall of datasets and intuition.This literature survey describes how policies around responsible governance are taking shape asstrong AI technologies emerge, and public interaction with them expands exponentially. InNovember of 2022, the first generative AI (GenAI) ChatGPT, created by OpenAI, was widelyreleased to the public. Earlier versions had been in development and were tested and used foryears but the public
- 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
- ENT-8: Mentorship, Creativity, and Ethics in Academic Entrepreneurship
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Christina McGahan, Vanderbilt University; Charleson S Bell, Vanderbilt University; Deanna Meador, Vanderbilt University; Christopher Harris, Vanderbilt University; HD McKay, Vanderbilt University, Management Library; Yiorgos Kostoulas, Vanderbilt University; Kevin Galloway, Vanderbilt University; Philippe M. Fauchet, Vanderbilt University; David A. Owens, School of Engineering, Vanderbilt University; Sharon M. Weiss, Vanderbilt University
- Tagged Topics
- Diversity
- Tagged Divisions
- Entrepreneurship & Engineering Innovation Division (ENT)
in nano-makerspace, intellectual property strategy 4 Structured lab in nano-makerspace (I), case study with nanoscience entrepreneur (II) 5 Structured lab in nano-makerspace (II), team management, project idea brainstorming 6 Structured lab in nano-makerspace (III), computer-aided design 7 Project selection, identifying project value proposition and customer segment, project BMC check-in, identifying project prototype fabrication approach 8 Market landscape and customer relationships for project, library databases and ChatGPT 9 Storytelling, project BMC check-in, student-led