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Displaying results 241 - 258 of 258 in total
Conference Session
Two-Year College Division (TYCD) Technical Session 4: Curriculum and Assessment
Collection
2025 ASEE Annual Conference & Exposition
Authors
Ali Zilouchian, Florida Atlantic University; Nancy Romance, Florida Atlantic University
Tagged Divisions
Two-Year College Division (TYCD)
efficiencies, as wellas expanding the types of jobs and sectors available in the workforce. However, as with anytechnological revolution, there will also be challenges, particularly regarding the ethical use ofAI, job displacement, and ensuring that the benefits of AI are accessible to all. By understandingand preparing for these shifts, society can maximize the potential of AI for positivetransformation in the coming decades. II. AI: PAST, PRESENT & FUTURE Artificial Intelligence (AI) has various definitions. To many, AI refers to machines that think,understand language, and solve problems, and gaining popularity with ChatGPT. Scientifically,AI is a computer system capable of tasks associated with intelligence. John McCarthy and Marvin
Conference Session
ENT-5: Pathways for Developing Entrepreneurial Skills Across Educational Levels
Collection
2025 ASEE Annual Conference & Exposition
Authors
John Reap, Quinnipiac University
Tagged Divisions
Entrepreneurship & Engineering Innovation Division (ENT)
outputs from recently developed AI tools is a quite newchallenge that research communities are just now forming to address [23]. An investigation ofAI accuracy found that ChatGPT 3.5 proved, “…generally good at writing concepttopics…”[24]. One reasonably classifies a literature survey task as a concept topic, suggestingthe potential for accurate results from AI. However, this work uses Gemini 1.5 Flash, notChatGPT 3.5. Verhulsdonck and coauthors introduce a subjective means of evaluating theaccuracy of AI generated content independent of the particular tool [24]. Their HEAT method,an acronym formed from Human experience, Expertise, Accuracy and Trust, attempts tosubjectively gage AI output credibility. In this work’s contents, the H and E terms
Conference Session
Lightning Talk - Empowering Students and Strengthening Community Relationships
Collection
2025 ASEE Annual Conference & Exposition
Authors
Jose Manuel Fuentes-Cid, Universidad Andres Bello, Santiago, Chile; Maria Elena Truyol, Universidad Andres Bello, Santiago, Chile
Tagged Divisions
Community Engagement Division (COMMENG)
; Computer ScienceEngineering conducts a workshop on using ChatGPT to optimize household tasks and searchfor job opportunities; Automation and Robotics Engineering provides a workshop on homeautomation, teaching the implementation of smart technologies; finally Social Work leads awomen’s empowerment workshop, addressing strategies to enhance self-confidence anddecision-making skills.The project’s evolution has been guided by a continuous improvement approach based onsatisfaction surveys administered to program participants and the government counterpart.This feedback has allowed for adjustments and enhancements to each workshop's content,ensuring that the training effectively addresses the real needs of the women beneficiaries.This growth has
Conference Session
Engineering Libraries Division (ELD) Technical Session 3
Collection
2025 ASEE Annual Conference & Exposition
Authors
Cari Kaurloto, University of Southern California; Jane Lah, University of Southern California; Alvaro Quezada, Caltech
Tagged Divisions
Engineering Libraries Division (ELD)
promising an opportunity to participate in the raffle for a gift card. As oursurvey and recruited participants were limited to our institution and targeted populations, itshould be noted that our findings may not be applicable or generalizable to other institutions. An area for future consideration would be to include more survey questions related tostudents’ understanding and use of artificial intelligence (AI). While the survey did have onequestion related to their use of ChatGPT specifically, any future studies of students’ informationliteracy skills should include the use of AI in information retrieval and citation. This wouldhighlight a gap in understanding how students engage with AI and the ethical and practicalchallenges they might
Conference Session
Cooperative and Experiential Education Division (CEED): Assessment, Curriculum & Instructional Design
Collection
2025 ASEE Annual Conference & Exposition
Authors
Eric Dino Andrews , E.I.T., BPR Surveying; Sherin Ashraf-Hanna E.I.T., ECS Mid-Atlantic; Paul John Ackerman Jr., York College of Pennsylvania
Tagged Divisions
Cooperative and Experiential Education Division (CEED)
® Fundamentals tutorial book. When the site designcourse was first developed in 2019, the Civil 3D® tutorial book was 658 pages and 12 chaptersin length [2]. The 2024 tutorial has now grown to 986 pages, 18 chapters in length [3]. As firstyear students navigate the challenges of college life, implementing an effective lesson methodcan assist in facing challenges in time management [4], anxiety, and their overall wellbeing [5].However, not having a structured lesson approach can lead to students feeling overwhelmed andhelpless. As a result, students may turn to external resources such as ChatGPT, Chegg and onlinesearch engines. These programs can be effective as a supplemental tool for learning but shouldnot be the primary source of information for a
Conference Session
Engineering Libraries Division (ELD) Technical Session 2
Collection
2025 ASEE Annual Conference & Exposition
Authors
Laura Woods, University of Sheffield
Tagged Topics
Diversity
Tagged Divisions
Engineering Libraries Division (ELD)
time.Holly mentions “doing research” a few times throughout her interview but is vague aboutwhat this entails. When pushed for details, she describes relying primarily on Google andGoogle Scholar. She sees Google as most helpful for finding what she terms as “hard facts,”such as how an air-based cooling system works. She uses Google Scholar to find morescholarly sources to supplement her work, but finds that the language is often “veryscientific” and difficult to understand. She also mentions using ChatGPT to help explainthings in simpler terms if her tutor is not available to answer questions. She seems generallyhappy to ask questions of her lecturers and her classmates, but is reluctant to admit shedoesn’t know something in front of people she
Conference Session
Computers in Education Division (COED) Track 6.D
Collection
2025 ASEE Annual Conference & Exposition
Authors
Mitchell Gerhardt, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
. Inparticular, natural language processing (NLP) a subset of gen-AI, enables computers to quicklyparse and understand text by identifying the meaningful parts of sentences [34]. Since the releaseof ChatGPT and similar chatbots, engineering education researchers have explored diverse usecases of NLP, including for analyzing student writing and assignments, examining curriculums,research data processing, student support, and assessment [35], [36], [37]. Recent work by ourresearch group [38] has also demonstrated the potential for NLP to aid qualitative thematicanalysis by expediting the codebook generation process. Importantly, these efforts takeadvantage of how NLP handles semantically and syntactically different text by identifyingpatterns between word
Conference Session
Preparing Future Chemical Engineers
Collection
2025 ASEE Annual Conference & Exposition
Authors
Sourojeet Chakraborty Ph.D., EIT, Johns Hopkins University; Daniela Galatro, University of Toronto
Tagged Topics
Diversity
Tagged Divisions
Chemical Engineering Division (ChED)
towardsthe Society 5.0 global vision. Coupled with the use of conscious, ethical Artificial Intelligence tools (ChatGPT, JasperAI, Copilot, Gemini, etc.) and learning modalities (active/experiential/inquiry-driven, flipped-classroom, etc.) willempower students to individualize learning experiences/outcomes. However, e-learning must be supplemented byopen discussions [13], and project-based/textbook-based learning, especially for foundational subjects. Withinchemical engineering, core subjects and topics like calculus, transport phenomena, chemical thermodynamics,separation processes, and plant/process design (undergraduate capstone) must be taught through a mix of pedagogicalstrategies. Our results reveal an increase (especially since 2017
Conference Session
Computing and Information Technology Division (CIT) Technical Session 1
Collection
2025 ASEE Annual Conference & Exposition
Authors
Mudasser Fraz Wyne, National University; Alireza Farahani, National University; Lu Zhang, National University
Tagged Divisions
Computing and Information Technology Division (CIT)
Conference Session
Computers in Education Division (COED) Best of CoED Paper Session (Track 1.B)
Collection
2025 ASEE Annual Conference & Exposition
Authors
Jean Louis, University of Florida; Nadia Simone Jean Morrow, University of Florida; Juan E Gilbert, University of Florida
Tagged Divisions
Computers in Education Division (COED)
or health applications, on-device inference means datadoes not need to be transmitted to a server for processing, thus preserving user privacy. This alsosaves bandwidth and battery life [28], as transmitting and receiving are among the most energy-intensive tasks for IoT devices. Local ML models alleviate this burden, mitigate the risk of man-in-the-middle attacks, and enable customization, allowing the model to adapt to individual user needs.While highlighting the benefits of ML, we also addressed its challenges and limitations, suchas adversarial attacks, fairness concerns, and the need for explainable AI (XAI). Many students,having interacted with AI technologies like ChatGPT, were already familiar with AI’s potential forerror. However
Conference Session
Engineering Ethics Division (ETHICS) Technical Session - Student understanding
Collection
2025 ASEE Annual Conference & Exposition
Authors
Eman Hammad, Texas A&M University; Celeste Arden Riley, Texas A&M University - Kingsville; Virginia Pederson; Pierre Atieh
Tagged Divisions
Engineering Ethics Division (ETHICS)
and ChatGPT) models were used to help simplify the survey questionsto avoid complicated discipline specific jargon [32]. The LLM models were prompted torephrase the given question for target reader of an 8th grader. This level was selected based onrecommendations that 85% of a general audience understand information at an eighth gradereading level [32].The revised version was later edited by the research team to ensure alignment and consistencywith the involved disciplines (engineering, psychology) and the question intent. The studyprotocol is followed to administer the surveys to the target student population and to collect thatdata. Depending on the sample size, the proper analysis tools are used to gain insights.A. Study ProtocolThe IRB
Conference Session
Liberal Education/Engineering & Society Division (LEES) Technical Session 1: Critical Reflections on Teaching and Learning
Collection
2025 ASEE Annual Conference & Exposition
Authors
Jennifer Howcroft, University of Waterloo; Kate Mercer, University of Waterloo; Julie Vale, University of Guelph; D'andre Jermaine Wilson-Ihejirika P.Eng., University of Toronto; Stephen Mattucci, University of Guelph
Tagged Topics
Diversity
Tagged Divisions
Liberal Education/Engineering & Society Division (LEES)
with participants in my research and to acknowledge thebiases I bring. From my early struggles with homesickness in first year, to my passion foroutreach and advocacy developed through NSBE, to finally securing my first internship in theOil Sands during my master’s degree which I felt ultimately validated my identity as an engineer,my career pathway has been shaped and informed by the experiences in my undergraduatedegree. These reflections ground me in focus of my PhD research: to illuminate the factorsshaping diverse career paths in engineering and to foster environments where all students canthrive.1 The author identified she used ChatGPT as part of her writing process for this section to synthesize similar writingsshe had previously done
Conference Session
Computers in Education Division (COED) Track 3.E
Collection
2025 ASEE Annual Conference & Exposition
Authors
Oyku Eren Ozsoy, Embry-Riddle Aeronautical University - Prescott; Luis Felipe Zapata-Rivera, Embry-Riddle Aeronautical University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
published an ASEE conference paper last year on the effects of ChatGPT on student learning in programming courses. With over seven years of experience teaching Computer Science courses, she is currently a faculty member at Embry-Riddle Aeronautical University’s Department of Computer, Electrical, and Software Engineering, where she teaches computer science courses.Dr. Luis Felipe Zapata-Rivera, Embry-Riddle Aeronautical University Dr. Luis Felipe Zapata-Rivera is an Assistant Professor at Embry Riddle Aeronautical University. He earned a Ph.D. in Computer Engineering at Florida Atlantic University, in the past worked as an assistant researcher in the group of educational Technologies at Eafit University in Medellin
Conference Session
Computing and Information Technology Division (CIT) Technical Session 5
Collection
2025 ASEE Annual Conference & Exposition
Authors
James Weichert, Virginia Polytechnic Institute and State University; Hoda Eldardiry, Virginia Polytechnic Institute and State University
Tagged Divisions
Computing and Information Technology Division (CIT)
false information (“hallucination”) is usedto explore the principle of trustworthiness. First, a political campaign advertisement featuring avideo deepfake of former Pakistani prime minister Imran Khan—produced while Khan was injail—provides a counterexample to the notion that synthetic AI content is necessarily bad [23].Then, students are encouraged to try to ‘hack’ OpenAI’s large language model ChatGPT so that ithallucinates, malfunctions, or gives an inappropriate response.The first lecture concludes by asking students to subjectively rank the three highlightedprinciples—plus three others (transparency, justice and autonomy) which together summarizeFloridi and Cowl’s “Unified Framework for AI in Society” [24]—in terms of their
Conference Session
International Division (INTL) Poster Session
Collection
2025 ASEE Annual Conference & Exposition
Authors
Xinfeng Quan, Westlake University; Jing Wang
Tagged Topics
Diversity
Tagged Divisions
International Division (INTL)
were reviewed using ChatGPT 4o as asupplementary tool. When minor discrepancies were identified, the first author revised theChinese translation and discussed the changes with the colleagues until all disagreementswere resolved.In addition to the original EBAPS items, four additional questions, shown in Table 4, wereincluded to explore students’ cognitive patterns under the influence of naïve dialecticism[17].The first two items regarding attitudes toward contradictions were adapted from theDialectical Self Scale[19], an instrument designed to measure dialectical thinking. The othertwo items were created by one of the authors to represent the remaining key components ofnaïve dialecticism: the “Principle of Relationship or Holism” (item iii
Conference Session
Poster Session-Electrical and Computer Engineering Division (ECE)
Collection
2025 ASEE Annual Conference & Exposition
Authors
Md Sakib Ullah Sourav, Concordia University; Yong Zeng, Concordia University; Hua Ge, Concordia University; Ali Akgunduz, Concordia University
Tagged Topics
Diversity
Tagged Divisions
Electrical and Computer Engineering Division (ECE)
Conference Session
Computers in Education Division (COED) Track 2.B
Collection
2025 ASEE Annual Conference & Exposition
Authors
Sean P Brophy, Purdue University at West Lafayette (COE); Fadhla Binti Junus, Purdue Engineering Education
Tagged Divisions
Computers in Education Division (COED)
instance, a study by Escalante et al. (2023) [6] examined the learning outcomes ofuniversity students receiving feedback from ChatGPT (GPT-4) versus human tutors. Thecommon feature of these students was English is a New Language (ELN). The resultsindicated no significant difference in learning outcomes between the two groups, suggestingthat AI-generated feedback can be effectively incorporated into writing instruction. Otherstudies provide similar results within STEM learning environments. A recent systematicliterature review [7] identified 6 common categories of AI methods used in education from2011-2021. This work highlights the complexity and opportunities of the rapidly evolvingtechnology and how it can be integrated into learning environments
Conference Session
Civil Engineering Division (CIVIL) Poster Session
Collection
2025 ASEE Annual Conference & Exposition
Authors
Andrew Paul Summerfield, Wentworth Institute of Technology; John Peter Voccio; Wenye Camilla Kuo-Dahab, Wentworth Institute of Technology; Brian Ernst, Wentworth Institute of Technology; Chris Bode-Aluko, Wentworth Institute of Technology
Tagged Divisions
Civil Engineering Division (CIVIL)