promoting high academicstandards and flexibility. These points underscore the need for systematic ways to measure andassess curricular complexity.Data-Driven Approaches for Quantifying Curricular ComplexityIn recent years, there has been an increased interest in data-driven approaches to studying andquantifying the complexity of engineering curricula [12]. Over the past decade, several studieshave introduced diverse methods for measuring this complexity. For instance, Roland et al. [13]analyzed curriculum prerequisite networks using a probabilistic student flow model. Theyidentified how individual courses affect graduation timelines and developed software to facilitatesimilar analyses. Meanwhile, Heileman et al. [14] proposed a network-analysis
” (PDS) [18]. The PDS measures various domains including“Professional Development Attitude” which is based upon the ABET Engineering Criteria 2000(EC2000), an accreditation criteria focused on learning outcomes rather than curriculum [19].The PDS aligns with the goals of this research and was selected to evaluate the influence oflearning coaches on professionalism among engineering students. The PDS has been validated inprior research to assess the professional development of engineering students at ClemsonUniversity and aligns with ABET EC200 criteria. While it was originally designed for broaderuniversity assessment, the modifications made in this study, which replace the focus of “ClemsonUniversity” to “Learning Coaches”, maintain the
, 2003. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/ 10400419.2003.9651403[9] E. Perignat and J. Katz-Buonincontro, J. STEAM in practice and research: An integrative literature review. Thinking Skills and Creativity, 31, 31–43, 2019. https://doi.org/10.1016/j.tsc.2018.10.002[10] Comisión Nacional de Acreditación. (2007). Criterios de evaluación para carreras de ingeniería. 07 de Marzo, 7, 1–21, 2007.[11] Abet Criteria for Accrediting Engineering Programs, 2018 – 2019. Retrieved from https://www.abet.org/[12] S. R. Daly, E. A. Mosyjowski, and C. M. Seifert. Teaching creativity in engineering courses. Journal of Engineering Education, 103(3), 417-449, 2014.[13] M. G. Holguín, A. F. Tavera, and M. B. López
paper presents the results of a survey, which explored the extent to which students’perceptions of the most and least important EPI pillars and competencies changed over asemester. Surveyed students included those enrolled in an introductory Civil Engineering course(control group), and students in two new RED integrated project-based learning courses thatwere delivered for first year and second year environmental engineering students.2. Course Descriptions2.1. RED project-based coursesOne overarching goal of implementing project-based courses in the 1st and 2nd yearof the curriculum is to motivate students with a range of skills and backgrounds to continueto pursue environmental engineering. Our project-based courses, EENV 102, Introduction
Paper ID #48147Democratizing the Analysis of Unprompted Student Questions Using Open-SourceLarge Language ModelsBrendan Lobo, University of Toronto An MASc candidate in the Integrative Biology and Microengineered Technologies Laboratory at the University of Toronto.Sinisa Colic, University of Toronto Sinisa Colic is an Assistant Professor, Teaching Stream with the Department of Mechanical and Industrial Engineering. He completed his PhD at the University of Toronto in the area of personalized treatment options for epilepsy using advanced signal processing techniques and machine learning. Sinisa currently teaches
and themes that emerged as focal pointsfor the center as communicated through their work with an industry advisory board, from the first meeting ofthe board in 1991 through the year 2024. To reiterate, the themes were found through reviewing archivalrecords of past advisory board meetings. The timeline highlights the major themes that the Leonhard Centerpursued by year. Important dates related to the Leonhard Center are also highlighted by year. Overarchingthemes included student development (SD); faculty development (FD); DEI initiatives, including genderequity and racial/ethnic equity; informing the curriculum (CUR); entrepreneurship (ENT); globalization(GLO); online programs (OP); ethics (ETH); graduate education (GE); entrance to
instruments forConnections and Creating Value.3. Methods3.1 Indirect Assessment Instrument (Survey) Description and EFA SubfactorsTwo indirect assessment instruments (surveys) were examined in this study. The Connectionssurvey has 18 items, and the Creating Value survey has 21 items [9]. The previous EFAidentified four factors for Connections including (1) Integrate Outside Information, (2) ConsiderSocial, Economic, and Environmental Factors, (3) Define Connections, and (4) MakeConnections within Engineering Design. An EFA on Creating Value indirect assessmentinstrument data was also conducted, resulting in three underlying factors: (1) Create Valuewithin Engineering Design, (2) Attitude and Approach Toward Value Creation, and (3) CreateValue for
. Taylor Parks, University of Illinois Urbana - Champaign Taylor Parks is a course development fellow in engineering education at the Siebel Center for Design. She earned her bachelor’s in engineering mechanics and master’s in curriculum and instruction from the University of Illinois Urbana-Champaign. Her research focuses on promoting teamwork in complex engineering problem solving through collaborative task design. She currently co-leads the integration of human-centered design principles within select courses across the Grainger College of Engineering.jean-charles stinville, University of Illinois at Urbana - ChampaignDr. Blake Everett Johnson, University of Illinois Urbana-Champaign Dr. Blake Everett Johnson is a
. IntroductionGenerative AI (GenAI) is reshaping education, challenging educators to reconsider what theyteach, how they teach, and how they engage and assess student learning in the classroom. Asstudents are already using these tools in their academic work at a higher rate than we expect [1],taking a proactive and forward-thinking approach to integrating GenAI into engineeringeducation is becoming increasingly important. Such an approach will not only equip studentswith the ability to critically evaluate AI-generated outputs but also encourage them to explore itslimitations and ethical and professional implications.In this case study, the authors explore the integration of two GenAI-based writing assignmentsinto a senior-level design course. The goals of this
and successes faculty experience under the scaffolded guidance of afaculty mentor. These case studies offer a window into the process of curriculum transformation,highlighting practical approaches to integrating EBIPs and providing rich, detailed descriptionsof the change process.INTRODUCTIONEngineering education is at a pivotal juncture, requiring innovative teaching strategies to meet thegrowing demand for graduates who can navigate complex problems and thrive in a rapidlyevolving workforce. Evidence-Based Instructional Practices (EBIPs), such as active learning,collaborative learning, and problem-based learning, have consistently demonstrated their abilityto enhance student engagement, comprehension, and retention [1], [2]. By shifting
as an EFL and ESL teacher as well as a School Principal. Ari’s research and language revitalization interests include Mikasuki, Salish Ql’ispe (aka Salish-Pend d’Oreille, Montana Salish, and Flathead Salish) and Safaliba. His ethnographic work documents situated practice in grassroots policy initiatives and school-based activism among the Safaliba in rural Ghana. His language documentation includes conceptual metaphors and formulaic language in Salish Ql’ispe and Safaliba. He also explores applications of task-based language teaching in the pedagogy of revitalization. His practitioner papers analyze integrated content and language instruction, academic English instruction for graduate students, and asset-based
. Sharma [6] has described the design andfabrication of a hexacopter drone made of carbon fiber frame with microcontroller-based flightcontroller. Eslami [7] used reverse engineering techniques to create a CAD model of an oldaircraft part and prototype it.This project presents a unique opportunity for undergraduate students to gain hands-on learningexperience in the design, prototyping, and fabrication of two educational fixed wing drones. Itintroduces the students to the exciting world of drone design, Reverse Engineering techniques,and the practical application of Computational Fluid Dynamics (CFD) engineering software forfluid simulation. The project also includes hands-on experience in integrating mechanical andelectrical components, providing
shiftstudents’ sense of what concerns and whose concerns to prioritize in solving an engineeringdesign problem. For instance, Rae had led several impact talks in their sixth-grade classroom,which they said helped students develop new ways of thinking about design problems: “My students learned different skillsets and mindsets depending on the type of design talk we engaged in. For example, in the impact talks students learned how to evaluate the ethics of engineering choices by considering the position of power different stakeholders have in a project and how the outcome could affect them. This is not a skill often asked of students in the regular curriculum, particularly at the elementary level.”Rae’s comments point to
construction industry. Additionally, she is dedicated to integrating cutting-edge technologies into her teaching methods to elevate the overall educational experience.Yinhai Wang, University of Washington ©American Society for Engineering Education, 2025Engaging High School Students in a DOT-Funded Summer Camp to Promote Transportation Engineering Majors and CareersAbstractNowadays, the transportation industry faces significant workforce development challenges,including an aging workforce, demographic shifts, rapid technology advancement, and a lack ofinterest from younger generations. As a result, the need for workforce development programsrelated to transportation is at an all-time high. To tackle
-solvers 4 .In this paper, we present an educational intervention that combines data science/AI instructionwith real-world data from marine robotics data collection missions in Biscayne Bay, Florida. Ourgoal is to investigate how this approach influences student engagement, learning, and motivationin AI and machine learning. We hypothesized that students would find the experience moreengaging and would show increased interest and confidence in applying data science skills,compared to learning with abstract examples. This paper presents the results of apost-intervention survey and discusses the implications of integrating real environmental data intoAI education. By shifting the focus toward educational outcomes, we aim to demonstrate howreal-world
Paper ID #47374Research Brief: Fundamental Engineering Course Instructors’ Beliefs onTest Question DesignKai Jun Chew, Embry-Riddle Aeronautical University - Daytona Beach Kai Jun ”KJ” Chew is an assistant professor in the Engineering Fundamentals department at Embry-Riddle Aeronautical University. He is passionate about teaching and research, and he strives to produce knowledge that informs better teaching. His research intersects assessment and evaluation, motivation, and equity. His research goal is to promote engineering as a way to advance social justice causes.Dr. Holly M Matusovich, Virginia Polytechnic Institute and
related to GenAIteaching and learning instruction using new AI Education model, Quest: Human Learning (QHL).Case study examples of CS pre-service teachers evaluating, developing, creating, and testingAI-assisted curriculum provide insight into how the QHL model can be applied for other STEMdisciplines and pre-service teacher education broadly.Teach@Mines’ implementation of GenAI teaching and learning education in pre-service teachereducation empowers future K-12 educators to thoughtfully and responsibly integrate GenAI intothe classroom to enhance learning experiences, support diverse learners, and prepare K-12students for the future. As GenAI advances, applying the QHL model with a focus on teachingfuture generations provides a novel pathway for
Paper ID #48830The ISP and GenAI Crossroads: A Student Crossroads Between InformationSearching and Ethics in Intro to Engineering CoursesDr. Kristina Bloch, University of Louisville Dr. Kristina Bloch is the Engineering Librarian at the University of Louisville. She received her BA in Political Science in 2009 and her MA in Curriculum & Instruction with a focus on Library Science in 2011 from Tennessee Tech University. She received her second MA with an EdS in School Administration from Bellarmine University in 2014. In 2023, she received her EdD in Leadership from the College of Education at Spalding
ofinventory, outdated guidelines, and unused resources. These issues make the lab inaccessible andineffective for both faculty and students. Without an organized system, faculty often remainunaware of available materials or how to incorporate them effectively into their teaching, whichin turn limits students' opportunities for hands-on learning.Reorganizing and cataloging the lab’s resources will improve accessibility, clarify availableteaching tools, and support better curriculum integration. This project also involves updatingoutdated manuals and introducing new, interactive physical models to strengthen students’understanding of fundamental engineering concepts. The impact of these updates will beassessed through surveys, focus groups, and grade
modern learners are educated about the risks associated with being active incyberspace and the strategies that stakeholders can use to promote cyber security education inschools [7]. Mishra discussed curriculum overcrowding, the digital divide, and varying levels ofcybersecurity awareness among educators and students. He also explored the resistance tochange within educational institutions and the lack of standardized guidelines for cybersecurityeducation [8]. Ofusori, et al. conducted a comprehensive review of use of AI in cybersecurityand offered insights into the effectiveness, challenges, and emerging trends in utilizing AI forcybersecurity purposes [9]. Ari et al. studied Integrating Artificial Intelligence into CybersecurityCurriculum and
Education, 2025 Culturally Relevant Engineering Piñata Project for Elementary-Aged STEAM Programs (PK-12) (Work In Progress)AbstractThis paper presents an innovative, culturally-relevant STEAM education approach using apiñata-inspired engineering project for elementary-aged children. Implemented in California andMassachusetts, the project aims to broaden participation in STEAM fields, particularly amongtraditionally marginalized communities. By reimagining a historical artifact through STEAMprinciples, students learn spatial visualization skills, engineering design, and 3D shapeconstruction while personalizing their learning experience to reflect contemporary culturalidentities. The curriculum, piloted in various settings
Paper ID #48226BOARD # 218: Transforming a University-Level Experiential Learning EngineeringCourse into a Comprehensive Pre-College Summer Program (Work in Progress)Nicholas Choi, University of California, Irvine Nicholas Choi is a master’s student in mechanical engineering at the University of California, Irvine. He is currently studying the impact of experiential learning in an engineering curriculum and the use of generative artificial intelligence (GenAI) in an engineering classroom.Kan Li, University of California, Irvine Dr. Kan Li is the Associate Director for the International Programs at the UCI’s Henry Samueli School
insuccessfully implementing evidence‐based teaching. Furthermore, while integrating activelearning can be challenging in any STEM field, engineering education presents an especiallyinstructive case due to its strong connections to real-world problem-solving and itsintersection with multiple scientific and mathematical domains. Because engineering studentsoften take courses in physics, chemistry, and mathematics, the broader STEM context directlyinfluences their academic journey and preparation for professional practice. Byacknowledging and addressing the complexities involved, faculty developers and engineeringeducation researchers can capitalize on active learning’s proven benefits, ultimatelyimproving teaching effectiveness and student success across
Engineering, and many years of experience teaching and developing curriculum in various learning environments. She has taught technology integration and teacher training to undergraduate and graduate students at Arizona State University, students at the K-12 level locally and abroad, and various workshops and modules in business and industry. Dr. Larson is experienced in the application of instructional design, delivery, evaluation, and specializes in eLearning technologies for training and development. Her research focuses on the efficient and effective transfer of knowledge and learning techniques, innovative and interdisciplinary collaboration, and strengthening the bridge between K-12 learning and higher education in
Culturally Relevant Engineering Design (CRED) Framework? 2. How does Serena support multilingual learners (MLs) as she teaches engineering?2. Background2.1. Engineering Design Context in Elementary EducationInternationally, there is an increasing call for greater integration of the STEM domains in PK-12classrooms, with particular attention on the incorporation of engineering concepts and practicesinto science curricula [9]. While the inclusion of engineering content and standards has increasedin STEM classrooms since the adoption of the Next Generation Science Standards [1], greaterunderstanding is needed among teachers, specifically at the elementary level, about the rationaleand intent of including engineering education, as highlighted by
with “harmful oversights” in the engineeringdesign process, often resulting in disproportionately harmful health outcomes for vulnerable andmarginalized populations [6]. Despite a growing consensus that medical device design processesmust consider health equity [7], challenges remain for faculty working to transform their BMEcurriculum. BME programs often link primary design learning outcomes to capstone courses,creating an opportunity to integrate health equity concepts into the curriculum. However,capstone courses encounter specific curricular challenges. While stakeholder engagement iscrucial in engineering design, it is difficult to facilitate community-based involvement due tooff-campus stakeholders and conflicting schedules [8,9]. There
PlatformAbstractThis paper describes the design and development of a web-based Data Science Learning Platform(DSLP) aimed at making hands-on data science learning accessible to non-computing majorswith little or no programming background. The platform works as middleware between userssuch as students or instructors, and data science libraries (in Python or R), creating an accessiblelab environment. It allows students to focus on the high-level workflow of processing andanalyzing data, offering varying levels of coding support to accommodate diverse programmingskills. Additionally, this paper briefly presents some sample hands-on exercises of using theDSLP to analyze data and interpret the analysis results.1 IntroductionData science has become a crucial
Paper ID #45663Pandemic Educational Interventions - Minimal Impact on Student Grades asa Proxy for Student LearningDr. Benjamin Michael Wallen P.E., United States Military Academy Benjamin Wallen is a Colonel in the United States Army and an Associate Professor teaching in the Department of Geography and Environmental Engineering at the United States Military Academy. He is also the Associate Dean for Faculty Development.Major Chelsea Linvill, Department of Geography and Environmental EngineeringDr. Michael A. Butkus P.E., United States Military Academy Michael A. Butkus is a professor of environmental engineering at the U.S
. Matthew West, University of Illinois Urbana-Champaign Matthew West is an Associate Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. Prior to joining Illinois he was on the faculties of the Department of Aeronautics and Astronautics at StanfoProf. Mariana Kersh, University of Illinois at Urbana-Champaign Mariana Kersh is an Associate Professor in the Department of Mechanical Science and Engineering at The University of Illinois at Urbana-Champaign, Health Innovation Professor in the Carle-Illinois College of Medicine, and Director of the Tissue Biomechanics Laboratory. She also serves as co-chair of the Integrative Imaging Theme of the Beckman Institute
Paper ID #46054The ”Ticket Home”: A Scalable Survey System for Rapidly Identifying Barriersto LearningProf. David Coulter Jangraw, University of Vermont David Jangraw received a BSE in EE from Princeton and a PhD in BME from Columbia. He then served at the NIH for six years. In that time, he studied brain-computer interfaces, fMRI methods, and pediatric mood disorders. Now an Assistant Professor of Electrical and Biomedical Engineering at the University of Vermont, he teaches data science and signal processing for engineers and runs the Grass Brain Lab. The lab uses emerging tech to understand the human brain’s response to