Engineering at Iron Range Engineering in the Department of Integrated Engineering at Minnesota State University, MankatoDr. Justine Chasmar, Minnesota State University, Mankato Dr. Chasmar is a professor for Iron Range Engineering’s Bell Program through Minnesota State University, Mankato. She teaches self-directed learning classes for the professionalism curriculum, one of the three pillars of the Bell Program. Dr. Chasmar earned a Ph.D. in Engineering and Science Education and M.S. and B.S. in Mathematical Sciences from Clemson University. She is a STEM educator, practitioner, and scholar. Dr. Chasmar spent the last decade serving in and directing learning centers. Most recently, Dr. Chasmar served as an Assistant
: Agile Methods Coupled with Project Based Learning to Train Mechanical Engineers in the Era of Industry 4.0AbstractAs the Industry 4.0 revolution reshapes manufacturing, design, and engineering processes, therole of mechanical engineers is expanding beyond traditional boundaries. Since mechanicalsystems are increasingly interconnected with digital technologies, training the next-generationmechanical engineers in Internet-of Things (IoT) programming and software engineeringmethodology is critical for meeting industry demands. However, these critical skills are oftenmissing in traditional mechanical engineering curriculum. To address this challenge, we havemodernized our curriculum by integrating IoT technologies and software
discussed inthe documents and how the findings can be used to integrate AI ethics into engineering education.3 Overview of AI Policy Documents3.1 US’s Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American PeopleThe ”Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People” [23],hereafter mentioned as the AI Bill of Rights, is a white paper published by the White House Office ofScience and Technology Policy (OSTP) in October 2022, outlines five principles intended to guide theethical and responsible development and use of automated systems in the United States. While it is not anofficial policy document, it seeks to protect the American public from potential harms arising
] Mondisa, Joi-Lynn, Becky Wai-Ling Packard, and Beronda L. Montgomery. "Understanding what STEM mentoring ecosystems need to thrive: A STEM-ME framework." Mentoring & Tutoring: Partnership in Learning 29.1 (2021): 110-135.[2] Lisberg, Anneke, and Brett Woods. "Mentorship, mindset and learning strategies: An integrative approach to increasing underrepresented minority student retention in a STEM undergraduate program."Journal of STEM education 19.3 (2018).[3] Kumar, Amruth, M. Doyle, V. Hong, A. Joshi, S. Kurkovsky and S. Rollins, "Helping Academically Talented STEM Students with Financial Need Succeed," 2021 IEEE Frontiers in Education Conference (FIE), Lincoln, NE, USA, 2021.[4] Cabrera, A. F
,in laying the groundwork for engineering interest. While early exposure often occurs throughengaging, hands-on activities, they are rarely framed as part of the engineering discipline. Withsupport from curriculum designers and educational leaders, elementary teachers can enhancestudents’ STEM learning by integrating basic engineering vocabulary and explaining whatengineers do in developmentally appropriate ways. As prior studies suggest, elementary school isa critical time for developing students’ interests [10], making it an ideal time to introduceengineering as a subject and a future career pathway. Empowering teachers with simple languagecues, accurate career context, and institutional support can help students develop theirengineering
the Department of Learning and Instruction at the University at Buffalo. Her research lies at the intersection of language and STEM education, with a focus on equity, bi/multilingualism, and identity in community-based learning environments. She studies the linguistic practices of youth in STEM learning contexts, examining how their participation, meaning-making, and identities are represented through their languaging. Fatemeh brings to this work an academic background in language and literature, along with over a decade of teaching experience.Stacy M Scheuneman, University at Buffalo, The State University of New York Stacy is a doctoral student in Curriculum, Instruction and the Science of Learning at the UB Graduate
educational programming. Her research and evaluation has focused on educational programs, outreach and collective impact activities that foster inclusion and equity in computing and engineering. College student development and faculty career development are central themes across her body of work, which focuses on focus on capacity building in research and evaluation, organizational change in STEM education, and integration of computing into pedagogy.Dr. Praveen Ramaprabhu, University of North Carolina at Charlotte Praveen Ramaprabhu is a Professor of Mechanical Engineering & Engineering Sciences at UNC Charlotte, where he heads the Laboratory for Multiscale Computational Fluid Dynamics (LMCFD). Starting with his
pursuing a B.S. in Chemical Engineering with a minor in Humanitarian Engineering at The Ohio State University. Involvement includes working as an Undergraduate Research Associate and Lead Undergraduate Teaching Associate for the Fundamentals of Engineering Program within the Department of Engineering Education. Research interests focus on sense of belonging, concept mapping, instrument content validation, and metacognition.Sydney Cooper, The Ohio State University Sydney Cooper is pursuing her B.S. in Biomedical Engineering at The Ohio State University. She is involved in the Department of Engineering Education as an Undergraduate Research Associate. Her research interests include inclusion in engineering.Dr. Krista M
Paper ID #48073Exploring Engineering Perceptions Among First-Year Undergraduate Studentsfrom Low-Income Schools: A Mixed Methods StudyJames Finn Morton, University of Georgia Finn Morton is an undergradute student at The University of Georgia. He wrote this paper because of his past experiences with his high school. Finn loves to swim, go to the gym, and take naps in his free time.Taiwo Raphael Feyijimi, University of Georgia Taiwo is a highly skilled AI Engineer, Researcher, and Doctoral Student at the University of Georgia who completed his MS in Electrical and Computer Engineering in the College of Engineering. He is
results from our National Science Foundation (NSF) grantentitled Elementary Teacher Professional Learning in Equitable Engineering Pedagogies forMultilingual Students. This project works with third grade teachers of emerging multilingualstudents to integrate translanguaging practices into their classrooms as well as engineeringlessons. Preliminary results of our teachers' learning and growth as teachers of engineering canbe found in other papers [1], [2], [3]; this paper focuses on a major goal of our project, asustained professional learning experience model for elementary school teachers.IntroductionThe United States has and will continue to have an increase of English language learners, oremerging multilingual students, in elementary school
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
. 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