preliminary results highlight several benefits for faculty and students. Faculty membersnoticed an improvement in their teaching strategies after receiving feedback from studentpartners, leveraging the quality of their classes. For example, Dr. Luna Rivers mentioned thatZoe’s suggestions helped her adopt a more proactive behavior toward change whenever shenotices a need for improvement, helping her to understand student perspectives better. As a resultof the student partnership, Dr. Clarke could see better group accountability during projects andfound his lectures more engaging. Faculty also reported moving around the classroom more andadding more active elements to their sessions. From a student participant’s standpoint, they felttheir confidence
Engineering Education (WIP)AbstractThis Work-in-Progress (WIP) report outlines the development of the Structural Learning Lab, aninteractive learning center designed to enhance student engagement and improve comprehensionof complex civil engineering concepts. The project focuses on reorganizing existing resourcesand integrating new physical models, including the Load Path Explorer and the Flex Frame, toprovide students with tangible, hands-on representations of theoretical content. These modelswill be incorporated into civil engineering courses to deepen understanding of key topics such asload paths, construction sequences, and structural deflections.The lab addresses a critical need in civil engineering education
timemanagement support can aid in project management. This study presents acomparison between two approaches to a horse clamp design project. Oneproposal follows the traditional design process, including defining requirements,conducting research and literature reviews, generating concepts, selectingsolutions, developing designs, prototyping, and testing. The other proposalincorporates the use of ChatGPT at various stages of the design process. Differentprompts will be applied at each step, and their impact on the process will berecorded and compared. The full paper will provide a detailed comparison of thetwo approaches, evaluating the feasibility and effectiveness of incorporatingChatGPT into mechanical design education.IntroductionMechanical design is
Coast University. ©American Society for Engineering Education, 2025 Empowering Student Success in Emerging Technologies through S-STEM Scholarships, Mentorship, and Workforce DevelopmentAbstractThe Rebooting through EmTech Programs (REP) project addresses the critical shortage ofskilled professionals in emerging technology (EmTech) fields by focusing on increasing STEMdegree completion among low-income and underrepresented students, particularly in high-demand areas like data analytics, cybersecurity, and information systems technology. MiamiDade College, a large, diverse, Hispanic-Serving Institution, is well-positioned to lead thisinitiative, particularly as EmTech job opportunities in Miami-Dade County
importance ofGD to future industry practices is not yet reflected in the curricula being taught to the nextgeneration of engineers. Thus, the motivation of our multi-institutional project is to define anddisseminate Generative Design Thinking in three research gaps: design thinking and designcognition to explore high/low-level cognitive behavior during GD, design education to createand test materials to teach GD, and developing GD tools and methods.Design Thinking and Design CognitionThe first areas that our research addresses are to explore design thinking and design cognitionrelevant to GD. First, we devise and present the Paradigmatic Design Thinking Model whichnovelly defines design thinking as being situated within three factors, each with a
Dourado1 , Christian Zuniga-Navarrete2 , Alvin Tran3 , Luis Javier Segura2 , Xiaomei Wang2 , and Campbell Bego4 1 Mechanical Engineering, University of Louisville 2 Industrial Engineering, University of Louisville 3 Computer Science and Engineering, University of Louisville 4 Engineering Fundamentals, University of LouisvilleAbstractThis work-in-progress focuses on the completed Phase 1 of a funded NSF-IUSE project employ-ing explainable machine learning (ML) models to predict engineering attrition while identifyingmalleable factors for individualized targeted
remainingflexible and relevant in many contexts and classes [13], [14]. Unfortunately, numerous criticismsand questions have been raised by practitioners and academics alike about case-based pedagogy[17], [18], [19], [20], [21]. Several key critiques conclude that discipline-specific topics can failto teach relevant ethical knowledge [17], [20], successful implementation depends heavily on theskills of the instructor [18], [19], [21], and that cases can deflect complexity in engineeringpractice [14], [17]. Despite the long history of case-based engineering ethics training, we are stillstruggling to develop undergraduate engineers who can identify real ethical challenges inengineering [1], [2], [9].Moving beyond traditional case-based pedagogy, this project
Affairs at California Polytechnic State University, San Luis Obispo. He is Lead Principal Investigator for the NSF-funded California State University Alliance for GraduateProf. Dominic J Dal Bello, Allan Hancock College Dom Dal Bello is Professor of Engineering at Allan Hancock College (AHC), a California community college between UC Santa Barbara and Cal Poly San Luis Obispo. At AHC, he is Department Chair of Mathematical Sciences, Faculty Advisor of MESA (the Mathematics, Engineering, Science Achievement Program), has served as Principal/Co-Principal Investigator of several National Science Foundation projects (S-STEM, LSAMP, IUSE). In ASEE, he is chair of the Two-Year College Division, and Vice-Chair/Community
PD to both teach and encourage students to appreciate, understand, and perhaps,identify with engineering.To empower elementary school teachers for a strong and diverse future energy engineeringworkforce in Montana, we aimed to recruit pre- and in-service elementary teachers (grades K-5)from Montana’s rural and reservation communities to participate in an NSF RET Site housedwithin the Montana Engineering Education Research Center (MEERC) at Montana StateUniversity (MSU) in Bozeman, MT. The MEERC RET Site leveraged both existing and newpartnerships formed throughout the three-year project to provide teachers with researchexperiences in the wide array of energy-related research at MSU. Through this experience,teachers created culturally
complexity and high-throughputmeasurement approaches lead to massive “big data” sets, often with thousands of heterogeneous values[6]. This complexity requires data science tools such as data-driven modeling [7-8] and machinelearning [9-10] to appropriately integrate heterogeneous data [11]. It is imperative to train a diverse newgeneration of scientists in the concepts and practice of multi-scale systems bioengineering andbiomedical data sciences (BDS) research. Within the biotechnology sector and academia, demand forgraduates who possess expertise in the analysis of high-throughput data, as well as the modeling skillsneeded to analyze pathological states and identify viable therapies, has increased dramatically [5].NSF Project and MethodologyTo
presentation in person.All developed content materials are reviewed by the Curriculum Committee, which consists ofone faculty member and one graduate student from each university partner and chaired by theEducation Director. Once materials have been vetted by the committee and updated, they areshared among all partners and more broadly disseminated through various national outlets andthe CBBG curricula website.Cross-Partner Educational Opportunities - CBBG fosters educational opportunities throughcollaborations across partner institutions, non-CBBG universities, industry, and primarilyundergraduate and foreign institutions on publications, outreach, and curricula. Students andfaculty collaborate on joint projects, share expertise through virtual
the other hand, in theworkplace, engineering involves solving complex problems using practices oftenunderemphasized in the university setting such as collaborating in teams, learning from failure,and making trade-offs [1], [2], [3], [4]. In this project, we developed an industrially situatedphysical and virtual laboratory which engages students in practices more representative of theengineering workplace.We take a sociocultural orientation that positions student learning as participation in valueddisciplinary practices as opposed to the more traditional stance which positions learning as theacquisition of discrete knowledge and skills [5], [6], [7], [8]. This framing follows the ‘practiceturn’ in the learning sciences which calls for students
lower beliefs about their abilities to understandengineering and do well in engineering courses. Summative assessments may place the focus incourses on grades over growth and reinforce a static mindset of who can become an engineer [7].Additionally, content rooted in conventional engineering applications can cause students to feelless motivated or disconnected from the major due to a difference in interests within the field.Alternatively, many general first-year courses have integrated active learning or design-basedpedagogies [8]. However, these courses are typically focused on general engineering and oftenhave large enrollments. Additionally, design projects in these courses are often mechanical orelectrical engineering focused as those
undergraduate research opportunities. Her education includes a B.S. in Geology from North Carolina State University, a M.S. in Geological Sciences from East Carolina University, and a Ph.D. in Geological Sciences from The Ohio State University. ©American Society for Engineering Education, 2025 Shaping Environmental Attitude and Behavior Through Academic Interventions ABSTRACT This paper presents four years (2021-2024) of data from a study that aims to understandengineering students' environmental awareness and pro-environmental behavior at differentlevels in a prominent HBCU. Through extensive surveys developed as part of this project
and the design and development ofnew approaches to engineering education and training. RFE PIs have existing expertise ineducation or social science research. This program has no deadline. CAREER projects may besubmitted to the RFE program using the guidelines and deadline provided in the solicitation. ThePFE: Research Initiation in Engineering Formation (PFE: RIEF) program supports engineeringfaculty that aim to develop expertise in conducting research on engineering education through amentored research project. Principal Investigators are expected to have limited experienceconducting education or social science research. The IUSE/PFE: Revolutionizing EngineeringDepartments (RED) program supports the design of new approaches to engineering
University. His recent courses focus on foundational engineering subjects, including statics, project design, and computational problem-solving. Prior to his academic career, he worked as a engineer in the maritime construction industry, specializing in hydraulic sediment transport modeling and geotechnical analysis. ©American Society for Engineering Education, 2025 WIP: Computation and Student Engagement in First-Year EngineeringAbstractOur WIP describes an exploratory quasi-experimental study to determine if first-yearengineering students' academic motivation and engagement could be improved using WebTA.WebTA is a "code critiquer" to assist novice programmers in
Paper ID #46521Which undergraduate student activities develop specific career and leadershipskills for Black vs non-Black engineering graduatesD’Andre Jermaine Wilson-Ihejirika, University of Toronto D’Andre Wilson-Ihejirika is currently a PhD candidate at the University of Toronto within the Institute for Studies in Transdisciplinary Engineering Education & Practice (ISTEP). Prior to that she worked for many years as an engineer and project manager in the Oil & Gas industry. She is originally from Nassau, Bahamas, and completed her B.Eng in Chemical Engineering at McGill University and her MASc. from the Centre
Paper ID #46931”What you bring matters”: A Comparative Case Study of Middle SchoolEngineering Teachers’ Pedagogical Content Knowledge (Fundamental)Dr. Jessica D Gale, Georgia Institute of Technology Dr. Jessica Gale is a Research Scientist II at Georgia Tech’s Center for education Integrating Science, Mathematics, and Computing (CEISMC). Her research focuses on project-based learning, STEM/STEAM integration at the elementary and middle grades levels, curriculum development and implementation, and design-based implementation research.Dyanne Baptiste Porter, Georgia Institute of Technology Dyanne Baptiste Porter is a
each week. Preliminary findings on the firstimplementation might shed light on implementation issues in undergraduate engineeringeducation.Research ContextAs previously stated, we piloted this case study in a yearlong multidisciplinary engineeringdesign course. The multidisciplinary engineering design course is a two-semester sequencewhere teams of students from multiple engineering subdisciplines and varying academic levelsare engaged in design challenges with project partners from medicine, industry, or the socialsector. For the Fall and Spring 2024-25 semesters, there were 31 students enrolled split intoteams of 3-4 each, resulting in 8 teams. The course has two faculty instructors and a projectpartner for each team (8 total). Students go
until after the first year. Thus ENGR 111 is an ideal first-year supplement to impending coop experience(s). Accordingly, course development,implementation, maintenance, and modification have continuously been conducted with aprimary objective to provide support and context for the aforementioned requisite gatewaycourses and to provide more substantial engineering-related experiences [10]. Use of thesestrategies has been shown to improve retention of students in engineering fields [25], and ENGR111 employs such methodology. ENGR 111 also employs various forms of active learning,including collaborative, cooperative, problem-based, project-based, and discovery-basedlearning. Studies have shown that an active learning environment produces strong
, Construction, and Planning from the University of Florida in 2010. Dr. Wu’s teaching interests include Construction and Engineering Graphics, Design Visualization, Design-Build Project Delivery, Building Information Modeling (BIM), Advanced Planning and Pre-construction, and Construction Management Senior Capstone. He received the 2018 Teaching Excellence Award of the Associated Schools of Construction (Region 7) and the 2019 Provost Award in Innovation from Fresno State. Dr. Wu’s research focuses on BIM, educational technology, extended reality (XR), and construction and engineering education. He has published more than 70 articles and conference proceedings in these areas. Dr. Wu’s research has been funded by regional and
step in a two-year study to determine scaffolding techniques thatwill enrich the learning experience of undergraduate students in chemical engineering with respectto selected TCs in undergraduate statistics. The long-term goal of the project is to formallyinvestigate factors that contribute to student engagement, learning, and performance inundergraduate engineering courses. Few studies address evidence-based design of computationalnotebooks for engineering courses [14, 15]. In this project, we explore computational notebooksas a scaffolding tool to help students develop a skillset they can translate to different workingenvironments beyond their undergraduate education. Our curricular innovation intends tosystematically design and assess
member in both the College of Engineering and Computer Science and the College of Science at FAU. Her research interests include understanding and designing curricular models to advance meaningful learning in complex domains and the role of socio-psychological factors in student academic success in STEM fields. She is currently Co-PI on several major NSF grant projects (e.g., NSF S STEM, NSF Cybercorps SFS, and NSF RAPID). She is PI on FAU’s Title III Hispanic Serving Institution (HSI) STEM Articulation grant project with two large, urban community colleges. ©American Society for Engineering Education, 2025 Advancing AI Education: Curriculum Development in Florida's Two-Year State
seeks to make classrooms more equitable. To get more ideas for demonstrations and how to introduce themes to your classes, check out his YouTube Channel (search Dr. Anthony Battistini) and his other ASEE conference papers.Dr. Mohammad Shafinul Haque, Angelo State University Associate Professor (Mechanical Engineering) at Angelo State University. He teaches fundamental and upper-level mechanical engineering courses including Senior Design. He enjoys interactive teaching with hands-on project-based learning and Hands-on Experiential Learning Modules for Engineering Mechanics.Dr. William A Kitch P.E., Angelo State University Dr. Kitch is Professor and Chair of the David L. Hirschfeld Department of Engineering at Angelo
Paper ID #46526Integrating Engineering Design and Robotics in Pre-College Education: AHands-On Approach with Lego Robotics (Resource Exchange)Prof. Norman H Philipp P.E., Ed.S., Pittsburg State University Norman Philipp is a licensed engineer and a tenured faculty member at Pittsburg State University in the College of Technology with over 12 years of experience in higher education, specializing in pre-college STEM outreach and innovative engineering education. As the co-coordinator of the Adventures in Robotics program, Prof. Philipp focuses on hands-on, project-based learning that engages middle and high school students in
-school participants as part of the [Program name]. The curriculum aims to create a holistic impression of the rising semiconductor and microelectronics ecosystem, building basic capacities and skills to develop a more competent future workforce in the US. The content is organized into 5 units integrating electronics, design, and social awareness. We adopt a STEAM education approach to emphasize the life cycle of microelectronics. In the last two days of the program, the participants integrated their learnings through a design project using microcontrollers to address social needs. Three units are included in this exchange.Unit 1: Introduction to Circuits (Not included)Unit 2: The micro:bit Shuffle – Intro to Microcontrollers
Electrical Engineering from Shiraz University Iran, and M.S.E, Ph.D. degree in ElectricalHamed Nademi is an Assistant Professor of Electrical Engineering at California State University-San Marcos (CSUSM). Prior to joining CSUSM, Dr. Nademi served as an Assistant Professor at the New Mexico State University and prior to that he was Research Scientist at Rensselaer Polytechnic Institute (RPI), Troy, NY. He worked as PI/Co-PI with industry-sponsored projects granted by New York State Energy Research & Development Authority (NYSERDA) together with utility companies focusing on control schemes development, autonomous digital power grids and transportation electrification. Dr. Nademi has been a PI on the DOE Marine
, fostering public understanding and appreciation of physics. This project demonstratesthe educational potential of combining aesthetics with engineering principles, creating accessiblepathways for learning. The first TGFM, Chaosmosis: Assigning Rhythm to the Turbulent,premiered in 2023 at the National Academy of Sciences museum in Washington, DC. Ittransformed fluid dynamics into an interactive and immersive experience through photographs,videos, sculptures, and sound installations. These works, created by both scientists and artists,challenge conventional teaching methods by sparking curiosity and encouraging interdisciplinarythinking. The second TGFM, Spiraling Upwards, was showcased at the Leonardo Museum in SaltLake City, UT, in 2024. The
University of Athens in 2007. Shortly thereafter she moved to the United States to pursue graduate studies at the University of Florida. She graduated with a M.S. in CE in 2009 and a Ph.D. in 2012. Dr. Michalaka is passionate about teaching in college and K-12 levels and conducting research in both transportation engineering, focused on traffic operations, congestion pricing, and traffic simulation, and engineering education. In 2020, she also obtained a Master of Science in Project Management from The Citadel. ©American Society for Engineering Education, 2025 Generative Artificial Intelligence for Enhanced Engineering Education; Strengths, Challenges and ValidationPooya Niksiar
1.Decades of research support educational practices that show promise toward bridging this gap.For example, perceptions of the relative importance of technical and professional skills from firstyear to senior year can be influenced by experiences in co-ops, internships, project-basedlearning activities and participation in engineering extracurricular activities [7]. Guidance forinstructors and program leaders also spring from program outcomes (e.g., ABET) such as Patrickand colleagues’ [8] set of specific elements of engineering practice. Thus, the responsibility fordeveloping accurate perceptions of the engineering profession begins with engineering educationprograms, then transfers to students as they pursue opportunities for authentic