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
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
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
workflow transformstraditional engineering instruction into a dynamic and interdisciplinary storytelling experience centeredaround KEEN’s 3Cs: Curiosity, Connections, and Creating Value.The paper documents implementations, the author’s reflections, and outcomes from AI-assisted contentcreation projects within the IEEE Pikes Peak Section and associated outreach efforts. It also analyzeshow this method enables its section members (and students) to articulate technical concepts, buildinterdisciplinary bridges, and produce content that resonates with diverse audiences—from middle schoollearners to industry stakeholders.By situating this work within the broader context of KEEN initiatives and the ASEE’s mission to advanceengineering education, this
, 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
program the following year.Program evaluation results show that the programs were successful in reaching a diverse groupof community college students and that participation in the programs increased students’ beliefthat they could be successful in a STEM field, conduct research, and analyze scientific data. Bothstipends and research experiences were rated as important aspects of the program. The MNT-CURN to START model demonstrates how a longitudinal approach to undergraduate researchprepares students for research projects of increasing complexity and leads to more impactfuloutcomes for the students and success in retaining community college students in STEM. In thispaper, we report on practices employed in the MNT-CURN and START programs as well
amcadams@bridgeport.eduAbstract— The integration of Artificial Intelligence (AI) Keywords—artificial intelligence; industry 5.0; automotiveinto engineering design presents a transformative engineering; design optimization; business strategy; educationopportunity to optimize processes, enhance outcomes, and and trainingreduce costs. This paper examines the application of AIthrough a design project from within the automotive I. INTRODUCTIONindustry, focusing on a “blank sheet” design approach for amanifold system. Utilizing AI, the project aims to not only In today’s rapidly evolving technological landscape, the
Psychological Association (APA), Division 17 (Counseling Psychology) of the APA, and the Society for Vocational Psychology. His work has been recognized by Divi ©American Society for Engineering Education, 2025 NSF Project #2000607/2000636 Report of a Survey of Early Career Latinx Engineers: Trends across 3 Years in Perceptions of the Workplace, Social Cognitions, Job Satisfaction, and Turnover Intentions Lisa Y. Flores Rachel L Navarro
the PIs for each SO, the selected courses, and evaluationmethods such as exams, projects, and rubrics. PIs were assessed using rubrics on a 1–4 scale(Novice to Exemplary), with a benchmark of 2.8 (70%) set for achieving each PI within its SO,ensuring alignment with ABET standards.The report provided a detailed breakdown of assessment results for each SO, including tablesand figures illustrating ratings across courses. It highlighted strengths, identified challenges, andoutlined targeted improvement plans, such as refining course content, enhancing teachingmethods, and incorporating more hands-on activities, analytical problem-solving approaches, andsupplemental sessions. Appendix H presents assessment benchmarks for each SO and
from Ristenpart andKuhl [1] and this module was adapted from several labs in that book. Hands-on labs connectingchemical engineering to everyday processes, such as coffee, have been shown to increaseengineering skills [2] and spark curiosity about engineering [3]. In addition, an introduction toengineering course based entirely on coffee has motivated students to declare a chemicalengineering major [4].Project ApproachCurriculum DesignThe module consists of four 1.25-hr labs. In the first lab, students brew coffee with one of fourdesignated methods: French press, cowboy, pour-over, and Clever Dripper. Then, they brewcoffee again, changing one of the following parameters: temperature, brew time, coffee/waterratio, or grind size. Students
GIFTS: Building Empathy and Conflict Resolution Skills: A Role-Playing Activity for First-Year Engineering TeamsIn this GIFTS paper, the author presents a role-playing activity designed to help participantsnavigate challenging yet common team situations in first-year engineering design courses. Thisactivity has been used for faculty professional development, teaching assistant training, orin-class student engagement to improve teamwork and conflict resolution skills.This activity was developed in response to troubling feedback from some students that they hadvery negative experiences in first and second-year courses due to team projects and associatedteam conflict. The author met with multiple students in the 2023
) on the videos 5 Show and explain specific/often overlooked jobs 3 Interview workers who have experience with this profession 3 Talk specifics about education expectations for a variety of career options 3 Include more background information on the projects in the videos 3 Include more visual effects Effective 14 Videos explained construction processes and represented the profession well Area 10 Brought awareness to construction’s role in everyday aspects of life 9 Interviewing "doers" on the I-269 was well-received & showcased diversity 9 Educates the public
grant funding or industry partnerships.Dr. Kinnis Gosha, Morehouse College Dr. Kinnis Gosha (Go-Shay) is an Assistant Professor in the Department of Computer Science and Director of the Culturally Relevant Computer Lab at Morehouse College. Dr. Goshaˆa C™s research interests include conversational agents, social media data analytMrs. Talia Capozzoli Kessler, Georgia Institute of Technology Talia Kessler, MSPP is a research associate at The Center for Education Integrating Science, Mathematics, and Computing (CEISMC) at Georgia Tech. As a research associate, she works on research and evaluation projects centering on K-12 STEM education. She has a Master’s degree in Public Policy from the Georgia Tech and is currently
education, andfuture research should explicitly explore this hypothesis.As noted by Perez and Verdin [13], the 12 articles included in the systematic review appliedmastery learning to a variety of assessments instruments, including: (1) mid-term exams; (2)final exams; (3) quizzes; (4) homeworks; and (5) projects. In contrast, the articles referenced inTable 1 only apply mastery learning to formative quizzes and homework’s (which may includeboth written homeworks solving problems or written homeworks that include lab reports). In thearticles referenced in Table 1, traditional summative assessment is applied to quizzes, exams, andprojects. The points available to earn a final grade of a “B” or an “A” through the completion ofoptional, traditional
- ware engineering, data analysis, machine learn- ing, project management, customer service Position Level Job position level Mid, Entry, Senior Certifications Professional certifications Google Analytics Cer- tified, Certified Scrum Master, AWS Certified
assess the responses to physical and environmental stimuli. In this project, he will lead multimodal behavioral data collection, processing, and analyses to assess children’s learning and affective behaviors. ©American Society for Engineering Education, 2025NSF ITEST: A Data-Driven Approach to Understanding ComputationalThinking in Children: Embodied Learning with Augmented Reality and aSocial Robot1. IntroductionComputational thinking plays a vital role in the development of young children, serving as a keybuilding block for their academic and cognitive growth [1]. It is a structured way of problem-solving that involves breaking down tasks, recognizing patterns, developing logical sequences,and finding
Constructivism and Mental Models theory, he examines collaborative approaches to systems thinking. As part of his research assistantship, he contributes to projects aimed at improving doctoral engineering student retention, advisor relationships, and laboratory transitions, enhancing graduate student success and academic experiences.Maxell Lumbera, Purdue University at West Lafayette (COE) Maxell Lumbera is a PhD student at the School of Engineering Education at Purdue University. He holds a Master’s and Bachelor’s degrees in Civil Engineering from the Institute of Civil Engineering, University of the Philippines Diliman. His current research focuses on engineering instructors’ experiences in implementing pedagogies in their
Quarterly.Taylor Alexis Hobbs, Embry-Riddle Aeronautical University - PrescottChanel Davis, Embry-Riddle Aeronautical University - Prescott Chanel Davis is a junior aerospace engineering student at Embry-Riddle Aeronautical University in Prescott, Arizona. She is a Patti Grace Smith Fellow and a Brooke Owens Fellow, with internship experience at BryceTech and United Airlines. Chanel’s research focuses on equity in engineering education, emphasizing increasing representation and access in software and computer engineering. Her previous research on improving belonging and inclusion in group projects is now being implemented in all introductory engineering courses at her university. She has presented her work at the National
technical competency at the expense of emotionalintelligence and collaborative skills. This imbalance becomes problematic in project-basedlearning environments, where team dynamics and communication skills significantly influenceoutcomes [9]. Studies of diverse technical teams suggest that enhanced emotional and socialcompetence contributes substantially to group performance and innovation [10].AI Education and Universal DesignWe describe AI education as using intelligent systems in teaching and learning. AI can serve as apedagogical tool or as the object of study. We focus on AI education as learning about thedevelopment and application of artificially intelligent software - not only learning with AI butalso about AI.The emergence of AI
transform and democratize engineering education by exploring ways of thinking, identifying effective professional development approaches, and uncovering pedagogical techniques to enhance students’ engineering curiosity, engagement, and learning.Dr. Cathy P. Lachapelle, STEM Education Insights Cathy is particularly interested in how collaborative interaction and scaffolded experiences with disciplinary practices help children learn science, math, and engineering. Her work on STEM education research projects includes design, evaluation, and effiDr. Kenneth Reid, University of Indianapolis Kenneth Reid is the Associate Dean and Director of Engineering at the R. B. Annis School of Engineering at the University of
Paper ID #48426The Voices of Our Students: Developing a Student Opinion Survey and Processto Support a Healthy STEM Educational EcosystemNicholas Rabb, California State University Los Angeles Nicholas Rabb (he/him) is a postdoctoral researcher in the College of Engineering, Computer Science and Technology at California State University, Los Angeles, where he is working on the NSF-funded Eco-STEM project. He completed his PhD at Tufts University in the areas of computer science and cognitive science, contributing to the development of quantitative models and tools used to study the influence of news media on adoption of