revolutionize and and Dresner (2001) suggests the following: “It has been lessen the ecological effects at low cost. Regulations also suggested that suppliers can help to provide valuable ideas include export countries by giving tax reductions to used in the implementation of environmental projects, but encourage green practices. One example of the regulations they generally do not act as a direct driving force” [31]. in the US is the California Transparency in Supply Chains Thus, suppliers are not considered as a key driver; Act (2010), which requires companies to unveil their however, they have a very important role when it comes to
. Mortazavi-Asl, Q. Chen, U. Dayal, and M.C. Hsu, “ [17] Salfner, Felix, Maren Lenk, and Miroslaw Malek. "A survey of online FreeSpan: Frequent Pattern-Projected Sequential Pattern Mining,” Proc. failure prediction methods." ACM Computing Surveys (CSUR) Vol 42, ACM SIGKDD Int’l
, making, while business training might prioritize and self-directed learning. Incorporating tools like AI- scenario-based leadership, risk assessment, and assisted personalized learning or experiential projects strategic thinking; bridges abstract concepts with practical significance. These approaches promote motivation and ownership o Public libraries, community centers, and online of learning while reinforcing the development of platforms can host free workshops on digital higher-order thinking skills vital in the modern world. literacy, critical thinking, and cybersecurity awareness to
of the instructor was shared withthe distance learning students and at the same time, was projected to the classroom monitors forthe in-person students. The virtual room audio was connected to the classroom audio system sothat the distance learning students could hear their in-person peers speak during the class andvice versa. In addition to the classroom audio-visual technology, the real-time chat functionalityof the virtual room was used to interact with the distance learning students in a more efficientway. An experienced graduate teaching assistant (GTA) moderated the chat throughout the classand answered most of the questions from the distance learning students. If any question or issueraised in the chatbox needed the instructor’s
computational representation and reasoning support for managing complex system design through the use of Model Based approaches. The goal of Dr. Morkos’ manufacturing research is to fundamentally reframe our understanding and utilization of product and process representations and computational reasoning capabilities to support the development of models which help engineers and project planners intelligently make informed decisions. On the engineering education front, Dr. Morkos’ research explores means to improve persistence and diversity in engineering education by leveraging students’ design experiences. ©American Society for Engineering Education, 2025 Engaging students on a
deliberatepractice environments can address persistent challenges in technical education and inform thedesign of scalable, adaptive learning tools for broader implementation.1. IntroductionThe retention and application of SQL knowledge represent persistent challenges forundergraduate STEM students. At a large Midwestern university, students struggled to applySQL skills acquired through lectures, in-class exercises, and homework when working on theirsemester projects, often within a month of initial exposure. Suspecting limited practiceopportunities contributed to poor skill retention, we sought to improve student engagement,enjoyment, and performance with an effective e-learning system that emphasizes deliberatepractice and immediate feedback.Deliberate
load is approved, it will allow construction companiesworking on park improvement projects to drive conforming vehicles on park pedestrian bridgessuch as those found in Greenville, SC (Figure 3). (a) (b) Figure 3. Park bridges in Falls Park on the Reedy, Greenville, SC (a) the Liberty Bridge [30] and (b) Eugenia Duke Bridge [31]Student engineers will be evaluating a test bridge with the new proposed state legal load for parkbridges shown in Figure 4. The load consists of a front axle caring 500 lb or 0.5 kips, a secondaxle 10 ft later carrying 2000 lb or 2 kips, and a third axle 4 ft later caring another 2000 lb.Student engineers must find two
. This experience suggests that one potential role for GenAI ineducation is to address gaps or deficiencies in existing course materials. In an engineering ethicscourse, the use of GenAI can provide additional information on the environmental and societalimpacts of engineering projects. GenAI could also be used to locate information about the policyimplications of historic events and long-term impacts of engineering failures. The case studiesfeatured here had far-reaching, multi-faceted effects on the communities impacted. While thetechnical and decision-making processes featured in the textbook are important, GenAI can beuseful for developing a more holistic view of engineering case studies.Our study demonstrated that the best results from
Engineering Education, 2025 Implementing a Distributed Process Control System in a Student Unit Operations LaboratoryAbstractAs part of the renovation and relocation project for the Unit Operations Laboratory at theUniversity of Illinois, a commercial distributed process control system (DCS) was incorporatedinto the facility. The purpose of the system is both to provide process control functions for theunit operation experiments and to introduce students to the equipment and instrumentation thatcomprise a modern control system. While the benefits of having a DCS system have long beenrecognized, the maintenance and cost of an advanced control system have been a significantdeterrent to its effective inclusion in many
connections betweenknowledge, and to identify opportunities to create value for the world. Research on the 3Cs hasbeen investigated for quite some time with a particular focus on topics such as educationalinterventions and mindset in contexts such as the first-year engineering programs, the mid-years,and the senior capstone courses. Despite the ubiquitous research efforts looking to expandpedagogical approaches for the 3Cs, there remains a large gap in tools available for educators tomeasure student learning gains and pedagogical intervention effectiveness. This project is part ofa larger research effort to support the development of direct and indirect assessments for each ofthe 3Cs (Curiosity, Connections & Creating Value). This “assessment
Paper ID #48844High School Students’ Sentiments and Outcomes in FossilSketch LearningActivitiesMr. Sung Je Bang, Texas A&M University Sung Je Bang is a Ph.D. candidate in Interdisciplinary Engineering at Texas A&M University, within the Department of Multidisciplinary Engineering. He serves as a graduate research assistant on multiple projects, where he focuses on user experience and psychological aspects of technology. His research interests include artificial intelligence, large language models, user experience design, and engineering education.Anna Stepanova, Texas A&M University Dr. Anna Stepanova is a
Engineering (NAE), Infusing Ethics into the Development of Engineers, Washington, DC: National Academies Press, 2016.[11] GoodCorporation, “Ethics in the engineering profession: A GoodCorporation report for the Royal Academy of Engineering,” London, UK: GoodCorporation Ltd. Available: https://raeng.org.uk/media/x0lbgvco/ethics-in-the-engineering-profession.pdfAppendix A: HEEE Agenda and Schedule Time (EDT) Description 9:00-9:30 AM Informal gathering and networking 9:30-10:00 AM Opening: Welcome, about NIEE, project background/objectives 10:00-10:15 AM Summary of pre-event survey results 10:15-10:45 AM Breakout session #1 (exploratory) 10:45-11:00 AM Breakout reports, identifying
considerable professional experience, ensuringrepresentativeness. Insights from the interviews revealed that the most common roles amongparticipants were Estimator (30%), Educator (21%), Architect (15%), Project Manager (12%),and Civil Engineer (9%). 10+ years 6-10 years 2-5 years Less than 1 year 0 2 4 6 8 10 12 14 16 Figure 1. Distribution of Participants' Work Experience in STEM Fields.Career entry timing and pathwaysDespite the promotion of STEM-related courses in K-12 education, participants reported thattheir formal consideration of STEM careers often began after high school or even after collegegraduation, with 65% starting
disagree in that category. Similarly, 71% and 18% strongly agreed,and 67% and 25% agreed, for sections 1 and 2, respectively, that their critical thinking skillshave improved in the class. Finally, 59% and 35% strongly agreed, and 67% and 25% agreed, forsections 1 and 2, respectively, that the class has been a valuable learning experience for them.Only 6% of students from section 1 disagreed. There were no comments related to this number.For the AR development engagement, we received the following feedback from the student whoassisted with the tutorials that went into the AR application, “… we are able to cross the barrierbetween learning and understanding via AR …. Through this project, we are not only justteaching them [students], but we are
in the classroom. It is not uncommon for there to be only one or twowomen present in the sophomore level engineering courses such as Dynamics or Mechanics ofMaterials. The advice offered that seems most applicable is for faculty to ensure that theirclassroom culture fosters mutual respect and to encourage collaborative projects [9]. Thissupports not only students in the minority, but everyone in the classroom.Future Research and LimitationsThere is a bias present in any survey based on who chooses to respond. In this study 89% of therespondents reported that they were fairly or very confident that they would keep their currentchoice of major. This may skew the data on identity and sense of belonging to be overestimated.Future work could
“happy” for seven subgroups and“relieved” for six. “Happy” was further correlated with “confident” and “relieved” for eightsubgroups each. With the negative beliefs, “incompetent” was correlated with “helpless,”“ashamed,” and “defeated,” each in eight out of the 11 subgroups, while “defeated” and“ashamed” were also correlated with each other in eight subgroups. While statistical overlap wasthe starting point of discussion, the majority of experiential belief items were ultimately cutbased on the stated goal of this project: to produce a shorter, intervention-driven version of theinstrument. As experiential beliefs are based in emotional responses to the idea of seeking help,they are more vague and less actionable as key intervention targets
focused on designing AI tools to assiststudents’ learning in specific ways and on evaluating and improving these tools. For example,Gabbay and Cohen developed a framework for LLMs to complement automated test-basedfeedback in programming courses, evaluating the quality of the feedback and demonstrating thepotential of tools like GPT-4 to enhance feedback on code assignments [22]. Vadaparty et al.examined the integration of LLMs in an introductory programming course, focusing on students’experiences and reactions to the LLM’s ability to enhance learning and creativity in project-basedassessments [23]. Jury et al. developed WorkedGen, a tool that utilizes LLMs to generateinteractive worked examples for programming courses. They provided expert
applications wherever possible. Thesecond was a focus on a higher level and forward-looking reflection as described by Kember and 2colleagues[15]. Such activities are already common in our program and are largely guided by establishedframeworks including inquiry and project-based learning, and conceptual change [16].Course descriptionThe course in which we implemented this activity is an upper-level introductory physiology course that consistsof two 1-hour lectures and one 2-hour Problem Solving Studio (PSS) [17] per week, with some contentdelivered using required course videos. The course is designed to help learners connect
academic community for many years, teaching both undergraduate and graduate courses and advising student projects. Her research interests include water treatment technologies, the development of sustainable solutions for plastic waste recycling and management, and engineering education. She is particularly interested in teaching chemical and environmental engineering courses, as well as exploring the social impact of engineering education.Prof. Andrew R Teixeira, Worcester Polytechnic Institute Andrew Teixeira is Associate Professor of Chemical Engineering at Worcester Polytechnic Institute and classically trained chemical engineer with specialties in the fields of dynamic chemical reaction engineering and materials
Paper ID #47521Accelerating Student Success in Mathematics through Personalized AdaptiveLearningDr. Melissa A Dagley, University of Central Florida Dr. Melissa Dagley is the Executive Director of the Center for Initiatives in STEM (iSTEM) at the University of Central Florida. Dr. Dagley has served as PI and Co-PI on numerous NSF projects, facilitates the women’s mentoring network at UCF, created a STEM learning community model for transfer students and directs Math Launch, a success program targeted to expediting calculus readiness for students in STEM majors. In addition to guiding undergraduates towards a successful
also seeks to address key challenges in infrastructure sustainability while promoting long-term resilience in construction.Michael Oluwafemi Ige, Morgan State University Michael Ige is a Graduate Research Assistant in the Department of Civil and Environmental Engineering at Morgan State University, Maryland, where he is pursuing his M.Sc. in Civil and Environmental Engineering with a concentration in Construction Management and Transportation Engineering. He earned his B.Tech. in Building Structure from the Federal University of Technology, Akure, Nigeria. Michael has extensive professional experience managing large-scale heavy construction and fac¸ade projects, including high-rise and industrial developments across
benefits from integrating UDL and inclusive design principles.Inclusive design projects, like creating assistive tools for individuals with disabilities, fosterempathy, innovation, and real-world problem-solving skills among students [2, 7]. Such projectsresonate particularly with underrepresented groups, including SWDs, who are motivated by thesocietal impact of their work. Capstone courses, for example, effectively incorporate UDL toencourage students to consider diverse user needs in their designs [2].Despite these advancements, SWDs report significant barriers, including difficulties navigatingmultiple LMS platforms, inconsistent use of accessible tools, and limited instructor awareness.Surveys reveal that centralized platforms, captioned
Paper ID #47253BOARD # 14: Aircraft Misfuelling: A Case Study Using Bayesian ProbabilityRisk AssessmentJiahao Yu, Purdue University Jiahao ”Hal” Yu is a Ph.D. student at Purdue University WL in Aviation Technology and Management with research interests spanning various aviation-related projects. He is concurrently pursuing Graduate Certificates in Aviation Financial Management and Applied Statistics while completing his Ph.D.Prof. Mary E. Johnson Ph.D., Purdue University at West Lafayette (PPI) Mary E. Johnson is a Professor and Associate Head for Graduate Studies and Research in the School of Aviation and Transportation
picking up dropped pieces, ”finger“ could have been better designed.” • “it was great! it offered a very unique experience that allowed me to work this project remotely with a hands on type experience.” • “It didn’t distract me from learning. On the contrary, I think it aided in learning.”Overall, participants appreciated having the opportunity to experience real-time manipulation ofphysical lab equipment from a remote location—an experience many of them had neverencountered in prior online courses. However, several areas emerged where TeleopLab could beenhanced.Although TeleopLab successfully demonstrated remote teleoperation, periodic network glitchesundermined the smoothness of the robot’s movement
research interests include dynamics and system modeling, geometry modeling, project based engineering design, and robotics in manufacturing, artificial intelligent in Manufacturing, and engineering education. ©American Society for Engineering Education, 2025 Work in Progress: Assessing ABET SO6 through Innovative Labs in Solid Mechanics: A comprehensive guide for Mechanical Engineering InstructorsAbstractDuring ABET Assessment Cycle 2 (Fall 2023-Summer 2024) Department of MechanicalEngineering at Wentworth Institute of Technology (WIT), unanimously included a sophomorecourse, Mechanics of Materials, to be assessed for Student Outcome 6 (SO6) starting from Fall2024 (September-December) semester. To assess this
its effectiveness in flipping thirty percent of the course content, Int. J. Inf. Educ. Technol., vol. 6, pp. 348-351, 2016 [3] J. Garc´ıa-Ferrero, R. P. Merch´an, J. M. Mateos Roco, A. Medina, and M. J. Santos, Towards a sustainable future through renewable energies at secondary school: An educational proposal, Sustainability, vol. 13, no. 22, pp. 12904, 2021. [4] S. Saovakhon and S. Akatimagool, Development of innovative virtual media set for learning renewable energy, in 2024 12th International Electrical En- gineering Congress (iEECON), pp. 1-4, 2024. [5] M. Daoudi, Education in renewable energies: A key factor of Morocco’s 2030 energy transition project. Exploring the impact on SDGs and future perspec
(and below the SWEMWBS average) for the first two weeks in each term but then remains near or above the SWEBMWS average through the rest of term. Noting that students are assigned to new course project teams at the start of each term, it may be that working closely with and getting to know their new teammates at the start of each term helps build some social connections. • The “I’ve been able to make up my own mind about things” item is consistently the highest- scoring item across all weeks. 5 Well-being (SWEBMWS) 4 3
conclusion thatthis educational model must therefore be made up of ”unguided practical or project work” is notnecessarily true. In fact, it has been directly contested as ”mistakenly conflat[ing] problem-basedlearning and inquiry learning with discovery learning” [5]. This interdisciplinary, constructivistapproach aligns with our agile model’s emphasis on learning-by-doing in CS1.The instructional approach described in this work joins experimental spaces for students to con-struct knowledge with focused guidance and direction from instructors to avoid these specific prob-lems.Early Computer Science Course ContentCS1 courses generally serve two overlapping but distinct purposes. First, from a constructivistperspective, the goal for CS students is to
Paper ID #46595Fun Friday: Assessing the effectiveness of weekly real-world applications inintroductory dynamics lecturesDr. Thomas Golecki, University of Illinois at Urbana - Champaign I spent 10+ years in industry as an engineer in structural mechanics and structural health monitoring projects, earning professional licensure as PE and SE. My PhD research focused on the structural optimization of dynamic systems including random loading and vehicle-bridge interaction. Now as teaching faculty, I try to connect course concepts to real-world examples in a way that motivates and engages students.Mikayla R Hoyle, University of
from multiple donors to the University of Florida'sHerbert Wertheim College of Engineering's Foundation to support the GGEE programs as part ofthe EQuIPD project at the University of Florida. The research team would like to thank the leadingdonor to the program, Arnie Goldberg, for their support and appreciation toward creating STEMopportunities across Florida. The team would also like to thank Bud and Kim Deffebach, whosponsor programs in Brevard County, Florida. The researchers would like to thank their co-authors,program management, and research teams for their assistance and support throughout the summerprograms and research study. The researchers would also like to thank the student participants forparticipating in the summer program and