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
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
Paper ID #47753Redefining Electrical and Computer Engineering Faculty with LongitudinalSupport for Women and Underrepresented MinoritiesDr. Barbara E. Marino, Loyola Marymount University Dr. Barbara E. Marino is an Associate Professor in the Department of Electrical and Computer Engineering at Loyola Marymount University. Dr. Marino received the B.S.E.E. degree from Marquette University and the M.S. and Ph.D. degrees in electrical engineering from the University of Notre Dame. Dr. Marino has many years of industry experience including work at the Naval Research Laboratory in Washington, D.C. on projects related to military
students. Strategies to provide additional support for these studentswere proposed. While this study was carried out with data from only one Chemical EngineeringDepartment at one university, it presents information that will very likely apply to otheruniversities and engineering degree programs.References[1] P. Bransberger, C. Falkenstern and P. Lane, “Knocking at the college door: projections ofhigh school graduates, Western Interstate Commission for Higher Education (WICHE), 2020.[2] A. Dorn, “More teens are skipping college; here’s what they’re doing instead,” NewsNationNow, April 29, 2024.[3] C.R. Bego, J.L. Hieb and P.A. Ralston, “Barriers and bottlenecks in engineering mathematics:math completion predicts persistence to graduation,” 2019
context-specificalterations to content assessments and tailored experience questions, this assessment framework can beadapted to evaluate tools for teaching in broader engineering contexts. As personalized educationbecomes more prevalent, assessment methodologies such as the framework proposed here will increase invalue.LimitationsThe initial study design for project AREEA was to have eligible participants be separated into threeseparate groups. In addition to the two groups mentioned in the Experimental Plan, we intended to have athird group test a 2D version of the HAILs in a computer lab setting. This group would be a control forGBL, as they would not experience augmented reality but only game-based learning. Unfortunately, dueto time
) metallurgy, CAD made. I’ve always been projects. focused more on the aesthetics of crochet more than how it can impact the material properties of a fabric. It introduced me to the potential that
experiment / failureDesign. Edu., project that forces them2016 to confront failure often.[27], ASEE Examine interventions to US First year Quantitative • attrition,Ann. Conf., reduce attrition. engineering Mathematics retention, and2016 students, 2 years intervention persistence[28], REEN Identify the pedagogy of UK First and second Mixed • attrition,Ann. Symp., failure and examine the year engineering Data analytics retention, and2017 issues behind ‘failure’ students, 2 years
activities that explore spatialreasoning, such as mapping exercises, geometry projects, or community walks that allowstudents to analyze and visualize mathematical concepts in their surroundings. Wood’s [24]research highlighted the effectiveness of collaborative discourse in the classroom based onreal-world problems to move their mental effort from contextual understanding to a moreabstract or formal understanding of math itself. Besides contextual discourse, Brizuela andStrachota [20] encouraged the use of visual tools showing real-world scenarios, allowingstudents to explore ideas with joy and curiosity, making learning more meaningful andapplicable to their lives. Resnick’s [21] shifted the idea from visual tools towards the focuson mental models
, body-based interactions with learning content can facilitate new understandings, and how games and simulations can be effectively designed to take these types of interactions as input. He has been PI of several NSF-funded research projects examining how people learn in technology-enhanced environments, and his research lab has created several prototype digital games and simulations with museums and classrooms across the US. ©American Society for Engineering Education, 2025 The Power of Movement: Exploring Gestures as Tools for Engineering Students Conceptualizing Statistics Junior Anthony Bennett1, Tiffany Reyes Denis2, Sourabh Garg2, Logan Hillary Lauren2
/9781003287483-22.[2] B. Smith, Demystifying the higher education system: Rethinking academic cultural capital,social capital, and the academic mentoring process, Ph.D. dissertation, The University ofWisconsin-Madison, 2004.[3] B. Tekerek and M. Tekerek, “Emotional intelligence in engineering education,” TurkishJournal of Education, p. 88, Apr. 2017, doi: 10.19128/turje.306499.[4] C. O. Skipper and S. Brandenburg, “Emotional intelligence and academic performance ofengineering students,” Engineering Project Organization Journal, vol. 3, no. 1, pp. 13–21, Jan.2013, doi: 10.1080/21573727.2012.738669.[5] X. Zhou, "Assessment and analysis of emotional intelligence in engineering students,"2010.[6] H. Shuler, V. Cazares, A. Marshall, E. Garza-Lopez, R
that may connect to a student's academicengagement and performance such as number of units completed in previous semester, gradesfrom previous semester, and tuition fee payment status with an accuracy of 85.9% for thepredictions on the test data: 94.5% correctly on the prediction of non-dropouts and 67.9%correctly on the prediction of dropouts. Furthermore, the same set of data was processed by theMulti-Output Classifier neural network resulting in accuracy scores ranging from 83.5% to94.2% for the five target variables, providing valuable insights to educators for advocatingtailored support for at-risk students.IntroductionMultiple research projects have shown the effectiveness of using early warning for supporting at-risk students in
to ROV-related careers. However, it did not show meaningfulrelationships with core SCCT constructs for both genders. This demonstrates that while gamingactivities may raise awareness of ROV-related careers, they are insufficient for shaping coreSCCT constructs. To address this limitation, supplementing gaming activities with additionalexperiential opportunities, such as robotics or project-based learning, is suggested to provide amore comprehensive foundation for career development.Although this study identified gender-specific differences in the influence of robotics andgaming experiences, it failed to uncover factors influencing the core SCCT constructs amongfemale students. Future studies should investigate additional variables, such as
incorporating the practice and development ofprofessional skills into their first-year engineering courses and projects to better prepare studentsfor entering the professional workplace as they seek out internships and co-op experiences intheir second and third years (e.g., [4], [5]).While a primary purpose of first-year engineering programs is to aid in preparing students forsuccessful transitions into their specific engineering disciplinary classes with foundationalengineering skill sets and knowledge, first-year engineering courses are also well-positioned toaid in students transitions between two starkly different educational contexts: high school tocollege. The transition from high school to the first year of college in an engineering programcan
environments that make use ofdarts or target metaphors [24], or dynamical displays of stochastic processes such as a digitalGalton board as an analogy for manufacturing variation [25]. There is an opportunity to createdigital environments that allow users to virtually operate equipment, gather and analyze data,interact directly with SPC tools like run charts and control charts, and better prepare students foron-the-job problem solving. In this work we leverage the advantages of digital environments tocreate a series of interactive simulations and games to teach statistical process control in amanufacturing environment.2. Development of Process Control Interactive Simulations and Web GameFor this project, the goal of using interactive web simulations
system design, manufacturing, and their respective education. His system design research focuses on developing 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
studentsparticipated in the study. We interviewed 23 S-STEM scholars and conducted four focus groupswith 16 students.Data collectionThe data were collected during the Fall semester of 2023. One of the primary components of theS-STEM program is bi-weekly meetings on Fridays that scholars are encouraged to attend.S-STEM program leadership encouraged the research to schedule interviews for an off-Friday inwhich scholars did not have a meeting because scholars are in the habit of coming to campus tomeet with advisors on Fridays. The focus groups were scheduled two weeks later on another off-Friday. The research team attended a bi-weekly meeting and explained the project and recruitedstudents to sign up for an interview or focus group slot using a shared Google
it to “check NFL player stats” or“chat when bored.”Figure 3: Summary of students responses to survey question “provide examples of how you usedAI for a non-academic purpose”.In addition, AI is used for problem-solving and personal assistance, such as troubleshootingcode, solving math problems, or seeking advice on personal issues. Students highlighted itsutility for tasks like “troubleshooting code for a personal project” or asking for“recommendations in a new country.” On a scale of 1 to 5, students expressed significant interestin learning about AI and its applications in engineering and computing, with an average interestrating of 4.1 and approximately 50% rating their interest as 5 (Very Interested). When askedabout their expectations
domain-specific knowledge and skills to successfully to identify organizational needs and problems; knowledge in a shared domain with the Ideator and Implementer to be able to communicate concepts to both of those roles; knowledge of systems design and management; knowledge of enterprise systems; knowledge of the overall economic development process S- Skills in: communication, understanding people and motivation; organizations (building, and managing); managing projects; identify others strengths and weaknesses to best place them within the organization; mediation; A- Ability to: think strategically (e.g. at the big picture level) and also procedurally/sequentially; organize; identify, create and manage
keep expanding, refining, or summarizing to adhere to the norms of the disciplinaryjournals. I think this strategy can help make methods writing less daunting and avoidperformativity. It also allows the flexibility to innovate and adapt and then represent thoseinnovations transparently to your reader.If you are midway through a project or at the end of one and draw a blank regarding what,beyond the basics, to write about your methods, I hope the reflection questions in Table 1 helpelucidate some directions that can be taken even late in a study. For example, reflecting onresearch questions, deciding what they mean to you, elaborating the actual analysis process toanswer them—this is a crucial and continual reflection. At any time, asking and
, 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