(EduFusion NSG) presents an innovative, integrated framework thataddresses the critical gap between academia and industry, providing a structured ecosystemthat promotes collaboration, educator training, and market-relevant course offerings toenhance entrepreneurship and economic resilience on a national scale.IntroductionThe EDUFUSION Project, officially launched on December 1, 2024, is a 48-month initiativefunded under the European Union’s ERASMUS-EDU-2024-CBHE program (Project ID:101179805). This project aims to address critical challenges in Kazakhstan’s highereducation system by bridging the gap between academia and industry, enhancing educatortraining, and delivering innovative, market-aligned online courses. By fosteringcollaboration
methodology employed in this study involved a systematic, multi-phase approach designed tocapture detailed and replicable data. The steps included: 1. Data Collection: Utility bills, equipment specifications, and operational data were analyzed to establish baseline metrics for energy, water, and resource usage. This step ensured that the assessment was grounded in accurate, comprehensive data. 2. On-Site Assessment: A comprehensive walkthrough of the facility was conducted, focusing on key areas such as: o Equipment efficiency and maintenance. o Lighting systems and HVAC performance. o Water usage patterns and waste management practices. This stage involved detailed documentation and
Goal Setting and Strategic Planning Intuition and Rapid Decision Making Strategic planning is foundational to Alumni stress that intuition, developed 1. Gather Data - Data consisted of 28 student assignments from three sections of long-term success. Alumni emphasize
young children. By addressing thesegaps, the research hopes to provide valuable insights into how early education can better equipteachers and children for a future shaped by AI. As AI continues to influence the globaleducational landscape, fostering awareness and foundational skills from a young age is critical,ensuring children are prepared for the digital future. This research addresses two key questions:1) What are early childhood teachers' perceptions regarding AI in Azerbaijan? 2) What are thekindergarten teachers' suggestions for incorporating AI tools more effectively in the K-schoolsetting? A qualitative method approach was employed. A systematic sample of 16 teachers fromdifferent regions of Azerbaijan was selected for semi-structured
in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oaCappelli, C. J., Boice, K. L., & Alemdar, M. (2019). Evaluating University-Based Summer STEM Programs: Challenges, Successes, and Lessons Learned. Journal of STEM Outreach, 2(1), 1–12. https://doi.org/10.15695/jstem/v2i1.13Friedman, A. D., Melendez, C. R., Bush, A. A., Lai, S. K., & McLaughlin, J. E. (2017). The Young Innovators Program at the Eshelman Institute for Innovation: A case study examining the role of a professional pharmacy school in enhancing STEM pursuits among secondary school students. International Journal of STEM Education, 4(1), 17. https://doi.org/10.1186/s40594-017-0081-4Hora, M. T., Wolfgram, M., Huerta, A
either a two-day intensive training, or could bebroken up into two weeks of six smaller training sessions (modules). Each module willconsist of 1) presentation materials mapping learning objectives and the relatededucational theories, 2) peer mentor created case scenario videos, and 3) an activelearning activity that practices theories and case study topics from the module.This short format is intended to be delivered at the beginning of each course semester,when students have returned to campus, in time for certification of new peer mentors, oras a refresher for returning peer mentors to be prepared to serve in the first-yearmakerspace classroom the same semester.Results and ReflectionsThe results of the portion of the research project
, 2018, p.6). This is the current teamwork student outcome. Prados, J. W., Peterson, G. D., & Lattuca, L. R. (2005). Quality Assurance of Many engineering schools use CATME to assess their students’ teamwork skills Engineering Education through Accreditation: The Impact of Engineering Criteriafor ABET accreditation (e.g. Beigpourian et al., 2019; Brawner et al., 2018; Lucietto 2000 and Its Global Influence. Journal of Engineering Education, 94(1), 165–184.& Berry, 2017
conflict resolution, and (ii) reflected on ways inwhich their teams are already successfully fostering a psychologically safe environment.To support an environment in which individuals could more freely share stories and experiencesof their own RED teams, during this group workshop, individuals were placed in small workinggroups composed of members from different RED teams. The workshop was divided into 4activities: 1. Individuals completed a vetted seven-question, seven category Likert survey (Edmondson, 1999) to quantify current levels of participants’ experiences of psychological safety on their teams; 2. Small groups participated in reflective and role-playing activities to practice speaking and interacting in ways that
guidelines.This rubric, detailed in the appendix and earlier papers [1], is a work in progress, addressingsystemic issues that have persisted for centuries.The importance of such collaborations is echoed in recent National Academies reports. The 2019report Minority Serving Institutions: America’s Underutilized Resource for Strengthening theSTEM Workforce [2] highlights MSIs' critical role in diversifying the STEM workforce. The2023 report Advancing Antiracism, Diversity, Equity, and Inclusion in STEMM Organizations:Beyond Broadening Participation [3] underscores the need for sustainable partnerships betweenMSIs and PWIs, recommending PWIs draw inspiration from MSIs’ culturally responsivepractices. A January 2024 dissemination event by the National
currently a doctoral student at Wright State University in the School of Professional Psychology.Ansley Lynn Shamblin, West Virginia University Ansley Lynn Shamblin is an undergraduate student in Sociology at West Virginia University. She participated in the Research Apprenticeship Program (RAP) at West Virginia University. ©American Society for Engineering Education, 2025 Progress of an NSF BCSER Grant: Effective Strategies to Recruit Underserved Students to Engineering Bridge and Success ProgramsAbstractThis project is funded by the National Science Foundation EDU Core Research: BuildingCapacity in STEM Education Research (ECR: BCSER) program. The BCSER grant is twofold:(1) to build the
. Thefindings suggest that such targeted early interventions can positively shape engineeringidentity and motivation. While further longitudinal study is needed to assess long-termimpact, the short-term results provide valuable insights for inclusive engineering educationpractices.I. IntroductionEngineering plays a vital role in addressing real-world challenges; however, a significantgender imbalance persists in the field, particularly in disciplines such as electricalengineering. Nationally, women constitute only 15.5% of electrical engineering graduates, astark contrast to their representation in environmental (57.8%) and biomedical engineering(51.5%) programs [1][2]. Despite ongoing diversity initiatives, engineering remains one ofthe most gender
and tenure track (TT) and non-tenure track (NTT) positions. The number ofadjunct faculty in the United States has significantly increased in recent decades - the increasehas even led to coining the term "adjunctification" as a descriptor of the growing reliance onNTT faculty [1]. In 2021, two-thirds of all faculty members at U.S. universities held contingentappointments, a stark contrast to fewer than half in 1987 [2]. This trend has led to a decline inTT positions, with 24% of faculty members holding such positions in 2021, down from 39% in1987.The growing dependence on NTT faculty has not resulted in corresponding levels ofcompensation or institutional support. Research through the Harvard Collaborative onAcademic Careers in Higher
which are perpetuated by Whiteness. Personal and social identities and theirintersections such as race, gender, ethnicity, and socioeconomic status, mold how people engagewith the curriculum, each other, and perceive their place within the engineering discipline basedon power differentials [1], [2]. Whiteness in engineering is not simply about the demographicmakeup of the profession; it encompasses the underlying assumptions, values, and practices thatdefine what is considered "normal" and "acceptable" in engineering spaces [3]. These normsinfluence hiring practices, workplace culture, educational curricula, and even the way problemsare framed and solved [1], [4]-[8].It is without question that predominantly white institutions and corporations
BSengineering graduates for future national economic growth [1-7]. Obvious methods foraddressing this issue are increasing engineering persistence [2] and increasing the participationof underrepresented populations that enter the engineering student pathway [6-8]. Although theannual number of total BS engineering graduates did increase over the last two decades, from66,852 in 2002 to 139,482 in 2022 [9], an increase of 209%, this increase was primarily fueledby the expansion of existing programs and the creation of new programs [10]. Thus, there is anopportunity to solve the engineering pathway issue by recruiting and retaining women.Unfortunately, the push to increase BS engineering graduates over the last two decades hasmarginally affected the
differential equations, linear algebra, computerprogramming, and more broadly, mathematical modeling of physical and social systems. Assuch, it provides a domain for students to synthesize their mathematical knowledge and apply itto real-world problems.Many examples of dynamical systems are most clearly related to topics in engineering and thenatural sciences. However, we expect opportunities for computer science and data science majorsto gain from this course as well. Previous discussion has highlighted some of the connectionsbetween computer science and the study of dynamical systems [1]. Students may find itinteresting to experience how computational tools and scientific programming are used inmathematical modeling and related research; meanwhile
management; hybrid energy systems; microgrid protection ©American Society for Engineering Education, 2025 A Portable Educational Model for an Energy Management System of Duke EnergyIntroductionDuke Energy, the largest energy company in North Carolina (NC), is a publicly listed firmspecializing in energy holdings. The company's electric utilities provide services to 8.4 millionconsumers across North Carolina, South Carolina, Florida, Indiana, Ohio, and Kentucky. Inaddition, they collectively own an energy capacity of around 54,800 megawatts [1-4]. Thecorporation offers energy generating, transmission, and distribution services to its industrial,commercial, and residential clients
contribute tostudents' professional identity formation through engineering education.Introduction and BackgroundEngineering education today faces the challenge of equipping students with both technicalknowledge and the ability to interpret and work with data. The increasing complexity ofengineering problems and the rapid growth of available data have made data proficiency essential[1]. Equally important is fostering a strong engineering identity, which influences students'persistence and career paths [2]. While much research has explored engineering identity—focusingon competence, recognition, and interest [3]—less attention has been given to how data proficiencyimpacts these identity components. This understanding is critical as engineering
key steps: Chatbot development, educational intervention,and assessment design and survey development. Each step was critical in ensuring the successfulapplication of the chatbot as both a technical resource and an educational tool aimed at fosteringcritical thinking and ethical awareness in engineering students. Below the framework wasoutlined for the methodology and illustrated in Figure 1: 1. Chatbot Development 2. Educational Intervention - Ethical Training - Technical Training 3. Assessment Design - Likert and Open-ended Questions
strengthen the latest technicaland ethical tenants, standards, methodologies and techniques to better manage the complexitiesof software enabled capabilities. Industry is a vital stakeholder who needs to prioritize properoperational qualities ahead of immediate monitory and schedule concerns. The relationshipsamong technology, process, people and culture must be understood and managed to effectivelyand efficiently orchestrate the release of software capabilities that benefit all stakeholders, andminimize issues.Early Technical Issues and Response PatternToward the end of the nineteenth century homeowners excitedly purchased electric vacuumcleaners whose makers declared its amazing capability e.g., “the Domestic Cyclone” [1]. Theseearly vacuum
students also participated in the formal mentoringprogram with an experienced researcher as their faculty mentor and a network of mentors acrossthe NHERI sites.Qualitative and quantitative data were collected from NSF NHERI REU student participantsthrough pre-program and post-program assessments. These assessments were developed from thegoals of the NHERI REU program which include to (1) provide meaningful research experiencesto undergraduate students, (2) provide mentorship from an experienced faculty researcher, and(3) foster a community of researchers in natural hazards engineering research. This paper delvesdeeply into the mentoring experiences of students, highlighting the structure of the mentoringprogram and the outcomes from the students
ANSEPdeveloping the home away from home environment and what improvements have been madethat affect future improvement cycles and studies? The answers will help ANSEP improve itsUniversity Success component and also help ANSEP to continue to grow its pre-collegecomponents. ANSEP will also target funding support based on the findings and launch a newstudy in 2025.IntroductionAlaska consists of 22% Indigenous People, the highest of any state in the United States (US) [1].However, Alaska Native People are drastically underrepresented in science, technology,engineering, and mathematics degree programs and professions. At the University of Alaska(UA), Indigenous Students only represent 15% of its enrollment [2]. To improve thisunderrepresentation, the Alaska
than technicalproblem-solving targeting efficiency or other technical metrics. The discipline seeks tounderstand stakeholders as complete beings with socio-emotional needs, rather than as purelyrational actors, abstract problem-solvers, or technical components. Scholars such as Boyemphasize that HCE is rooted in principles of Human-Centered Design but applied withinspecific engineering contexts [1].Although closely related, HCE and Human-Centered Design (HCD) differ in scope andapplication. HCD is both a discipline and a methodology focused on research, problem-solving,and experimentation, while HCE embeds human-centered principles throughout engineeringpractice and may leverage HCD to do so. While HCD informs HCE, the demands of
— supported graduate engineering and computerscience students through financial assistance, mentorship, and professional development. A keyproject goal was to establish a graduate student association to sustain the student communitypost-funding. As of Fall 2022, retention for Cohort 3 (Fall 2021 entrants) reached 83%.Graduation rates by the fourth year were 100% for Cohort 1 (Fall 2019 entrants) and 86% forCohort 2 (Fall 2020 entrants). These outcomes are comparable to the institutionally reported fall-to-fall retention rate of 86% for master’s students, excluding those who had already completedthe program. Despite recruitment challenges, pandemic impacts, and post-grant sustainabilityconcerns, the project successfully cultivated a supportive
. Data collection has been underway since the end of year one,once IRB approval had been attained. For details from the group doing the research for thisproject, refer to another paper at this conference[1].What the goals and strategies mentioned above mean changes from year to year. Some ideaswork well, and others do not. In year 1, it became clear that it was necessary to identify at leastone key person at each institution and to find ways to facilitate the development of a solid,effective working partnership between the various schools in each node. Students at some CCsgot excellent advice preparing them to transfer, most did not. Some faculty at 4-year schoolsknew someone at a nearby CC, and something about the CC student experience, most
teach sustainability in engineering through a bell hooks lensIntroductionA review of the characteristics of classroom dynamics is presented in contrast to a specificcourse designed to act as an introduction to sustainability for multidisciplinary engineeringdesign students.Correlating pedagogy to presenceInterdisciplinary collaboration and innovative teaching methodologies can effectively bridgetheoretical sustainability concepts with practical engineering applications, ultimately preparingfuture engineers to address complex global environmental challenges and design moresustainable technological solutions [1]. Reviews of this topic highlight that to effectivelytransform engineering education, institutions must develop adaptive
practice.Data-driven instruction has continued to attract interest for its promise to help addressinstitutional objectives as well as increase the quality and standardization of instruction at thecourse level [1, 2].Instructors, informed by student data, can gain an insight into student learning environments andprogress and then reshape course design and lesson planning [3]. To facilitate data-driveninstruction, numerous learning analytics tools have been developed to collect, analyze, andvisualize student data. The tools can be as simple as spreadsheets and be easily applied to showstudent performance data in charts [1]. Such simple data collection and visualization can helpinstructors with data-informed decision making to adjust their lesson plans
Paper ID #45882GPS Spoofing on UAV Simulation using ArdupilotDavid Li, University of Maryland College ParkProf. Houbing Herbert Song, University of Maryland Baltimore County Houbing Herbert Song (M’12–SM’14-F’23) received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012. He is currently a Professor, the Founding Director of the NSF Center for Aviation Big Data Analytics (Planning), the Associate Director for Leadership of the DOT Transportation Cybersecurity Center for Advanced Research and Education (Tier 1 Center), and the Director of the Security and
programs [1]. Although many US universities have resumed in-personstudy abroad opportunities post-pandemic, there still exists a benefit to continuing virtual exchangeprograms.Virtual exchange programs can offer an alternative for many students to broaden their access tointercultural learning. It allows students to engage with peers around the globe without having toleave their home institutions and can provide access to a more diverse range of students [2]. Tohelp understand the impact of virtual exchange on students, assessment tools will help to measurethe development of intercultural skills and global awareness.Additionally, this paper introduces the Virtual Exchange and Study Abroad (VESA) kit, a portableresource designed to help faculty
understanding of threshold concepts in structural engineering is essential for improvingstudents' learning experiences and ensuring their professional success. These concepts aredefined as transformative, integrative, and often troublesome for learners, as they representpivotal ideas that fundamentally change the way students understand a subject once mastered[1]. They lead to a significant shift in comprehension and allow students to integrate separateideas into a unified framework. However, because these concepts are inherently complex, theyoften present significant barriers to learning [2].Structural engineering, a specialized branch of civil engineering, requires a deep understandingof theoretical knowledge combined with practical application. This
vision ofeducation extended beyond the confines of his own professional career in rhetoric. He saw aworld that integrated all areas of human knowledge. . . .[and] owned a conceptual scheme thatembraced the whole of rhetoric, giving meaning to all the bits and pieces upon which hiscontemporaries focused” (pp. 1-2). Their comprehensive biography reveals many of theexperiences that contributed to the breadth and depth of his knowledge, for example, his work asan assistant librarian tasked with cataloguing the items in a large library on political economy.Those experiences put him in a position to meet one of the most important tasks polymaths take