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
programto bridge critical gaps in understanding how educators navigate these complexities. Specifically,the research explores the challenges instructors face when teaching AI concepts, includingbalancing diverse learning styles, managing classroom dynamics, and implementing effectiveassessment strategies. These insights can guide the development of educational practices that areboth inclusive and effective, enabling more students to contribute meaningfully to the AIworkforce.Research QuestionsThe following research questions drive this study: 1. What challenges do instructors face when teaching AI concepts to neurodivergent learners? 2. How do instructors adapt pedagogical approaches to accommodate diverse learning styles and
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
solution is a new cloud service known as HPC-as-a-Service.In this paper, we present an HPCaaS platform called ASETS which uses Software DefinedNetworking (SDN) technologies to smooth the execution of parallel tasks in the cloud. Further,we provide application examples that could be used in a typical introductory parallel programingcourse. We argue that HPCaaS platform like ASETS can significantly benefit the users of HPCin the cloud as if their program is running on a dedicated hardware in their own laboratory. Thisis especially advantageous for students and educators who need not to deal with the underlyingcomplexities of the cloud.1. IntroductionCloud Computing according to NIST1 is a shared pool of configurable resources offeringservices with
programs. Developing our understanding about this unique group ofstudents, while learning how to best educate and motivate them.Writing proficiency is an area that has been discussed for some time.1 Employers have indicated Page 26.1777.2that engineering technology students are unable to articulate clearly, in particular they arelacking in writing skills..2 Regardless, the work place demands the ability to convey thoughts andconcepts in writing.2 While this is the case, and is often known, academia is not consistent in thedevelopment of writing proficiency.1,3-5The authors believe that well-crafted exercises used throughout the curriculum provide
to adopt the term anddeliberately problematize it, teaching notions of critical citizenship that delink the word fromnationalist and xenophobic notions, reclaiming it for a broader notion of personhood. 22-24Course DescriptionIn order to obtain approval for the course to meet requirements for the Curriculum on LiberalEducation, the wording of our learning objectives matched the requirements for the CLE. It wassomething of a surprise to us that the course was not considered appropriate to meet either thescience or social science areas but was instead considered appropriate for art and design becauseof its focus on the latter. Thus the learning objectives for the course were finalized as follows: 1. Explore the interaction of engineering
beimplemented for Summer 2016.The FDA has increasingly emphasized the importance of identifying user needs, usability andergonomics in medical device design, in response to safety issues related to engineering design,failure, and poor user interface, as well as to reduce the time to market by a more efficientproduct development process [1]. FDA Guidance Document “Do It By Design” [2] stresses thevalue of obtaining first-hand feedback from physicians, nurses and lay-users in the earlieststages of product conception and design. In addition, extended exposure to the clinicalenvironment, where medical devices are used, help provide context to how behaviors, opinionsand environment inform the user experience. Primary ethnographic research, including
needs are met is through the “Race to the Case”competition.The Swanson School of Engineering at Pitt also recognizes the critical need to provide studentswith experienced-based learning opportunities. The instructor for the engineering economycourse (housed in the department of industrial engineering (IE)) has incorporated numerousactive learning pedagogies, including case studies and model-eliciting activities, within thecourse over many years. The instructor saw the “Race to the Case” competition as an additionalopportunity to provide IE students with an opportunity to apply engineering economy and otherindustrial engineering skills to a real world problem.The Race to the Case, represented by Figure 1, is an annual case competition, sponsored
three wheeled ground robot with an ultrasonic sensor tied in front of it as shown in Fig 1. Its compactness, robustness, user friendliness, the synchronization (both Android and EV3) in terms of programming paradigm and necessarily its cost effectiveness Fig 1: Structure of the robot have made it the ideal robotic platform for the implementation of this project.iii. Android platformAndroid is an innovative as well as a noble and open development platform launched in 2007 byGoogle, based on the Linux carnal. Besides enhancing the flexibility in using mobile devices andpromoting user experience, it has
current systems. (1, 2, 3, 4)The higher education arena interacts in a complex way with a variety of external partners whoserole, participation, and expertise must be harnessed to help overcome some of the challenges thathave beset engineering education in the Region. Perhaps the most notable partner in thisendeavor is the industrial sector whose role and participation in shaping engineering educationhas, unfortunately, been extremely modest by best estimates. Establishing a beneficial workingrelationship between colleges of engineering in the Region and industries at large, has proven tobe difficult, often short-lived, and appears at the outset, not to be rewarding to either side.Among the many factors contributing to this failure, is the
negatively affect the overall learning ofthe students as measured by their performance on a common, cumulative final exam. Studentsgenerally liked the opportunity to apply their knowledge to real world problems that werethematically centered on the biomedical industry and to be able to work in teams.IntroductionThe Kern Entrepreneurship Education Network (KEEN) supported by the Kern FamilyFoundation was created in 2005 to “champion the entrepreneurial mindset in undergraduateengineering students.”1-3 In an effort to achieve this goal, the Kern Family Foundation created anetwork made up of mostly private engineering schools that are committed to developing theentrepreneurial mindset in their undergraduate engineering students through the network
but not solarge as to invalidate the tools. Steps should be considered to educate students about potentialbias.IntroductionTeamwork is an integral part of Engineering and Engineering Education.1 Well-designed groupand team projects can help students gain valuable teaming skills, and accrediting bodies requirethese skills of engineering graduates.2,3 But teamwork is not without its problems. Social loafingand “I better do it myself, if I want an A” syndrome are part of many peoples experiences withgroup and teamwork.4 A well-designed peer evaluation process can improve the studentexperience and lead to more powerful learning outcomes.Peer evaluation can be used to foster a better team experience and to equitably recognizeindividual student’s
industries that had a great sense oftraditional values and environmental awareness, and explored Taiwan's culture through the eyesof local students. The cohort was a resounding success, with overwhelming positive studentfeedback. Overall, the SJSU GTI program has been very successful and has met the objectivesset for it. Embedding continuous assessment and improvement into this program has allowed usto adapt to changes and provide the participants with an intensive global experience.1. Purpose of the GTI ProgramIn the globally competitive 21st century, corporations have been aggressive in expandingmarkets and their workforces across the globe. In order for engineers to thrive in such anenvironment, they need to understand and prepare for this new
Satisfaction Table 4 Data collection procedures and schedules Phases Contents Duration(1) Pre-tests Demographics , computer experience, GPA Two weeks Knowledge on selected subjects through Concept Inventory Learning disposition measured through MSLQ(2) Collaborative learning Online discussion for collaborative learning Ten weeksthrough online discussion Students' Self-report on collaborative learning process Instructors
Children’s Hospital, and the Rehabilitation Institute of Chicago.Dr. Sheryl Elaine Burgstahler, University of Washigton Dr. Sheryl Burgstahler founded and directs the DO-IT (Disabilities, Opportunities, Internetworking, and Technology) Center and the Access Technology Center. These two centers promote (1) the use of main- stream and assistive technology and other interventions to support the success of students with disabilities in postsecondary education and careers and (2) the development of facilities, computer labs, academic and administrative software, websites, multimedia, and distance learning programs that are welcoming and accessible to individuals with disabilities. The ATC focuses efforts at the UW; the DO-IT
as compared to first-year students. The lower expectation of seniorstudents suggest that engineering instructors should consider ways to engage upper level studentsin creative behaviors. Future research includes a longitudinal study to examine how creative self-concept changes in progression through the engineering curriculum.Introduction The concept of creativity has been an important research topic since the 1950’s and1960’s.1 Educators and scholars with diverse domains of expertise have studied creativity, theskills associated with creativity, and techniques to increase creativity in their respective fields.2-6However, even in the field of psychology, where the most research pertaining to the topic hasbeen produced, researchers
through the NSF sponsored Engineering Coalition of Schools for Excellence in Education and Leadership (ECSEL) program. The main effort made under the ECSEL program was centered on creating a projectdriven approach to teaching engineering design to incoming students 1 . In 1992, seventeen students participated in the pilot section of ENES 100, which was anchored around the design and construction of a swing set. Afterwards, five design projects were developed to form a design project cycle. Those projects were based on the development of a wind mill, a solar desalination still, a weighing machine, a postal scale, and a humanpowered water pump. The motivation was that the design project cycle would ensure that the projects remained fresh for
and HCI practitioners.IntroductionNumerous studies have identified reflection as an essential element in learning, development ofexpertise, and supporting motivation.[1,2,3,4] As Rodgers put it “reflection is identified as astandard toward which all teachers and students must strive” and “the cry for accomplishment insystematic, reflective thinking is clear”.[5] While reflection is generally understood as animportant part of learning, it is emerging as a critical area of scholarship in engineeringeducation.[1] Operationalizing the concept of reflection in classrooms in order to help engineeringstudents engage in reflection has been a challenge and educators are seeking ways to best addressthis issue.[6,7,8]Similar to educators in engineering
currently no easy methods tosynthesize research results, share research data, and indeed validate research studies effectively.In general, topics related to data and data sharing are largely treated as taboos in the engineeringeducation research space. Data sharing mechanisms to enable fundamental research inengineering education that has the potential to address systemic problems have not yet beenclarified. The research goal of this paper is to identify and understand patterns for data sharingmechanisms in order to inform design requirements for data sharing practices and infrastructurein engineering education.1. IntroductionThe scientific community is increasingly recognizing the necessity for sharing scientific databeyond the initial purposes
(system).The general system analysis steps to problem solving are outlined in Figure 1.The initial step is producing a diagram illustrating the system and clearly delineating all theinput/output variables (V) that affect the behavior of the system and listing all the pertinentindependent equations (E) between the variables. The difference in the number of variables andindependent equations establishes the number of degrees of freedom (DoF) in the system. TheDoF value can be used as a check point on the mathematical reasoning or formulation of theproblem. If the DoF is zero, the solution of the problem is determinate with only one solution;but if V > E, there may be several alternative solutions, which defines the problem as a designcase