production and retention of Science, Technology, Engineering and Mathematics (STEM) talent is currently a major threat to the country2. In fact, to address heightened concern regarding the United States’ global position, several national efforts have been implemented to increase the number and diversity of students pursuing degrees and entering STEM careers. In 2012, the President’s Council of Advisors on Science and Technology announced that by 2022, the country would need 1 million more STEM professionals than projected to be produced18. One critical asset to reaching this capacity lies in the cultivation of competent, adaptable engineers prepared
graduation.Attainment of proficiency for each outcome is measured using embedded indicators based onmapping to the six levels of Bloom’s Taxonomy 11,12. Table 1 summarizes the 22 CEE Page 26.1465.3Table 1 Summary of Citadel Civil Engineering CEE Department Program Outcomes Dept. Program Outcome Dept. Program Outcome with Professional Skills Linkage 1. Mathematics 2. Science 3. Solid & Fluid Mechanics 4. Experiments 5. Problems Solving a.) Techniques b.) Tools Design 6. a.) Environmental 7. b.) Structural 8. c.) Land Development 9. d.) Transportation 10. Contemporary Issues 11. Project Management
shown in Figure 1, the system allows field users (e.g. frontline managers) to retrieve dailytasks with associated drawing information from existing databases. Figure 1. Conceptual Diagram of the NFC-AR System The system also uses an AR technology where users obtain graphic and textualinformation using markers attached to the object (e.g., pipes or walls). As for the reading marker,the team uses NFC technology, whereas other marker reading technology requires additionalreading devices (e.g., RFID reader), the NFC reader is usually embedded in smart phones, whichmeans that there are no additional costs for the reading devices. When a marker on site isscanned, a 3-D model is displayed on a smart phone or tablet PC
degrees di = deg(vi ). De-fine the degree sequence of G to be the non-increasing sequence {di1 , · · · , din }. For example, Figure 1 shows a graph whose degrees sequence is [2,2,2,1,1]. Thegraph contains 5 vertices. The number of edges, |E|, can be calculated, deg(vi ) = 2|E|.In the above sequence, there are 2+2+2+1+1 2 = 82 = 4 edges. Graphs of this nature canbe used to represent a range of social and natural phenomena including the worldwide web, food chains, and the famous ”small world” problem (see Strogatz, 2001 fora review). Here, we use them to represent classrooms. Figure 1: Graph with degree
about allowing time in three classperiods in the semester, at the discretion of the facilitators. Each date was dedicated to the VAIwriting exercise, the DEI student panel, or the post-intervention survey. Figure 1 shows theoverall process to deliver the interventions and survey in the 22 FIGs that participated. The firstclass period (50 minutes) allotted 10 minutes for the study to be introduced and to seek consentaccording to Institutional Review Board requirements for accessing grades and GPA in thefuture, followed by 20 minutes for the VAI writing exercise. The VAI has been found to be mosteffective when given before a challenging academic task. While this was something that ourstudy tried to pursue whenever possible, it was difficult to
results. For Page 26.297.2example, the joint approach resulted in financial breakeven nine years ahead of theentrepreneurial engineering startup approach. Bristol has become a Broadband Community witheach customer having access to 1 gigabit per second of bandwidth capability; and the BaldrigeBased Approach has expedited efforts to provide a highly reliable, effective and efficient smartgrid power system. The lessons learned from BTES’s continuing journey are translated intocoaching points in this article. To the extent others choosing to implement the conceptualframework offered in this article find these coaching points helpful, a significant
Molecular Biophysics at the University of Vermont under David Warshaw. His research interests include novel assessments of educational efficacy, the molecular basis of cell movement, and the mitigation of infectious diseases.Miss Anna S. Blazier, University of VirginiaAlyssa B. Becker, University of Virginia c American Society for Engineering Education, 2016 Work in Progress: The Effect of Immersive Design-Build Experiences on Knowledge of the Engineering Design ProcessKnowledge of the engineering design process is integral to all engineering fields. Explicitdidactic approaches exist for instilling students with this knowledge (see an excellent review byDym, et al. 1), and project-based
, assignments, reports and projectscommonly used by instructors to assess student learning. Prior to teaching a Civil Engineeringcourse, faculty pre-identifies specific Embedded Indicator tools for use in measuring each goalcontained in the course syllabus. Table 1 outlines acceptable tools faculty can use to measureappropriate levels of cognitive performance. Throughout the semester, students are assessedusing pre-designated tools. If average student performance for an Embedded Indicator tool ismeasured as 75% or higher, it is concluded that students have collectively achieved appropriatelearning requirements and met departmental standards. Example work from three students(good, average, poor) for each tool is included with an Embedded Indicator
selection structures,modestly beneficial in assessments using repetition structures, and of no benefit in assessmentsusing just sequence. Despite the learning benefit, a majority of students and instructors wereresistant to using case-studies in this course and thought that reading stories does not belong in aproblem-solving/computer programming course. Therefore, novel approaches to engage studentsand instructors in interdisciplinary thinking and practice are necessary.1. Student Stories as Contexts for Problem-Solving and Computer Programming CoursesThe PS course is required for all Computer Systems first-year majors, but it is also taken bystudents with other majors. In the first part of the PS course, students learn basic proceduralprogramming
communicatewith each other effectively. Undergraduate research activities included the design and integrationof effective mechanical systems and electronic systems; building; testing; and programmingphysical mechatronic products made by each design team.Keywords: Embedded system, mechatronics technology, undergraduate research projects.1. IntroductionEmbedded systems have become very popular in recent years in product designarena due to the dramatic reduction in prices of microprocessors andmicrocontrollers. An embedded system is a stand-alone specialize computingdevice or system designed to perform limited computing functions reliably,securely and cheaply [1]. Robot controller is one of the examples of an embeddedsystem in which the controller perform
. ©American Society for Engineering Education, 2025 Developing research communication competencies for engineering education graduate students through a co-curricular community of practiceAbstractEngineers and engineering educators must communicate effectively across a range of genres,situations, and professional contexts, including industry, policy- and decision-making, andacademic settings. Developing these abilities means producing the “disciplinary conventions ofwriting in one’s field” [1], which are taught across contexts in a variety of ways [2]; [3]; [4]; [5].Although studies demonstrate that engineering communication instruction is valued, thesestudies focus on training students to communicate in
decisions to useAI tools in their classrooms. This project asks the overall research question: How do K-12teachers perceive AI tools and their impact on the workforce? To answer this question, our one-year project leveraged a national survey of K-12 educators’ perceptions of AI using an ecologicalagency framework.Theoretical FramingEcological AgencyThe guiding framework of our project is the ecological agency framework developed by Biesta etal. [1]. In the framework, agency is conceptualized as an individual’s ability to act purposefullyand feel in control of actions and the outcomes of those actions [1]. In this project, weconceptualize K-12 teachers as agents of change for the adoption of AI tools, who may feel moreor less of a sense of agency
students receive the knowledge they require to move from theComputer Science academic setting into the professional setting, which largely utilizes suchGen-AI tools. Thus, this will prepare the next generation of computer scientists to be effectiveAI-augmented professionals.1 IntroductionArtificial Intelligence (AI) introduces challenges to the traditional educational landscape.Educators need to teach students crucial concepts for their field but also need to prepare studentson how to use relevant tools for their future in the workforce. One such tool is the emergence ofLarge Language Models (LLMs) like ChatGPT-4, Copilot, and Claude, which show a significantleap in AI capabilities. Such technologies require educators to reevaluate teaching
century, the CE engineering landscape is at the cusp of a majortransformation brought about by the confluence of a number of powerful forces, including (1) anincreasingly more complex and interdependent design and construction environment, (2)challenges in climate, environmental, and socio-economic patterns, (3) innovations in materialsand construction/design methods, and (4) growing computational capacities paired with theaccumulation of large amounts of performance data (with cheaper sensors) coinciding with therevolution of the artificial intelligence (AI), machine learning (ML), internet of things (IoT) anddata analytics [1]. We strongly believe that CE engineering education needs a paradigm shift thatis commensurate with these rapid
, engagement and knowledge retention. ©American Society for Engineering Education, 2025WIP: Impact of Metacognition Focused Activities on Development of Learning Habits in PhysiologyIntroductionThe ability to monitor and assess one’s own knowledge and skills plays a pivotal role in learning[1]. Several have previously described the beneficial effect of this type of metacognitive toolthrough interventions such as exam wrappers, reflections and self-surveys [1-3]. Unfortunately,bioengineering curricula often do not give students sufficient practice developing these tools. Formany students, it can be easy to fall into the trap of implementing ineffective learning strategiesrepeatedly
University of Iowa (1997) and a Doctorate in Education from Northeastern University (2022) where she completed her dissertation about elementary STEAM education before and after COVID-19. She also worked as a professional engineer in the athletic footwear and medical device industries for 10 years before joining the faculty at Northeastern University in 2006. ©American Society for Engineering Education, 2025 Engineering PLUS: An NSF Eddie Bernice Johnson INCLUDES AllianceResearch shows that teams with gender and racial diversity are highly effective when innovationand problem-solving are critical goals [1]. Despite a wealth of best practices published over thepast several decades on how to broaden
to programming.Two validated scales were used to assess changes in both computer programming andengineering self-efficacy: 1.Computer Programming Self-Efficacy Scale (CPSES): Measures programming confidence across constructs such as independence, persistence, and complex task handling [9]. 2.Longitudinal Assessment of Engineering Self-Efficacy (LAESE):Assesses confidence in engineering-related tasks, career expectations, and sense of belonging [10].The instruments were administered as pre- and post-surveys to capture baseline andpost-intervention self-efficacy data. The CPSES and LAESE surveys both used a 7-point Likertscale ranging from “not confident at all” to “absolutely confident.Preliminary
, called LEGACY, which targeted one of the communities most underrepresented incomputing (Black young women), providing them with physical, academic, and social resourcesto overcome the lack of preparatory privilege, while building awareness of CS and realizing theirpotential for participation in CS and other STEM-related occupations.IntroductionCareers in Computer Science (CS)-related areas represent many of the best-paid jobs in thenation. Yet, Black Americans comprise less than 5% of the workforce at the most popular U.S.software companies, with Black American women occupying less than 1% of those positions [1].LEGACY stands as a groundbreaking program that educates young Black female high schoolstudents in CS in a way that is unique to Alabama
and graduation rates in STEM (science, technology, engineering, and mathematics) arecritical to the innovation economy and to address complex global problems through research anddevelopment. However, on many university campuses nationwide, success rates in attainingSTEM credentials are typically lower than non-STEM fields, with many students leaving beforecompleting their degree. Additional barriers are faced by low income and commuter students,especially those that live at home [1]. While a strong sense of belonging is known to increaseacademic persistence, this sense of connection can be more difficult to achieve on a commutercampus, where students are physically on campus for limited times and their support networks,including family and
, leadingto poor performance [1], [2]. Misunderstandings of foundational concepts such as Kirchhoff's Laws,Ohm's Law, and voltage often persist despite prior coursework in physics or math [3].The Circuit Teaching with Real-World Analogies (CTRWA) framework was developed to addressthese issues [4]. CTRWA systematically applies analogies to help students relate circuit conceptsto familiar real-world systems, such as comparing voltage to water pressure or using a running trackanalogy for Kirchhoff’s Voltage Law (KVL). This paper evaluates the preliminary effectiveness ofCTRWA in improving understanding, addressing misconceptions, and building student confidence.MethodologyThe inventory of Circuit Teaching with Real-World Analogies (CTRWA) was developed
courses together at the same semester that their counterparts do not usually takeconcurrently. The methods used in this paper, frequent pattern mining and visualization, helpuncover student pathways and trajectories with direct impact for advising prospective and currentstudents. The findings can also be used to improve engineering programs’ curriculum.1. IntroductionAs higher education institutions continually make investments to improve the quality of theiracademic programs, it has become increasingly important to develop a better understanding offactors that shape students’ success. Thus, researchers examine the impact of demographic,socio-economic, and environmental factors, on student success1. Within STEM education, andespecially within
Degrees in Science, Technology,Engineering and Mathematics (STEM)1. The Undergraduate Research Experience is at the centerof the LSAMP Scholar experience at CUNY and non-CUNY sites. Each year over 140 Scholarsare engaged in a mentored research experience with a CUNY faculty member1.It is well documented the importance and benefits of STEM students having some type ofinternational experience2, 3. Additionally, higher education is moving forward with embracing theconcept of educating engineers as a global citizen4. Therefore in 2008 an approach wasimplemented to allow LSAMP scholars to integrate an International Experience into theirundergraduate studies. The multi-pronged approach consists of, 1) collaborating with existingprograms within the NSF
they be more engaged in the course? Data from a MOOC entitled TheEngineering of Structures Around Us is used to answer these questions and to guide teaching ofthis and other courses.Active LearningA recent meta-analysis that included 225 studies found that student performance and retention inscience, math, technology, and engineering courses increased when active learning strategieswere used.1 Student performance on exams was found to be 6% higher when active learning wasused and students in courses that included active learning were 1.5 times less likely to fail thecourse.1 Other studies support the finding that active learning results in improved engagement inengineering and across disciplines.2, 3, 4What is active learning? Active learning
, screen brightness, features, shape, etc., whileworking under a budgetary constraint of $200. Once the students’ submit their designthey are notified if they have achieved the sales goals of the client. Successful groupsprinted out their results and submitted them to the PI during their field experience. Figure 1. Edheads Students built upon this experience by learning and developing 3-D modelingskills using a popular solid modeling software. As an introduction to solid modeling, thedesign team’s first challenge is to model an Apple iPhone™. This phone was chosen dueto students’ familiarity with the model and the relative unsophistication of the phonesoutward features. The design features a basic sketch (rectangle), and extrusion (to
: automotive communications network, intra-vehicle communications, controller areanetwork (CAN).1. IntroductionThe automotive industry is one of the largest economies in the world, producing millions of unitsa year, and employing a large number of engineers as well as graduates in a wide variety offields. Significant improvements in vehicles functionality, safety, performance, and comfort weremade in the past decades. As a result, modern automotive electronic systems contain a complexnetwork of electronic control units (ECU), sensors and actuators distributed and embedded inalmost any vehicle. Intra-vehicle communication describes the exchange of data within the ECUsinvolved in specific vehicular applications. The increase in the number of ECU (8-10
andselected undergraduate students. The goal of the course is to introduce students to the field ofphotovoltaics. The course begins with the fundamentals of semiconductors, solar radiation, andthe operation of solar cells. It introduces students to the architectures of different PV systems andsystem components such as batteries, inverters, solar panels, etc. It provides technical, practical,and economic considerations in designing PV systems. Upon completion of this course, studentswill be able to: 1. Demonstrate an understanding of the operating principles of solar cells; 2. Calculate the power produced by the PV module as a function of module tilt and azimuth angle; 3. Describe the basic components and main performance
question, conflict, and reasoning episodes to explore the connection between team dynamics, quality of collaboration, and individual learning outcomes. These data were analyzed using a quantitative discourse analysis approach. We found that question type episodes has a significant impact on learning outcomes.IntroductionSolving real-world problems require interpreting data and making decisions effectively. Eventhough decision-making in an uncertain decision situation with incomplete data is an essentialskill across many domains, prior studies have shown even the experienced engineers andscientists have difficulty in eliminating alternatives and conducting successful decision analyses[1]–[3]. Problem solving and decision
reputation for quality work that secured followon Defense projects as will be described in the paper. Introduction Batteries of several chemistries provide a reliable source for the numerous handheld devices utilized throughout the world today. One such chemistry, the Lithium Carbon Monofluoride chemistry, produces a cell that provides a relatively flat voltage discharge curve for a majority of the discharge profile. For example, at a continuous discharge current of 500mA and at a temperature of 60°C, the discharge curve of a LiCFx Dsized cell used in this project is shown in Figure 1
P. Sloan Foundation, and industrial sponsors. Dr. Ren has broad research interests in biotechnology and biofilm control. c American Society for Engineering Education, 2016 Promoting engineering education using a state-of-the-art research facility Grace A. Altimus1 and Dacheng Ren1,2,3,4 1 Department of Biomedical and Chemical Engineering, Syracuse University, Syracuse, NY 13244, 2 Syracuse Biomaterials Institute, Syracuse University, Syracuse, NY 13244, 3 Department of Civil and Environmental Engineering, Syracuse University
also share their plan for the future research.IntroductionThe primary goal of engineering programs is to prepare the engineering students for theirprofessional careers in the global setting 1. Ideally, the educators should teach in a well-managed,student-centered environment with reasonably structured framework. They should stressfundamental knowledge, equip the students with solid skills and expose them to cutting-edgetechnologies 2. It has been found that obtaining practical knowledge from college is morebeneficial to the students’ professional career than mastering any new technology 3. An effectivelearning environment should help the students enhance their ability to solve practical problems 2.Globalization of the engineering enterprise