inclusion.In a paper he says: “There are several other reasons why we got into engineering. One of them was the absence of what I describe here as ‘social engineering,’ where the professor/instructor is interested not so much in solving technical problems as in setting the world right—in his or her opinion. A second and related reason is that engineering (and the sciences generally) should be, like the scales of justice, blind. Engineering does not care about your color, sexual orientation, or your other personal and private attributes. All it takes to succeed is to do the work well.”He goes on to criticize the work of Dr. Donna Riley, head of Purdue’s School of EngineeringEducation, stating: “An excellent example is the establishment at Purdue
is the hidden curriculumsurrounding P&T. ‘Hidden curriculum’ refers to unwritten norms, practices, and expectationsrooted in traditional routes to academic advancement. Much attention has been paid in theliterature to the effectiveness of various types of mentoring in helping faculty navigate P&T [1] -[3]. We add to this literature by focusing on the role of pre-tenure peer reviews as mentoringopportunities. These reviews are often conducted in the third year and could serve as a mentoringmoment to help faculty gain a deeper understanding of P&T standards, expectations, and wherethey stand in their progress toward tenure. To learn more about the effectiveness of these reviewsin helping faculty prepare for P&T, we conducted
scholars from underrepresented backgrounds to pursue a degree in STEM. He has been a research affiliate on multiple NSF-funded projects surrounding equity in STEM. Brian’s research interests are college access, retention, marginalized students, community colleges, first-generation, STEM education, STEM identity development and engineering education.Dr. Henry Tran, University of South Carolina Henry Tran is an Associate Professor at the University of South Carolina’s Department of Educational Leadership and Policies who studies issues related to education human resources (HR). He has published extensively on the topic, and holds two national HR certifications. He is also the co-lead editor of the book How did we get
to attempt to solve the problem. To addressthis hesitancy, the first problem set is completed together and graded for participation.In Week 1, the simple series circuit shown in Figure 1 is introduced. The circuit is a model forthe VAWT. The main components of the VAWT are the magnets attached to a rotor and the wirecoils in the stationary base. As wind is caught in the blades, the rotor spins the magnets therebyapplying a changing magnetic field to the coils. The circuit is a simplification showing how thepeak generator voltage and therefore, the peak load voltage and dissipated power, can bepredicted.The problem is solved in steps, beginning with the dimensions and units for resistance, current,voltage, and power. Prior knowledge of
this case, the time constants are represented as s τ1 = -1/p1 andτ2 = -1/p2. The smaller of these time constants corresponds to the rapid deflection of the cupula,while the larger time constant characterizes the cupula's return to its nominal position.The deflection of the cupula in the semicircular canals of the ear generates sensory signals fromthe hair cells that are transmitted to the brain and the central nervous system. In response, the brainproduces reflexes that are needed to compensate for the externally applied force. Thiscompensation response is modeled as a control signal in this system, with the objective of reducingthe error between the nominal or vertical position of the head and the position it moves to underthe application of
: Structural organization and challenges," in 2012 ASEE Annual Conference & Exposition, 2012, pp. 25.954. 1-25.954. 13.[11] THECB. "Texas General Education Core Curriculum WebCenter." Texas Higher Education Coordinating Board. http://www.txhighereddata.org/interactive/UnivCourse/ (accessed 2022).[12] Texas Education Code 61.821-822 2022, Core Curriculum[13] Texas Administrative Code - Chapter 4, Subchapter B §4.21-4.31 2022, Coordinating Board Rules.[14] THECB. "Program Inventory Search." Texas Higher Education Coordinating Board. https://www.highered.texas.gov/apps/programinventory/ProgSearchForm.cfm (accessed 2022).
perceptions andbeliefs about teaching, and their teaching practices. See Table 1 for participant demographics.Table 1Participant Demographics Baseline characteristic Guided self-help n % Gender or Sex Woman or Female 7 33 Man or Male 6 29 Did not specify 8 38 Race or Ethnicity Asian 1 5 Hispanic or Latino 2 10 White 10 48 Did not specify 9 43 College Generation Status Continuing Generation 21 100 Employment Type Full
strategic technology policy, regulatory concepts, and systems thinking to real- world policy issues to assist relevant policymakers in their policy decision-making processThe MELP graduate program will prepare the next generation of engineers versed in policy andlaw systems and in the way emerging technologies interact with and enter these and otherexisting systems. Students will be able to communicate science and technology to policymakersand the public, analyze legislative developments and policy initiatives, drive regulatorycompliance, and anticipate technology trends.References[1] J. West et al. National Academy of Engineering’s 2019 US Frontiers of Engineering Symposium report, 2020, The National Academies Press, Washington D.C
Professor) Joi Mondisa, PhD, is an Assistant Professor in the Industrial & Operations Engineering Department and an Engineering Education Faculty Member at the University of Michigan. She earned her Ph.D. in Engineering Education and an M.S. degree in Industrial Engineering from Purdue University; an M.B.A. degree from Governors State University; and a B.S. degree in General Engineering from the University of Illinois at Urbana-Champaign. Prior to her graduate studies, she worked as a professional in the areas of manufacturing, operations, technical sales, and publishing for ten years. She also served as an adjunct faculty in the Engineering Technology Program at Triton College in River Grove, IL for seven years
, assessments should consistently beconsidered while discussing pedagogical improvements. To contribute to faculty developmentresearch, our study illuminates several metaphors engineering faculty use to discuss assessmentconcepts and knowledge. This paper helps to answer the research question: which metaphors dofaculty use when talking about assessment in their classrooms? Through interviews grounded inmental model theory, six metaphors emerged: (1) cooking, (2) playing golf, (3) driving a car, (4)coaching football, (5) blood tests, (6) and generically playing a sport or an instrument. Twoimportant takeaways stemmed from the analysis. First, these metaphors were experiencescommonly portrayed in the culture in which the study took place. This is
Paper ID #38899Practical Project in Linear Design Course During COVID-19Dr. Kenny Fotouhi, University of Maryland Eastern ShoreMahdi Joseph Fotouhi, University of Maryland Eastern ShoreJoel Michael Tomlinson, University of Maryland Eastern Shore ©American Society for Engineering Education, 2023 1 Practical Project in Linear Design Course During COVID-19AbstractPractical project design in the Linear Course in the Department of Computer Science andEngineering Technology is intended to be a real-world experience to help
incorporates education innovations into courses (Peer Instruction, Project-based learning), prepares next generation faculty through TA Training, serves as advisor to student organizations, and is committed to fostering a supportive environment for diverse students. Her research focuses on engagement strategies for large classrooms and developing K-16 curriculum in earthquake engineering and spatial visualization. In 2016 Lelli co-founded eGrove Education, Inc. an educational software company focused on teaching sketching and spatial visualization skills.Alexander John De Rosa (Teaching Associate Professor) © American Society for Engineering Education, 2022
environmental issues and impacts. 2. Identify and collect information at the various stages of the design process necessary for the design of a global development civil engineering project. 3. Prepare engineering documents such as engineering drawings and general notes, technical reports, and proposals. 4. Prepare and present professional oral presentations for a variety of audiences. 5. Perform effectively as a member of a multi-disciplinary team. 6. Translate engineering skills and knowledge into the context of an international development project.The syllabi for the courses also indicate that they contribute to the student achievement of the sevenABET Student Outcomes. (6)Challenges of Offering the Global Capstone
additional resources to first-year women enrolledin historically challenging required general chemistry and physics classes for engineers [7]. Thisprogram also has emphasized the role of upper-class women as peer educators to increaseretention of first-year females in engineering [1]. The tutors who have worked in theConnections Program have shown a high level of commitment to SI– they attended lectures,hosted weekly review and homework help sessions, and prepared review sheets based on classlectures to promote success within the freshman class. Although this program’s efficacy withfirst-year tutees has been documented in detail, its impact on the upper-class tutors, particularlyfemale tutors, has yet to be explored. In order to clarify potential
students hands on training in a STEM related field. Mr. Haefner has 13 years’ experience teaching college STEM courses. He has taught construction management at Westwood College in Chicago; mathematics at Mid-Michigan Community College and Cornerstone University in Grand Rapids, MI. Mr. Haefner has taught algebra, engineering statics, several HVAC courses, several CMT classes, as well as AutoCAD and Advanced Manufacturing using SolidWorks. Mr. Haefner also has over 15 years; experience in the fields of civil, geo-technical and environmental engineering at companies including: Testing Service Corporation in Carol Stream, IL; Singh & Associates in Chicago, IL, Weaver, Boos and Gordon in Chicago, IL; STS Ltd. In Grand
learning experiences within a capstone engineering courseIntroductionComputational modeling and simulation is a skillset that both academics and industryprofessionals desire to see in graduating engineers [1]. Additionally, there have been nationalcalls to increase computation within STEM education at all levels [2]. However, currently thereare multiple barriers for entry to getting computational modeling experiences into engineeringeducation such as lack of time within courses and a bloated engineering curriculum [3]. In thefall of 2018, a designed modeling-based learning experience, intended to be inserted into alreadyexisting curriculum, was piloted in a senior level process design engineering course. This studylooks at how
encouragement from the mentor. Our initial effortsattempted to observe the ‘direction’ and ‘support’ components of mentoring relationships via theinteractions and/or collaborative works among mentors and mentees in real time. A total of 23items – 13 items to observe ‘direction’ and 10 items to observe ‘support’ – were generated byreferring to the example situations provided from the model.Figure 1. Amount of support and direction in lab-based engineering mentoring (adapted from [9])This study did not have a theory-driven hypothesis or research questions, but instead leveragedthis model with the purpose of understanding the development of mentoring relationships throughthe collection of empirical evidence on 'direction’ and ‘support’ components
:100 25 Total lecture time 100 slides 135 Generate Statements and Generic Constructs (Optional reading -- -- and lab assignment)The 100 lecture slides are presented in the appendix at the end of the paper. Please note that wehave made some minor changes to the lecture PowerPoint slides to get a better fit for this paper.We have also added some text for clarification purposes.From our experience in teaching this class for many years, we recommend that the following twopoints should always be taken into consideration in order to avoid common confusions:1- Students should frequently be reminded that logic gates in FPGAs are realized using Look- Up
during the twoconference days, however, the 518 “top” tweets were used for this study’s content analysis.Figure 1. Total tweets with the hashtag #ThinkBigDiversity, generated over the course ofthe 2015 PROMISE Summer Success Institute, a 2-day conference.Top Tweets are identified by an algorithm in Twitter that looks for relevance based on keywords,similarity, popularity, retweets, replies, and other factors. Figure 1 shows the total number oftweets for the two-day PROMISE Summer Success Institute (SSI) conference. The first day ofthe conference included an evening orientation program for speakers, and a session for a smallnumber of advanced doctoral students. The second day of the conference is considered theprimary day for activity, and the
problem, not only for equity but also for filling the number ofopen jobs in STEM. There is simply too much demand for STEM professionals in this countryto have a degree completion rate issue with any given demographic.The general persistence literature has illuminated many factors that affect student success inpostsecondary education. Reason’s (2009) excellent review of the literature lays out aframework for college persistence adapted from Terenzini and Reason (2005, Fig. 1). Thisframework takes into account “student precollege characteristics and experiences, theorganizational context, the student peer environment, and, finally, the individual studentexperience” (Reason, 2009, p. 662). There are well-established differences in patterns
will have positive impacts on training and educatingstudents in areas of design optimization, computational, and simulation methods.IntroductionAccording to the Oxford Dictionary, the word “optimize” in a general setting can be defined asmaking the best or most effective use of a situation, opportunity, or resource without violatingany constraints. Modern optimization methods were pioneered by Courant’s paper [1] on penaltyfunctions, Dantzig’s paper [2] on the simplex method for linear programming, and Karush,Kuhn, and Tucker, who derived the KKT optimality conditions for constrained problems [3]. Theuse of nonlinear optimization techniques in structural design was pioneered by Schmit [4].Today, many engineering problems involved in design
properly tackling the ethical conflict and enable engineeringstudents to align their decisions with their ethical preferences.IntroductionPracticing engineering consists of making many engineering decisions to ultimately realize asystem that satisfies certain needs [1], [2]. Some of those decisions involve elements that affecthuman lives [3]. While the sought effect is generally positive, engineering also has the potentialto generate negative outcomes to society. That double-edged sword arguably leads to theimportance of identifying and justifying that which is morally right and wrong - engineeringethics.This paper focuses on the ethical dimension of engineering stemming from design decisions thatmay affect human lives. Specifically, we ask how
.), andfighting for this world to come true, for its social-technical construction to realize.This democratized (or popular) technological development that grassroots engineering stands forand is committed to fostering is grounded on the prevalent understanding of engineering practiceand technical design that philosophers, sociologists, and historians of technology currentlysustain. Such understanding is fourfold: 1) Any technical problem allows for more than one solution. Food production, for instance, can be done according to agro-ecological techniques and technical arrangement or according to the mainstream green revolution paradigm; electricity can be generated (solely) on large and isolated power plants (macro
, and environmentally more sustainablesociotechnical reality [10], [15]. The permanent staff of Soltec encompasses two teachers (with abackground in engineering), four technical-administrative officers (two of them with a Ph.D.degree and authorized by UFRJ to do teaching and research), and one graduate student. Thisteam has a transdisciplinary background in Engineering (4), Law (1), Psychology and Journalism(1). The team also includes four to five graduate students from the Master in Technology andSocial Development program (explained below), collaborating in the management of Soltec’sprojects and office duties as part of their scholarship’s research commitments. Further, the teamcounts with six volunteers, with background in Engineering (5
led theexperimental class and performed data analysis.Module DescriptionThe Social Relevance and Global Context module was designed for integration in theMechanical Engineering 400 course, to be used in the Heat Exchanger section of the course, nearthe conclusion of the 16-week semester. It is framed around a student-faculty project that waspreviously developed at our university and implemented in the Dominican Republic (DR) toprovide affordable water heating for rural communities [14]. This module has three parts: 1. Pre-class homework: Technical Calculation 2. In-class activity: Designing Beyond Ourselves 3. Post-class memo: Reflections on Contexts1. Pre-Class Homework: Technical CalculationA week prior to the experiential class
deciding what to cover in a course. Courses have been added to curricula to improveFE scores [4, 5, 6]. The technical content of several programs (typically general engineeringprograms at state universities) was selected from the beginning to cover the FE [7, 8, 9].This project arose in a new mechanical engineering program. My intention was to use the FEExam Specifications as a single simple source on what one might expect in a mechanicalengineering program. The FE also seemed like a straightforward, objective assessment. However,as I tried to develop learning objectives that comprehensively covered FE Mechanical content, Ifound it necessary to consult multiple sources beyond the Specifications. Furthermore, seeinghow competency is assessed on the
the goals embraced by the greatest university communitywith respect to engagement and student retention. At the conclusion of the project we willcompile the data generated along with student reflections to determine if our goals have beenachieved.As part of Goal #1, we plan to track those students involved in the group to determine if theyremain in STEM through graduation. As this project is in beginning phases, we do not yet havedata for this Goal. For Goal #2, we have provided students with tools and techniques to supporttheir efforts to change the culture for females in engineering and science. During discussion,students identified several techniques which they thought would be most useful to accomplishGoal #2. Avenues selected included
semesters. BE 1252 used to have a career assignment, consisting of three parts: an interview with a BE alum in an area in which the student was interested, research on the student’s prospective career (general sources like the Occupational Outlook Handbook and technical research) and a plan for what the student would do to ready for their career during the ensuing 3-5 years. Student feedback indicated that students felt that the career assignment would be better in BE 1251 so that students compiled this information in their first semester to better prepare them for college even earlier. The increasing collaboration led to moving the career assignment to BE 1251; career information is carried
, there are vast applications of robots for“demonstrations” or “labs” [21]-[22]. These are mainly for illustrating robotic applications or therobotics-related technologies/concepts such as robot control, automation, robot mechanisms, pathplanning, motion generation, etc. rather than illustrating any specific subject matter such as themechanical engineering concepts [21]-[22]. Lesson design and created illustrations involvingrobots are also not so appropriate. Again, the state-of-the-art robot-based STEM education mainlyfocuses on K-12 education [1]-[6]. It is realized that such robot-based education for college orhigher level especially for undergraduate mechanical engineering courses is still not prioritized[13]. Thus, it is to argue that a
through the use of commercial finite element method(FEM) software and 3D printers have become common tools to reverse engineer and developlighter products in the industry. Reverse engineering is a process in which the starting point ofa new design starts with an existing design [1]. These tools were incorporated into a designcourse in a Mechanical Engineering program to design and validate a lighter version of abracket.3D Laser scanners are used to obtain the geometry of existing parts determining the position ofa scanned area by sensing the reflection of a laser on a surface taking into account the period ofreturn of the light ray and the angle of impact [2]. The points obtained during the scanningprocess are used to form surfaces that can be