Paper ID #22137The Diversity of College Engineering Degrees: The Role of Geography andthe Concentration of Engineering Degree ProductionDr. Rajeev Darolia, University of Kentucky Rajeev Darolia is Associate Professor of Public Policy at the University of Kentucky. He holds a PhD from George Washington University.Prof. Cory Koedel, University of Missouri Cory Koedel is an Associate Professor of Economics and Public Policy at the University of Missouri.Dr. Joyce B. Main, Purdue University, West Lafayette (College of Engineering) Joyce B. Main is Assistant Professor of Engineering Education at Purdue University. She holds a Ph.D
-specific knowledge and developing their multidisciplinarycommunication, problem-solving, and research skills.Course design and executionAccording to Bringle and Hatcher [1], service-learning is defined as a “course-based, creditbearing educational experience in which students (a) participate in an organized service activitythat meets identified community needs, and (b) reflect on the service activity in such a way as togain further understanding of course content, a broader appreciation of the discipline, and anenhanced sense of personal values and civic responsibility” (p. 112).” Service-learning has beenproven to benefit students in many ways. More specifically, service learning has been found toenhance students’ collaboration skills [2], civic
MSCE/JD dual-degree programs.Dr. Decker B. Hains, Western Michigan University Dr. Decker B. Hains is a Master Faculty Specialist in the Department of Civil and Construction Engi- neering at Western Michigan University. He is a retired US Army Officer serving 22 years on active duty with the US Army Corps of Engineers and taught at the United States Military Academy at West Point (USMA). He earned a Bachelor of Science degree in Civil Engineering from USMA in 1994, Master of Science degrees from the University of Alaska Anchorage in Arctic Engineering in 1998 and Missouri University Science & Technology in Civil Engineering in 1999, and a PhD in Civil Engineering from Lehigh University in 2004. He is a registered
Wisconsin Association for Environmental Education.Mr. Joel B. Shoemaker, Madison Area Technical College Joel Shoemaker is a Wisconsin state-certified Master Electrician with over 18 years of experience with photovoltaic systems, and currently serves as a Co-Principal Investigator for the National Science Foundation- funded Center for Renewable Energy Advanced Technological Education (CREATE). He has been teach- ing at Madison Area Technical College for the past 12 years. In 2011, the Wisconsin Bureau of Ap- prenticeship Standards and the Wisconsin Apprenticeship Advisory Council recognized Shoemaker as a Centennial Educator. He has taught solar photovoltaic trainer programs offered by CREATE and So- lar
highenrollment and high-repeat rates (30%).A voluntary oral exam was introduced to students after the midterm exam. During theoral test, students were given problems of similar difficulty level as the examplesdiscussed in class. Students were given 8 minutes to work out the steps to solve theproblem without calculating any number. Students’ performance was graded to receiveup to 5% extra credits towards their overall grades. Scores in the midterm and finalexams, as well as overall course grades were collected to compare between students whotook oral exams (Group A) and those who did not (Group B), while student perceptionsof the course were also examined using surveys. 40 out of 76 students (52.6%)participated in this oral exam. While the midterm exam
)compares the results from the freshman group and the senior group. 76% of freshmen reportedthe level of familiarity as very/somewhat, 24% of freshmen reported slight and not familiar. 35%of seniors reported the level of familiarity as very, 65% of seniors reported the level offamiliarity as somewhat. Comparison between the two majors shows that there is higher percentof mechanical students in the category of very familiar (Figure 1b). (a) (b)Figure 1. Survey results on how familiar students are with the term Sustainability: (a)comparison between the freshmen and the seniors, (b) comparison between the Civilengineering students and Mechanical Engineering StudentsIn terms of the
online and the in-person sections. The third research question descriptivelycompared the overall grades between the in-person and online sections for Fall and Winterquarter to assess how students performed in each course format.Results and AnalysisFigure 1 compares differences in student ratings of the importance of each course feature: (a)lecture videos/lecture attended in person, (b) lecture slides, (c) project related items, (d)quadcopter video tutorials, (e) weekly quizzes(online section only), (f) industry speakers, (g)homework assignments, (h) office hours, (i) lab sessions, and (j) Facebook forum discussion. InFigure 1, each bar represents the average score/mean of student ratings on a 1 to 5 scale. Errorbars represents the standard
half the tolerance to the nominal dimension while half the tolerance issubtracted from the nominal dimension for LSL. All those computed characteristics are shown inFigure 2.In this case, neither of the equations (1) or (2) were satisfied and therefore the instrument shouldbe discarded. Figure 1: Measurement data, average and specification Limits (a) (b)Figure 2: (a) Measurement statistics (b) Distribution around the average A second illustration of problem solved by the students was the solution of the heatequation in Heat Transfer with known boundary and initial conditions. The goals of this exerciseincluded the numerical solution of the heat equation
strong pre-college background inmath and science, so many students from low-income backgrounds enter collegeunderprepared to begin engineering curriculums. When coupled with a lack of familiarity with theculture of higher education and rising tuition costs, the result is a much higher attrition rate forthese students. Ohland et al. (2012) found that economically disadvantaged studentsmatriculate and graduate from engineering programs at lower rates than students fromhigher-income backgrounds.In this paper, we will discuss a model for improving the inclusion and retention ofhighly-motivated but underprepared students in engineering. Evidence from the EngineeringGoldShirt Program at the University of Colorado Boulder (CU-B) and the Washington
many GEs used in previous works,this focuses on the list of GEs that have been used in in the areas of CS and SE education. Basedon our literature review, we identified eleven commonly used GEs in the educational contexts.We have provided brief descriptions of each GE below.Points (Pt): These are the rewards that are assigned to the students for the completion ofa particular task. The point system is used as measure of success or an achievement.Badges (B): These are represented as a token of achievement. These are also rewards thatare assigned to students when they complete a particular task or when they reach a goal.Leaderboards (Lb): These create a competitive environment among the students. Aleaderboard is the board that displays the
required to address these tradeoffs. (Student Outcome C, G), 4. Formulate the techniques currently used throughout industry in addressing the many complex supply chain problems in multidisciplinary teams. (Student Outcome D.Considering the course learning outcomes, following learning outcomes were developed for thelearning activities that will be accompanied with the IMSG.Activity Learning Outcomes: a) Solving Economic Order Quantity (EOQ) equation b) Identifying Reorder Point c) Identifying and interpreting important parameters of an inventory management policy d) Developing conceptual understanding about Fixed Period Review policy e) Developing quantitative understanding about Fixed Period Review policy f) Developing visual
wherever you want, and orient the axes however you want;the value of a scalar remains the same.*If one desires, one can represent this invariance with an equation. Consider two orthonormalcoordinate bases, S and S , which differ by an arbitrary proper, rigid rotation, as shown inFigure 1(a). If a is the value of a certain scalar (such as your pen’s mass) in S, and a is the valueof the same scalar in S , then a = a. (1)This is the transformation rule for scalars under proper, rigid rotations. (a) (b) Figure 1. (a) Two orthonormal coordinate bases S = {ˆ ˆ3 } and S
) b) Figure 2: Water flume (a) before experiment begins and (b) with laser turned on.IV. Data ProcessingPIVLab is an open-source toolbox for MATLAB that processes the images captured andprovides quantitative information about the flow. A selected sequence of frames are importedinto PIVLlab where preprocessing options such as masking can be done. The program calculatesvelocity vectors based on the displacement of particles between image pairs, and a vector map issuperimposed over the interrogation windows. A calibration image is required to tell thesoftware the relationship between pixels and physical space. Post-processing options such asvector validation can be done to exclude erroneous vectors, and blank spaces can be filled
,given a plot of outside air temperature versus time. Assuming the average inside air temperaturewas 70°F and with further assumptions about roof and wall construction, students were requiredto visit the library to a) estimate the total outside wall plus roof area and b) the window glassarea and glass construction (single or double pane). Once they determined the total Februaryheat loss, they calculated the associated cost by assuming the energy came from burning naturalgas with a conversion efficiency of 80 percent. In the subsequent offering, a service learning project was incorporated. Service learningis a cornerstone activity in numerous courses, supporting the University’s mission to provideexcellent student centered education within
following ABET studentoutcomes: (a) an ability to apply knowledge of mathematics, science, and engineering; (b) anability to design and conduct experiments, as well as to analyze and interpret data; and (c) anability to design a system, component, or process to meet desired needs within realisticconstraints such as economic, environmental, social, political, ethical, health and safety,manufacturability, and sustainability. Each type of course module will be categorized into threedifferent levels, including freshmen (entry level), junior/senior (mid-level), and graduate students(advanced level). The course modules will cover both lecture and project. For manufacturingrelated material standards course module, the three levels include:1) Entry level
alsoprovided sample cores for inspection and testing.Project specificationsIn order to successfully design an alucore testing machine, a team of ME and EE studentsredefined the problem, made sure that they understand the customer’s needs, and determined theproject specifications as precisely as possible. The major considerations that students agreedupon with the industry partner were as follows: 1. Alucore tube information a. Logan Aluminum produces approximately 150 cores per hour b. The test will need to be run once every 50 cores c. OD sizes of cores are 15.93 and 19.93 in d. The length of the cores varies from 10.5 to 61.00 in 2. General requirements a. The machine operation and core testing must be
environment as men, and theymight not develop a strong sense of self-determination and internalization of the learning.Table 4. Descriptive statistics and gender-based comparisons of SIMS subscale measures for women and men incourses with (a) traditional pedagogy, (b) mixed pedagogy, and (c) non-traditional pedagogy. Between groups p-values are from independent samples t-tests, and effect sizes are Cohen’s d. Small (*) and medium (**) effect sizesare indicated. ns = not significant. a. TRADITIONAL PEDAGOGY Men Women Effect (N=1606) (N=2366) size Motivation Subscale
Paper ID #21476Theory into Practice: A Collaboration between Lipscomb and TraneMiss McKenzie Caroline Lawry, Lipscomb University McKenzie Lawry is a senior mechanical engineering student at the Raymond B. Jones College of Engi- neering at Lipscomb University. c American Society for Engineering Education, 2018 Theory into Practice: A Collaboration between Lipscomb and TraneThis executive summary details a poster to be presented at the ASEE 2018 Annual Conference in theCollege Industry Partnership division.AbstractThe Raymond B. Jones College of Engineering at Lipscomb University is currently building a
problems themselves is typically not much different from writing a standardexam. Even when superheroes are involved, I try to keep dimensions, weights, forces withinrealistic parameters. To reduce development time, I have been able to repurpose some drawingsfor subsequent exams (eg. the Statics & Dynamics exam in Appendix B was re-written as aphysics exam in Fall 2017), and I use the same final exams each semester. Samples of pastexams are available in Appendices B-E.When selecting a theme, there are several potential approaches. The calendar can suggeststorylines – such as an imaginative costumed child in late October or movies like How theGrinch Stole Christmas in December. Alternatively, movies targeted to families that involveaction or
. Students' interest in their misconceptions infirst-year electrical circuits and mathematics courses. International Journal of ElectricalEngineering Education, 47(3), 307-318, 2010.[8] Koontse, R. D. The role of mathematics in first year students’ understanding of electricityproblems in physics (Doctoral dissertation), 2015.[9] Biswas, G., Schwartz, D., Bhuva, B., Bransford, J., and Brophy, S. . Analysis of studentunderstanding of basic AC concepts (No. TR-CS-98-07). Vanderbilt University, Nashville, TN.Learning Technology Center, 1998.[10] Sangam, D., and Jesiek, B. K. Conceptual gaps in circuits textbooks: A comparative study.IEEE Transactions on Education, 58(3), 194-202, 2015.[11] Helgeland, B. and D. Rancour. Circuits Concept Inventory.http
in a required course, and again in the culminating senior design project. Based on ourassessment and evaluation of student ability, we decided to add a design of experiment componentearlier in the AU lab sequence with the RF Systems lab.Table 1 shows the new course timeline for the RF Systems Lab. The first part of the course, throughweek 8, consists of studying and assembling the different components that make up a single-stationAM radio as shown in Figure 1. The free to use circuit simulation tool LTspice is used in the studyof each functional block prior to bread-boarding, usually as part of a pre-lab assignment. Forinstance, Figure 2(a) shows the LTspice circuit schematic for a two-stage audio amplifier, whileFigure 2(b) shows an audio
).Burke, R. J., & Mattis, M. C. (2007). Women and minorities in science, technology, engineering, and mathematics: Upping the numbers. Cheltenham, UK: Edward Elgar Publishing.Carlone, H. B., & Johnson, A. (2007). Understanding the science experiences of successful women of color: Science identity as an analytic lens. Journal of Research in Science Teaching, 44(8), 1187-1218. doi:10.1002/tea.20237Cass, C. A. P., Hazari, Z., Cribbs, J., Sadler, P. M., & Sonnert, G. (2011). Examining the impact of mathematics identity on the choice of engineering careers for male and female students. Paper presented at the Frontiers in Education Conference Rapid City, SD.Chemers, M. M., Zurbriggen, E. L
-Flip.utah.edu). Dr. Furse’s research has led to the development of a system to locate intermittent electrical wiring faults, and she is a founder of LiveWire Innovation. Her research also includes development of antennas to communicate with medical implants, and methods to predict statistical variability in bioelectromagnetic applications. Dr. Furse is a Fellow of the IEEE and the National Academy of Inventors. She has received numerous teaching and research awards including the Harriett B. Rigas Medal for Excellence in Teaching.Prof. Neil E. Cotter, University of Utah Neil Cotter is an Associate Professor (Lecturer) at the University of Utah. He received his Ph.D. in Electrical Engineering from Stanford in 1986 and
natural frequencies and modes of vibration using the Rayleigh-Ritz method. b) Have a good understanding of the basics of the FEM. This is achieved solving for natural frequencies and modes of vibration implementing a FEM code in Matlab [4]. c) Have experience with the different types of elements that can be used in the analysis. This is achieved using linear and non-linear beam, shell and solid elements in the finite element code Abaqus [5] or other commercial FEM code. d) Have experience checking the convergence of the results with respect to the degrees of freedom included in the solution. This is achieved defining coarse meshes in the first analyses with a particular element type and
that were presented theoretically in alecture-only context and some refer to concepts that were explained in the lecture, but alsoincluded in the laboratory experiments with the inverter hardware.Sample Question 1: Figure 7Consider the image of Figure 7 above. Which of the following is true? A. Since the magnitude of the line voltages from the left set of sources is greater than those on the right, real power will flow from left to right, regardless of the relative phases. B. Given that the magnitude of the line voltages from the left set of sources is greater than those on the right, real power will flow from left to right, only if the phase on the left is greater than the phase
various disciplinessometimes, but that “… it doesn’t go deep enough to be ‘truly’ multi-disciplinary.” Theobstacle mentioned by Student B was that academic approaches often isolate one probleminto one discipline, whereas perceiving them into a “holistic system thinking” will providemore complete solutions.Everyone agreed that ‘multidisciplinary’ should matter to a university, because:“This is where new discoveries are made.” Student Dand:“Real-life problem(s) cannot be solved by single professionalism or viewed by one aspect,students need to know how to communicate or cooperate with others in order to solve theissues.” Staff AHowever, some disagreed that the university puts enough effort on multidisciplinary matters:“On the classroom level
the author of several technical publications, including 17 journal papers and two book chapters. She received an NSF CAREER award in 2014. Dr. Marais has worked in engineering for two decades, first in industry and then in academia. She holds a B. Eng. in Electrical and Electronic Engineering from the University of Stellenbosch, a B.Sc. in Mathematics from the University of South Africa, and an S.M and Ph.D. from the Department of Aeronautics and Astronautics at MIT.Hanxi Sun, Purdue University Hanxi Sun is a Ph.D. candidate at the Department of Statistics of Purdue University. Her research focuses on nonparametric Bayesian statistics and applied statistics. Hanxi received a master degree in Statistics at
) from an academic program must prepare their graduates with “an ability to communicateeffectively” (SO k), and the “ability to design and conduct experiments, as well as to analyze andinterpret data” (SO b), and others [6]. In fact, the new ABET student outcomes, effective in2019-2020, have a stronger emphasis on team efforts: “An ability to function effectively as amember or leader of a team that establishes goals, plans tasks, meets deadlines, and creates acollaborative and inclusive environment” (SO “3”)[6]. All these outcomes can be assessedthrough the Unit Operations Laboratory; however, the main challenge is to implement practicaltools for a team, either assigned or self-selected, to function properly throughout the semester.For instance
“conveyor” frame in the SimulationTree), while Figure 6 shows an example of the Routes Simulation window. As shown, routes canquickly become complex when programming more complicated scenes and actions. In such cases,textual programming becomes a better programming choice. a b Figure 5. Screenshot of (a) Simulation Tree Window and (b) Property Bar Window Figure 6. Screenshot Example of the Routes Simulation WindowTextual programming is supported via the Script node that uses JavaScript, Jscript, or VBScript.Figure 7 shows a screenshot of the Script Editor where JavaScript is used. Figure 7. Screenshot of the Script EditorStudents
years.Several aspects of maker and innovation centers have been reported on including a classificationsystem, operating policies, training programs, and assessment approaches. This paper will reporton student utilization of our innovation center through the analysis of activity records. Over theyears of operation of the center, multiple measures of student activity and utilization have beencollected including lock logs, team rosters, and training completions. This paper will analyzethese sources of data and report on several aspects of growth and utilization of the centerincluding: (a) overall level of student activity over the last three years; (b) student activity brokendown by time of year, quarter, and day; (c) student gender and class standing