Paper ID #17148A Pilot Study of a Novel Set of Three Courses for Teaching Electrical SystemAnalysis to Mechanical Engineering StudentsDr. Paul E. Slaboch, St. Martin’s University Dr. Slaboch is an assistant professor of Mechanical Engineering and Director of the Master of Mechanical Engineering program at St. Martin’s University. His main research areas are experimental fluid mechanics and heat transfer with a focus on vortical flows and aircraft wake turbulence.Dr. Floraliza Bornasal, Oregon State University Floraliza B. Bornasal is an Assistant Professor at Saint Martin’s University. Her research explores engi
Paper ID #15882Using Focus Groups to Understand Military Veteran Students’ Pathways inEngineering EducationDr. Joyce B. Main, Purdue University, West Lafayette Joyce B. Main is Assistant Professor of Engineering Education at Purdue University. She holds a Ph.D. in Learning, Teaching, and Social Policy from Cornell University, and an Ed.M. in Administration, Planning, and Social Policy from the Harvard Graduate School of Education.Michelle M. Camacho, University of San Diego Michelle Madsen Camacho is Chair and Professor in the Department of Sociology at the University of San Diego. She formerly held two postdoctoral
2014al.58 intentions: A TPB multi-group analysis Journal at factor and indicator levelUrban, B.43 A gender perspective on career ICSB World Conference 2011 preferences and entrepreneurial self- Proceedings efficacyUlvenblad, World-class entrepreneurship- and ICSB World Conference 2011P., et al. 38 innovation programmes in Sweden - Proceedings Focus on gender perceptionsKariv, D.59 Managing creativity and innovation and ICSB World Conference 2008 its effect on business performance: Proceedings Cultural assessment of gender and
aspects of thesoftware artifacts produced by and the development process followed by their teams.3.3 Data collection methodsThis section describes the methods used to collect data related to the collaboration between theISD and SPM courses.3.3.1 Data Collection Methods for ISD CourseFinal grades. To quantitatively evaluate the correlation between student performance and whetherthey were on a managed team, we compared the final grades of students on managed teams withthe final grades of students on non-managed teams.End-of-semester survey. We designed two surveys. One was given to students who were on teamswith managers and the other to students who were on teams without managers. Both surveys(shown in Appendices A and B, respectively
a fellow of the ASEE and IEEE and is active in the engineering education community including serving as General Co-Chair of the 2006 Frontiers in Education (FIE) Conference, on the FIE Steering Committee, and as President of the IEEE Education Society for 2009-2010. She is an Associate Editor of the IEEE Transactions on Edu- cation. She and her coauthors were awarded the 2011 Wickenden Award for the best paper in the Journal of Engineering Education and the 2011 Best Paper Award for the IEEE Transactions on Education. In Spring 2012, Dr. Lord spent a sabbatical at Southeast University in Nanjing, China teaching and doing research.Dr. Joyce B. Main, Purdue University, West Lafayette Joyce B. Main is Assistant
toconstruct electrical circuits using a 2D breadboard simulation, a 3D breadboard, and a physicalbreadboard (figure 1). The participants included 48 undergraduate and graduate students from alarge public university in the southeastern US. These participants were randomly assigned to oneof three levels of fidelity where they learned to construct a circuit on a breadboard. Statisticalanalysis of participants’ pre-test scores found that participants in each condition werecomparable in terms of prior circuit knowledge. Figure 1. Breadboard used in three conditions for the initial study A. B. C. Screen shot of the Arduino Screen shot of the NI 800
about 30 minutes, and afterwards studentsworked in their teams to review two case studies on the ethics of data collection drawn fromwork by Branchaw, Pfund and Rediske17 and the National Academies;18 the case study handoutsused in this exercise are included as Appendix B. Approximately 30 minutes was allocated tothis review of the case studies in small groups, with a final 10-minute large group discussion onthe case study scenarios. (The remaining 10 minutes of the 90-minute seminar was used for“housekeeping” tasks like announcements, time to transition between activities, etc.). Table 1: Summary of Professional Development Activities Week Activities
analyzed. The most significant influence of the BMEC curriculum was its informativenature. Students overwhelmingly reported increased awareness of biomedicalengineering. We also saw a significant increase in the number of students that wantedto pursue careers in biomedical engineering. These findings demonstrate that informingstudents about engineering fields is an important first step in increasing the number ofstudents that pursue these fields. Results from Pilot implementation of BMEC, 13ReferencesBerland, L. K. (2011). Designing for STEM integration. Journal of Pre-College Engineering Education Research (J-PEER), 3(1), 23-31.Berland, L. K., Martin, T. H., Ko, P., Peacock, S. B., Rudolph, J. J
moreconfidence and motivation as a minority in engineering. When asked to consider how theirpersonal identities intersect with engineering, five out of the seven female students in the classexpressed feelings of being excluded from engineering because of their gender. In the Week 4reflections, these five female students used words such as “self conscious,” “disadvantage,” and“insecure” when reflecting on being a woman in engineering. One student wrote that “manypeople don’t take me seriously when I tell them I am an engineering major [b]ecause they think Ilook more like a liberal arts student.” Another student wrote that her identity as a Hispanic, low-income, and female caused “conflict in my personal life because close family and family friendsdon’t
good project, this is a cool idea and we want to build it- no matter what others mayhave done in this area. Some of these are challenges even for upper division who may have aneasier time dealing with them. In addition, as an open-ended project Project II was by naturemuch more challenging to students and required significant guidance by faculty and graduatestudent mentors.Out of the 66 students co-enrolled in the service-learning course and pre-calculus, nine havechanged to non-engineering majors, four female and five male students. Investigation of howthese students performed in the service-learning course indicates that eight of the nine studentshad a final grade of B in the course and one had C. While the impact of this class to the
control a small group of roboticvehicles. Collective motion of groups can in general be described by Reynolds’ Rules whichinclude three main concerns: a) collision avoidance, b) velocity matching and c) flock centering [8]-[9].2. Problem DescriptionUnmanned surface vehicles can be modeled as in Figure 1 [3]-[7]. The course angle χ, headingangle and sideslip angle are defined as shown. The input r is applied at the rudder. The modelas used in this assignment is described in more detail in [3]-[5]. Figure 1. USV Model [3]-[7]To simplify the USV model for the assignment, one can assume no sideslip. This results in thefollowing relationships. 𝑥̇ = 𝑈cos(𝜓
the robot around. Tomove the robot, every button is assigned with an action listener and when they are pressed thecommand is send to the robot which has also been implemented using LEJOS API. Beforemoving the robot, the actuators of the robot needs to be initialized. As our robot has threemotors- A, B, C which are marked as left, right and back motors and all three motors needs to beinitialized before moving. left = con.ev3.createRegulatedMotor("A", 'L'); right =con.ev3.createRegulatedMotor("B", 'L'); back = con.ev3.createRegulatedMotor("C", 'L');After that, the robot is moved in different directions as follows © American Society for
groups.Prof. Keith D. Hjelmstad, Arizona State University Keith D. Hjelmstad is Professor of Civil Engineering in the School of Sustainable Engineering and the Built Environment at Arizona State University.Dr. Yong-Seok Park, Arizona State University Yong-Seok Park is currently a postdoctoral associate at Arizona State University in the STEM education research group headed by Dr. Krause. He earned his Master’s degree at George Washington University and his Doctorate at the Virginia Polytechnic Institute and State University. His research interests lie in undergraduate STEM education research and engineering design education.Ms. Bethany B Smith, Arizona State University Bethany Smith is currently a master’s student in
with active learning pedagogies on student learning, and effective strategies for increasing gender diversity in STEM disciplines.Prof. Margaret B. Bailey P.E., Rochester Institute of Technology (COE) Professor Margaret Bailey, Ph.D., P.E. is a Professor of Mechanical Engineering within the Kate Gleason College of Engineering, Rochester Institute of Technology. Dr. Bailey teaches courses and conducts re- search related to Thermodynamics, engineering and public policy, engineering education, and gender in engineering and science. She is the co-author on an engineering textbook, Fundamentals of Engineering Thermodynamics, which is used worldwide in over 250 institutions. Dr. Bailey is the Principal Investi- gator (PI
times, A.A. Potter Teaching Award (Purdue Engineering) three times, the Charles B. Murphy Teaching Award (Purdue University), Purdue’s Help Students Learn Award, the Special Boilermaker Award (given here for contributions to undergraduate education) and is the 2011 recipient of the ASEE Mechanics Division’s Archie Higdon Distinguished Educator Award.Craig Zywicki, Purdue University Craig is a Data and Assessment Analyst in the Office of Institutional Research, Assessment, and Effec- tiveness at Purdue University.Dr. Angelika N Zissimopoulos, University of Chicago Angelika Zissimopoulos holds a Ph.D. in Biomedical Engineering From Northwestern University. She is currently the Associate Director for STEM education
Paper ID #15318Pathways of Student Stayers, Movers, and Leavers in the First Two Years ofUndergraduate EngineeringMs. Bethany B. Smith, Arizona State University Bethany Smith is currently a master’s student in materials science and engineering at Arizona State Uni- versity. She has been involved in STEM education research since 2012 under the direction of Professor Stephen Krause. Her research interests in STEM education include faculty development, best classroom practices, and improving undergraduate engineering student retention through understanding what makes students leave engineering. She will be pursuing her PhD
Paper ID #15317Faculty Characteristics that Influence Student Performance in the First TwoYears of EngineeringMs. Bethany B Smith, Arizona State University Bethany Smith is currently a master’s student in materials science and engineering at Arizona State Uni- versity. She has been involved in STEM education research since 2012 under the direction of Professor Stephen Krause. Her research interests in STEM education include faculty development, best classroom practices, and improving undergraduate engineering student retention through understanding what makes students leave engineering. She will be pursuing her PhD in
: Current Status and the Road Ahead. Information Systems Research, (4). 796.3. Lucas Jr., H. C., Agarwal, R., Clemons, E. K., El Sawy, O. A., & Weber, B. (2013). IMPACTFUL RESEARCH ON TRANSFORMATIONAL INFORMATION TECHNOLOGY: AN OPPORTUNITY TO INFORM NEW AUDIENCES. MIS Quarterly, 37(2), 371-382.4. Brynjolfsson, E., & McAfee, A. (2012). Winning the Race With Ever-Smarter Machines. MIT Sloan Management Review, 53(2), 53-60.5. Bean, J. C. (2011). Engaging ideas: The professor’s guide to integrating writing, critical thinking, and active
(IRB2015-0672D).References 1. The Innovative and Entrepreneurial University, retrieved from https://www.eda.gov/pdf/the_innovative_and_entrepreneurial_university_report.pdf2. University Maker Spaces” Discover, Optimization and Measurement of Impacts, Morocz, R. J., Levy, B. D., Forest, C. R. , Nagel, R. L. Newstetter, W. C., Talley, K., G., Linsey, J. S. 2015 ASEE3. Barrett, T. W., Pizzico, C. M., Levy, B., Nagel, R. L. A Review of University Maker Spaces, 2015 ASEE, June 2015, Seattle, WA.4. Forest, C., et al. The Invention Studio: A University Maker Space and Culture. Advances in Engineering Education, Summer 2014.5. Tate, M., Norris, S. A Maker Space of Their Own, Prism, October 20146. Rees, P., Olsom, C
dealing with difficult work issuesEach topic was addressed by an expert or a panels of experts in research, teaching, leadership,and/or service.To receive credit, students were required to attend at least 12 of the 14 classes. In addition, theysubmitted pre- and post-surveys, a curriculum vita, teaching, research and service philosophies,questions for panels, course segment reflections, and e-portfolios. By the end of this seminar,students were expected to (a) describe realities of the academic job market, (b) articulate theirprofessional aspirations and competencies, and (c) develop materials to compete for and succeedin the academic job market.This seminar and its evaluation emphasize development of doctoral students’ understanding offaculty
based upon student work and is guided by thegrading of that work.In this paper, the implementation of our course-embeddedassessment method to a benchmark course is presented. EGR 360-Analysis of Engineering Data was selected as a benchmark coursefor the EAC Student Outcome b (an ability to design and conductexperiments, as well as to analyze and interpret data).A description of the process, data collection efforts, and analysis ofthe results in applying course-embedded assessment method to thebenchmark course are provided. We believe the process presentedin this paper can be beneficial to others in the engineeringcommunity as they address compliance of their programs with theAccreditation Criteria.IntroductionIn 1992, ABET invited academic
tool, seeFigure 2 (b). They will verify that their virtual arm resembles their actual arm in terms of theway it can move. If the virtual arm does not move the way their real one moves then they did notmeasure the D-H parameters correctly. In the camp the students were not able to grasp theprocess of measuring these parameters and relied on the student helpers. Software has since beenadded to the tool to support this actively. Once the parameters are measured correctly thestudents will enter them into the tool and verify their correctness. a b Figure 1: (a) the students build the arm, (b) the student measure the D-H parameter.Next the students will program their virtual
groups of classes that worked together to complete the projects:(a) School 1 (Anatomy & physiology; engineering and technology; geometry); (b) School 2(engineering and technology; geometry; general physics); (c) School 3 (biology; statistics;engineering and technology); and (d) School 4 (calculus; general and AP physics; engineeringand technology). The total number of participating students across the four schools was 373. Ofthe overall sample, 73 participants were missing data at either pretest or posttest and were thusexcluded from the analytic sample. The final analytic sample for this study consisted of highschool students in the 9th (20%), 10th (39%), 11th (19%), and 12th (22%) grades. The sample wasnearly evenly split by gender (54
’ finalpresentations in which students presented a comprehensive overview of the problems, thecommunity stakeholders they engaged, their process for addressing the problem, and their finalsolution. The two evaluators agreed on final scoring while applying the rubric and viewing thepresentation together.Table 1. Grand Challenge Scholars (GCS) Rubric for Evaluating Student WorkGCS Program Rubric Criteria RefCompetency a. Identify the problem1. Hands-on b. Collect data with supporting methodologyProject/ Research 16,17Experience c
tooth material, the dentist uses a ceramic paste to fill the area in which the toothmaterial was removed. The paste is cured and solidifies to complete the treatment process.3. LegoTM –based Desktop FactoryTo create the LegoTM-baseddesktop factory analog of thedental carie removal process, twoexisting LegoTM machinetools[10,11] were implemented sideby side (schematic shown in Fig.1 (b)) with the studentsperforming the operations on afloral foam workpiece.Additional modifications,including a custom builtgraphical user interface, andelectronic controls, were made toallow for remote operation of thedesktop factory. The detailsassociated with each of themachine tool components used inthe LegoTM desktop
Orientationown judgment in setting up and addressing theparticulars of a problem. Students learn how to address each module Startin Figure 1, each of which has specific outputsthat require the application of basic concepts Figure 1: Problem Solving Process.in kinematics and dynamics. They eventuallycombine these outputs to obtain the equations of motion. It is easier to illustrate thisstructure using the simple example in Figure 2 11 . The problem statement is: The double inclined plane supports two blocks A and B, each having a weight of 10lb. If the coefficient of kinetic friction between the blocks and the plane is µk = 0.1, determine the acceleration of each block. Assume the pulley is massless.The next sections
grade Participants in this study Spring 2015 dynamics Fall 2015 dynamics A 20.8% 18.6% 17.8% B 29.2% 42.7% 34.8% C 41.7% 28.1% 29.4% D 4.2% 7.5% 8.9% F 4.2% 3.0% 5.3%Note: Columns do not add up to 100% due to rounding.Laboratory experimentAfter due consideration of our RQ1, we concluded that the experiment design required studentsto solve an actual dynamics problem under realistic (i.e., time-constrained
1 Strongly Disagree 2 Disagree 3 Neutral 4 Agree 5 Strongly Agree Table 2. Survey Prompts Prompt Prompt Description A I enjoy the “Fluids Friday” sessions B I find the “Fluids Friday” sessions to be distracting to my learning C I would like the “Fluids Friday” sessions to continue D I wish more courses had things like “Fluids Friday” to help maintain my interest E I am more likely to attend a Friday
calculus students whodownplay the importance of strengthening the precalculus background. Students also needto recognize that the probability of success in the calculus sequence is very low if they donot earn an A or B in Precalculus8. Another barrier to student success in college calculus istheir lack of experience with appropriate learning strategies. Student surveys from thesummer 2013 program showed that students overwhelmingly learned to solve mathematicsproblems in high school by imitating the teacher’s solutions to specific types of problems;however, they believed they needed a different approach for college calculus9. Recentbridge programs at Texas A&M University have one significant difference from mostonline programs. They require
parts: arms, body, and legs; thenMeshMixer helped to fix the corner from the part using the tool, make it solid, that gave the finallook to the part. Figure 1 shows the CAD of the arm in the MeshMixer ready to print. Figure 1: CAD of the armThe four arms were printed in the MakerBot Replicator 2X11 3D printer using ABS material. TheABS has a good balance of strength and flexibility besides being very rigid and light, it was abetter choice for the arms than the PLA. The temperature used to print the arms was 230ºC; theplatform temperature was 110ºC; the layer height was 0.20mm; and the infill was 75%. Figures2(a) and 2(b) show details of dimensions and print setting respectively for the arm. (a) Dimensions