were comparedagainst course grade (converted to Grade Points, so A=4, B=3, C=2, D=1) and subject to a linearor multiple linear correlation. The relationship between total score and course GPA aresomewhat correlated (α<0.05). The individual and predicted results are shown in Figure 2.Notably for this sample, the highest mind map rubric score for students earning D’s in the classwas 4 points; however, there were also several students with higher grades that also scored 3 or 4points on the rubric. The predicted course grade increases with increasing rubric score with aslope of 95% confidence interval 0.52 ± 0.46. More significant discussion will be added after alarger number of mind maps are assessed
, while the service-learning component will enable the students to recognize theimportance of STEM education and building a STEM pipeline in the community, as well asproviding key opportunities to put their coursework into practice.Technical Outcomes - Students will be able to... 1) Design and construct robotic sub-systems to fulfill competition requirements and specifications by being able to: a) Analyze a complex task and identify subsystems needed to accomplish that task considering the use of commercial off-the-shelf vs. fabricating custom parts b) Apply basic concepts of mechanics such as gear ratios, gearboxes, motors, belts, and materials c) Compare different methods of manipulating game objects using motors vs
Paper ID #21861’It was a Failure, But a Good Failure’: A Qualitative Study Exploring Engi-neering Students’ Critical Entrepreneurship Experiences and Their ImpactsMr. Mark V. Huerta, Arizona State University Mark Huerta is a second year PhD student in the Engineering Education Systems & Design (EESD) program at Arizona State University. Mark is also the Chairman and Director of Projects of a non-profit called 33 Buckets, which empowers rural communities in developing countries to develop solutions for their drinking water problems. Before enrolling in the EESD program, Mark obtained a BS and MS in Biomedical Engineering
in mind, we developed a design project that a) had a meaningful purpose, b) utilizes andintegrates many of the topics from the course, and c) is likely to be of interest to a broad array ofstudents. The project is an integrated health monitoring system. The health monitor determinesand displays a user’s heart rate and measures a user’s reaction time (the latter of which can beuseful for diagnosing diseases like Parkinson’s disease). A complete, digital implementation of thehealth monitor will incorporate topics including combinational logic, common combinationalbuilding blocks, finite state machines, counters, adders, shift registers, and hierarchical design.On the first day of the course, students are shown a functioning health monitor and
assurance in online learning,” Journal of Asynchronous Learning Networks, vol. 17, no. 4, pp. 11-24, 2014. [Online]. Available: http://dx.doi.org/10.24059/olj.v17i4.402. [Accessed Jan. 4, 2018].[3] B. Brown, S. E. Eaton, D. M. Jacobsen, S. Roy and S. Friesen, “Instructional design collaboration: A professional learning and growth experience,” MERLOT Journal of Online Learning and Teaching, vol. 9, no. 3, pp. 439-452, Sept. 2013. [Online]. Available: http://jolt.merlot.org/vol9no3/brown_0913.htm. [Accessed Jan. 10, 2018].[4] I. T. Chao, T. Saj and D. Hamilton, “Using collaborative course development to achieve online course quality standards,” The International Review of Research in Open and
learning-centered approach. This approach first decides what students should learn given their backgroundand future goals, and then figures out how the learning can be facilitated. A way to implement thelearning-centered approach is the integrated course design shown in Figure 1. The integrated course design begins with identifying the key factors related to the contextof the course, nature of the course and characteristics of the students and the instructor. These arecalled situational factors and listed in Figure 1. They are used to make the following three key setsof decisions: (a) learning outcomes: what students should learn in the course (b) assessments and feedback: how the students and the instructor will know if the
piezoelectrics, nanomanufacturing, optical measuring techniques, and intercultural design.Dr. Jeffery J. Leader, Rose-Hulman Institute of TechnologyMiss Jessa B. Ward, Rose-Hulman Institute of Technology Jessa Ward is a master’s student in the Biology and Biomedical Engineering Department at Rose-Hulman Institute of Technology. She is interested in biomechanics, prosthetics, and orthotics. More specifically, her thesis work is examining the biomechanics of Kinesio tape. c American Society for Engineering Education, 2018 Creating Laboratories to Aid Student Modeling Ability in Calculus IAbstractIn this paper we will report on the development and deployment of a laboratory sequence forCalculus 1 students
Military Academy. His current research interests include laboratory and field determination of geotechnical material properties for transportation systems and the use of remote sensing techniques to categorize geohazards. He has published over 85 peer reviewed articles relating to his research and educational activities. Dennis holds BS and MS degrees in Civil Engineering from the University of Missouri-Rolla (now Missouri University of Science and Technology), an MBA from Boston University and a Ph.D. from the University of Texas-Austin. He is a registered professional engineer in Arkansas and Colorado.Dr. Decker B. Hains, Western Michigan University Dr. Decker B. Hains is a Master Faculty Specialist in the Department
’ perceptions of andapproaches to problem-solving over the course of their first engineering science course?Data Collection and AnalysisTo investigate this research question, we conducted a series of three cognitive interviews withfour students over the course of a one-semester statics and dynamics course. All students had thesame instructor for this course and were enrolled in their third semester at a highly selectiveuniversity in the eastern United States. They all earned high grades (mostly A’s with theoccasional B) on homeworks, quizzes, and exams. Each interview had two phases. First, studentswere asked open-ended questions about their methods of problem solving and conceptualquestions. Second, they were asked to think aloud as they solved
Technology Sharon C. Bommer KBRwyle Adedeji B. Badiru Air Force Institute of TechnologyIntroductionThe Air Force Institute of Technology (AFIT) is located at Wright-Patterson Air Force Base nearDayton, Ohio. The Institute provides technical and professional continuing education for theUnited States Air Force and is also home to a fully accredited graduate program, the GraduateSchool of Engineering and Management. AFIT offers Master’s and Doctoral degrees in STEMareas in support of the mission of the US Air Force. AFIT is unique from most universities on anumber of aspects, including its two categories
technology teacher, as well as several years of electrical and mechanical engineering design experience as a practicing engineer. He received his Bachelor of Science degree in Engineering from Swarthmore College, his Master’s of Education degree from the University of Massachusetts, and a Master’s of Science in Mechanical Engineering and Doctorate in Engineering Education from Purdue University.Dr. Thad B. Welch, Boise State University Thad B. Welch, Ph.D., P.E. received the B.E.E., M.S.E.E., E.E., and Ph.D. degrees from the Georgia Institute of Technology, Naval Postgraduate School, Naval Postgraduate School, and the University of Colorado in 1979, 1989, 1989, and 1997, respectively. He was commissioned in the U.S. Navy in
Paper ID #22303Standardizing the Statics Curriculum Across Multiple InstructorsDr. Kimberly B. Demoret P.E., Florida Institute of Technology Kimberly B. Demoret, Ph.D., P.E., teaches Statics and Aerospace Engineering Capstone Design at the Florida Institute of Technology. Prior to joining Florida Tech in 2015, she worked for eight years at Kennedy Space Center on development of launch systems in support of NASA’s space exploration goals. Before that she was a US Air Force officer for 20 years, supporting several aerospace programs as a developmental engineer and manager.Dr. Jennifer Schlegel, Florida Institute of
Engineering Professor. With this opportunity, Hern´an is able to further his understanding of both engineering and education to aid the generations who aim to become future engineers.Dr. Kristen B. Wendell, Tufts University Kristen Wendell is Assistant Professor of Mechanical Engineering and Adjunct Assistant Professor of Ed- ucation at Tufts University. Her research efforts at at the Center for Engineering Education and Outreach focus on supporting discourse and design practices during K-12, teacher education, and college-level en- gineering learning experiences, and increasing access to engineering in the elementary school experience, especially in under-resourced schools. In 2016 she was a recipient of the U.S. Presidential
Ellbogen Meritorious Classroom Teaching Award (2012), the Tau Beta Pi WY-A Undergraduate Teaching Award (2011), the IEEE UW Student Branch’s Outstanding Professor of the Year (2005 and 2008), the UW Mortar Board ”Top Prof” award (2005, 2007, and 2015), the Outstanding Teaching Award from the ASEE Rocky Mountain Section (2007), the John A. Curtis Lecture Award from the Computers in Education Division of ASEE (1998, 2005, and 2010), and the Brigadier General Roland E. Thomas Award for outstanding contribution to cadet education (both 1992 and 1993) at the U.S. Air Force Academy. He is an active ABET evaluator and an NCEES PE exam committee member.Dr. Thad B. Welch, Boise State University Thad B. Welch, Ph.D., P.E
since 2006 focusing on grant team management, program management, and project management as well as Broader Impacts for National Science Foundation proposals. She was the Executive Director of the Northern Indiana Regional Science and Engineering Fair from 2012 to 2016 and served on the Science Education Foundation of Indiana Board of Directors during that time. In addition, her committee work includes several initiatives to broaden participation of underrepresented groups in STEM. She holds a Bachelor of Science degree in Criminal Justice and a Master of Public Affairs degree with a concentration in Nonprofit Administration from Indiana University South Bend.Dr. Jay B. Brockman, University of Notre Dame Dr. Jay
Paper ID #22302Capstone Design and Psychology: Teams, Traits, and Competencies Mea-sured in Student SurveysDr. Kimberly B. Demoret P.E., Florida Institute of Technology Kimberly B. Demoret, Ph.D., P.E., teaches Statics and Aerospace Engineering Capstone Design at the Florida Institute of Technology. Prior to joining Florida Tech in 2015, she worked for eight years at Kennedy Space Center on development of launch systems in support of NASA’s space exploration goals. Before that she was a US Air Force officer for 20 years, supporting several aerospace programs as a developmental engineer and manager.Kyi Phyu Nyein, Florida
Paper ID #21337Student Career Decision Making Approaches and Development of Profes-sional Engineering TrajectoriesDr. 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. 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.Nichole Ramirez, Purdue University, West Lafayette (College of Engineering) Nichole Ramirez is a postdoctoral researcher in the School of Engineering Education at Purdue
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
)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
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
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