activities from the pilot program to be leveraged across multiple K-12 age ranges as part of science, technology, engineering, and math (STEM) outreach activities. To date, this program has been in place for three academic sessions of each course. Thework presented here will cover results and observations to-date, preliminary evaluations ofeffectiveness relative to standard (non-pilot) program instances, and plans for future work. Gradedistribution, pass/fail percentage, and anonymous student feedback surveys are utilized asmetrics to evaluate the impact of the pilot program’s changes for each of these courses.Description of Program The pilot program utilizes experiential learning tools in the form of hands-on projects,classroom
learning, and to promote attendance. An average of10 audience response questions was provided in each lecture for both courses. These wereapproximately 25% conceptual questions and 75% calculation based equations. Three midtermexams were administered for each course. The 1st year course included a final exam while the 4thyear course included a final project. Student grades were based on homework assignments fromthe textbook ( 15% 1st year course, 10% 4th year course), class participation ( 5% 1st year course,10% 4th year course), midterm exams (50% 1st year course, 45% 4th year course), final exam orproject (30% 1st year course, 25% 4th year course) and laboratory assignments (10% 4th yearcourse). The first two exams for both courses had an
about how well what students learn transfers to the workplace. Our researchattempts to highlight the importance and necessity to effectively evaluate how and what studentslearn, transfers to real life work situations.This project will illustrate how instructors can use technology judiciously to increase studentlearning. The MATLAB® modeling and simulation components of the engineering statics ELMreduces the time that students usually dedicate to computation. When students solve problemsthat have several equations and unknowns, they often commit manual errors. Introducing theMATLAB® component, as we do, after the students are exposed to the concept allows thestudents to spend more time reflecting on the theoretical aspects, setting up the
and build projects in traditionally analytical courses in the Engineering Mechanics sequence. c American Society for Engineering Education, 2016 Using Stress Shielding in Hip Implants as a Case Study to Teach Loading of Composite BeamsAbstractA laboratory activity was developed in which the students modeled and analyzed the femoralportion of an artificial hip replacement as a composite beam. A historical challenge with artificialhip replacements has been that the stiffer artificial femoral component shields the surroundingbone from stresses during physiological activities. This phenomenon, known as “stressshielding,” results in bone resorption that can lead to implant failure
in his department including; modified mastery learning in early engineering courses and a multi-year integrated system design (ISD) project for honors students. The ISD team currently has 50+ students working to design and build an electric bicycle and human powered vehi- cles. He is a mentor to mechanical engineering graduate teaching fellows. He is also active in technology adoption and support. Geoffrey holds a PhD in Theoretical and Applied Mechanics from Cornell University and Bachelor de- grees in Mechanical Engineering and Physics from Cedarville University. His research interests are fo- cused on best practices for student learning and student success.Dr. Michele J. Grimm, Michigan State University
develop a feel for the interface outside of class. 3. In an era where the search for information often starts with an internet search engine such as Google, the web is a very effective dissemination mechanism which puts a broad audience at one’s fingertips. When the search term “CFD tutorials” is entered in Google, our FLUENT tutorials site4 is listed second among almost 100,000 entries. The high Google rank demonstrates that there are many users in the larger CFD community who are seeking out this material on the internet. 4. The tutorials facilitate asynchronous learning. For instance, some students might be motivated to learn about CAE technology for use in a project or co-op assignment even though
. He was then recruited by Allied Signal, in the U.S., as a Project Engineer during which time he completed his master’s of business administration (MBA) at the University of Arizona in Tucson. He then moved to Minneapolis working as a Sales Manager at TSI responsible for sales and marketing of research-grade PIV products in the U.S., Canada and Brazil. As the PI, he directed an NSF SBIR-funded project with Phase I and Phase II grants. During Phase II, the company generated more than $0.25 million income from sales and received Phase 2B funding. He published several papers in this field. He not only has strong business background and technical expertise in mechanical design and teaching fluid mechanics, but he also
AC 2011-565: UNDERGRADUATE HOMEWORK ASSIGNMENTS THATACHIEVE DESIRED LEARNING OUTCOMESFiras Akasheh, Tuskegee University Dr. Akasheh is an Assistant Professor at the Mechanical Engineering Department at Tuskegee University. He joined in 2008.Denny C. Davis, Washington State University Dr. Davis is Professor of Bioengineering and Director of the Engineering Education Research Center at Washington State University. He has led numerous multidisciplinary research projects to enhance engi- neering education. He currently leads projects creating and testing assessments and curriculum materials for engineering design and professional skills, especially for use in capstone engineering design courses. He has been a Fellow
. In the mid-1970s, David Kolb published works thatcategorized human learning styles and how they respond to various types of experientiallearning.2 At least three out of Kolb’s four learning styles benefitted most through “concreteexperience” and “active experimentation.”2 Furthermore, Schumann, et. al., reported that manystudents who leave engineering do so because of a lack of interest in the topics.3 In 2010, in aneffort to increase retention rates among engineering programs, the National Science Foundationsponsored a project called “Engage.”4 One of the three objectives of this project is to increaseretention by “Integrating into coursework everyday examples in engineering (E3s).”4 Also, asampling of recent papers that studied the
, Blaberus discoidalis, and the gecko,Hemidactylus garnoti [33], Dynoclimber utilizes the Full-Goldman (FG) [35] template ofscansorial locomotion, which approximates the rapid vertical climbing seen in cockroaches andgeckos using two virtual legs [32].4 DEVELOPMENT OF DESIGN METHODSA new bio-inspired design method for wall-climbing systems has been developed. This methodis intended to enhance the concept generation or ideation phase of a design project. Effectiveideation is often seen as the key step in the design process for enhancing innovation [1]. Conceptgeneration methods can be broken into two categories; either “Intuitive” or “Directed”. Directedmethods are step-by-step, logical methods to produce ideas. Intuitive methods can
2200 K). Discuss the results. Also compare the results for the thermal efficiency with that obtained from equation (9.8) of the textbook17and discuss the differences.In addition to the external problems, six pop quizzes, five midterm exams and a comprehensivefinal exam were given during the semester. Two group design projects and one individual openended project were also assigned.Table 3 shows the grade distribution for Thermodynamics-II taught by the same instructor. Inspring 2008 and spring 2009 textbook problems were used for all home work assignments. Inspring 2008 a limited number of students were using solution manual or similar resources incompleting their homework assignments, because a new edition of the textbook was adopted
BuffaloSUNY, Arizona State University, California Polytechnic State University SLO, The Ohio StateUniversity, University of Wisconsin Madison, Michigan Technological University, Texas TechUniversity, Montana State University, California State University Long Beach, University ofDayton, Colorado State University, Missouri University of Science and Technology, WorcesterPolytechnic Institute, Oklahoma State University, California State Polytechnic UniversityPomona, University of Wisconsin Platteville, University of Kentucky, Rochester Institute ofTechnology, The University of Texas at San Antonio, and San Diego State University.Appendix B Mechanical Engineering Core CoursesThe courses considered to be core include: introductory projects, computer aided
Dynamics software, ANSYSFLUENT. Parametric studies were then conducted to determine the optimal configuration of asingle dimple and multiple dimples. At this stage, the student conducted the investigationindependently without any guidance from the instructor. Different geometrical shapes, sizes,placement along the airfoil, and multiple arrangements were all considered. The designs weredriven by fundamental fluid mechanics principles that were applied by the student. This forcedthe student to think outside of the box and develop critical thinking ability. The project was achallenge for the student as the findings were in direct contrast with many other researchers.While reporting the results is important, of equal importance is the understanding
project because of its mathematical report appearance, because of its ability toperform calculations with automatic unit handling and conversion, and because of its wide use inthe Department of Mechanical Engineering at the University of Alabama at Birmingham.While developed for a two-course sequence in undergraduate thermodynamics, the MathCADfunction sets are useful for many other engineering courses. The functions presented in thispaper and the thermodynamic functions presented in previous works have been found to be veryuseful in courses such as internal combustion engines, propulsion, combustion, compressibleflow, and heating ventilating and air conditioning [9, 10, 11, 12].Referencing the Function Sets in MathCADThe functions are contained
Knowledge in Design System Lifecycle, Improvement, Evolution, & Design Under Constraints Support Application & Deployment of Current & Research & Development of Future Emerging Technologies Technologies Hardware Manufacturing – Software Design Process, Phases, & Approaches Implementation Development Project Management Hardware/Software Integration Ensure Reachable Goals Test, Verify
Engineering at Ohio University.Arshan Nazempour, Washington State University Arshan Nazempour completed his undergraduate study at University of Tehran in Tehran, Iran in Chemical Engineering. Currently, he is a PhD candidate in Chemical Engineering at Washington State University and working under Professor Van Wie’s supervision on two projects, synergistic influences of oscillating pressure and growth factor on chondrogenesis in a novel centrifugal bioreactor and hands-on learning solution for students. c American Society for Engineering Education, 2017 Examining Student Misconceptions of Conservation of Mass and Energy in Pipe Flow using Very Low Cost ExperimentsAbstractMisconceptions
in engineering education and professional development for 9-12 grade science faculty designated to teach engineering. His research revolves around developing and validating curricular methods to improve en- gineering education in informal, traditional, distance, and professional environments. Dr. Goodridge currently teaches courses in ”Teaching, Learning, and Assessment in Engineering Education” and ”Engi- neering Mechanics: Statics.” Dr. Goodridge is an engineering councilor for the Council on Undergraduate Research (CUR) and serves on ASEE’s project board. Dr. Goodridge actively consults for projects includ- ing the development of an online curriculum style guide for Siemens software instruction, development of
Educational Psychology at the University of Alberta, conducting research in Special Education.Dr. Stephen Andrew Gadsden, University of Guelph Andrew completed his Bachelors in Mechanical Engineering and Management (Business) at McMaster University in 2006. In 2011, he completed his Ph.D. in Mechanical Engineering at McMaster in the area of estimation theory. Andrew worked as a postdoctoral researcher at the Centre for Mechatronics and Hybrid Technology (Hamilton, Ontario, Canada). He also worked as a Project Manager in the pharma- ceutical industry (Apotex Inc.) for three years. Before joining the University of Guelph in 2016, he was an Assistant Professor in the Department of Mechanical Engineering at the University of
in chemical and mechanical engineering. Campbell University started the engineering program in 2016, and she is leading the design and imple- mentation of the chemical engineering curriculum at Campbell’s innovative, project based pedagogical approach. She has a PhD in chemical engineering from Washington State University, where she special- ized in miniaturizing industrial systems for applications in the undergraduate engineering classroom.Mrs. Olivia Reynolds, Washington State University First year Chemical Engineering doctoral student pursuing research on the development and dissemi- nation of low-cost, hands-on learning modules displaying heat and mass transfer concepts in a highly visual, interactive format
Effectiveness, she worked as the Education Project Manager for the NSF-funded JTFD Engineering faculty development program, as a high school math and science teacher, and as an Assistant Principal and Instructional & Curriculum Coach.Lydia Ross, Arizona State University Lydia Ross is a doctoral candidate and graduate research assistant at Arizona State University. Her re- search interests focus on higher education equity and access, particularly within STEM.Dr. Casey Jane Ankeny, Northwestern University Casey J. Ankeny, PhD is an Assistant Professor of Instruction at Northwestern University. Casey received her bachelor’s degree in Biomedical Engineering from the University of Virginia in 2006 and her doctorate degree in
Wednesday Friday Traditional Reading assignment Lecture Lecture Lecture Blended Online reading Lecture Worksheets, group projects, case studies, or homework time. assignment Held in active learning space working with peers and instructors.To answer the question, Do students benefit from the blended course?, we compared exam scoresfrom the traditional and blended courses. To answer the question, How do students progress onBloom’s taxonomy in the blended course?, we used worksheets that served both as learningactivities and measurements of Bloom’s taxonomy progress. We focused on two concepts thatstudents typically have
effectiveness of suchmethods in improving the teaching in different engineering disciplines2. The authorsrightfully count the integration of major components, such as learning tools, learningactivities, and learning evaluation, of the course as one of the major aspects of effectiveteaching. They conclude that by a proper combination of these major components one canimprove the students’ learning. Freuler et al. reported on their effort in the College ofEngineering at the Ohio State University where they redeveloped the freshmanengineering casses to a combined course with hands-on laboratory elements3. Teamwork,project management, report writing, and oral presentations were the main parts of thisprogram.Recently, in their research, Smith et al. focused
working on hands-on projects built from conception to execution. The main issue he addresses in his current research is developing ways to demonstrate mechanical behavior of structures and to measure the mechanical properties of materials to students in a way that is easy to understand.Prof. Mehrdaad Ghorashi P.E., University of Southern Maine Dr. Ghorashi is a member of the ASME and the ASEE. He is a licensed professional engineer in Maine and the author or co-author of more than 50 journal or conference papers. In 1995, after receiving his first Ph.D. on dynamics of structures under moving loads, he joined the Mechanical Engineering Department of Sharif University of Technology. In 2004, Dr. Ghorashi moved to Canada
Professor in the Benerd School of Education within the Ed- ucational and School Psychology Department at the University of the Pacific, where she teaches graduate- level research methodology and applied statistics courses. In addition to serving as a consultant to faculty and students within her unit, Hackett serves as an independent evaluator on several state- and federally funded projects related to education.Miss Alexis Pham, University of the Pacific Alexis Pham is currently a Ph.D. student in educational psychology. She examines how students learn and develop in educational settings. She holds a M.A. in educational and counseling psychology from University of the Pacific
Nagy, Z., 2009, “Applying Kolb’s experiential learning cycle for laboratory education,” Journal of Engineering Education, 98, pp. 283–294. [4] Wieman, C. and Perkins, K., November 2005, “Transforming physics education,” Physics Today, pp. 36–41. [5] Fraser, D., Pillay, R., Tjatindi, L., and Case, J., 2007, “Enhancing the learning of fluid mechanics using computer simulations,” Journal of Engineering Education, No.4, pp. 381–388. [6] Goeser, P., Johnson, W. M., Hamza-Lup, F. G., and Schaefer, D., 2011, “VIEW - a virtual interactive web-based learning environment for engineers,” Advances in Engineering Education. [7] Terpenny, J. and Goff, R., 2006, “Utilizing assistive technology design projects and interdisplinary teams to
predictors of STEM achievement and persistence. Thecurrent S-STEM Scholarship Program in our department actively promotes interaction betweenstudents and faculty, undergraduate participation in research projects, and service to thecommunity. In this study, we report the demographic data, academic performance, andsatisfaction with program activities of our current S-STEM Scholarship Program supported byNSF, and discuss the best practices and lessons learned.Methods Data related to the students’ demographics, including race, gender, age, economic status,and whether they transferred from a local community college to our institution, were collectedfrom the original application forms when students applied for our S-STEM scholarship. Dataonly from
favorable feedback.IntroductionFrom the experience of multiple instructors shared in course coordination meetings forMechanics of Materials and Machine Design, it was observed that students particularly struggledwith different stages of working with combined loading. This struggling included fundamentalprerequisite issues on drawing the correct free-body diagrams in three dimensions, connectingthe loads with their respective normal and shear stresses, and resolving the correct directions andstress distributions for combining the calculated stresses.The issue is particularly important because the topic is a fundamental building block for MachineDesign and any solid design project that engineers tackle. Furthermore, the issue was particularlydeemed
attention to howidentities, especially those of the underrepresented, are affected by the changes made. What welearn will lead to a clearer understanding of the changes that promote engineering identities, andhow such identities affect students’ belonging in the program and persistence in the major.AcknowledgementsThis project was funded by the NSF IUSE/PFE: RED grant #1730354.References[1] K. Deaux, “Reconstructing social identity,” Personality and Social Psychology Bulletin, vol.19(1), pp. 4-12, 1993.[2] S. Stryker, and P. J. Burke, “The Past, Present, and Future of an Identity Theory,” SocialPsychological Quarterly, vol. 63(4), pp. 284-297, 2000.[3] E. H. Erikson, Identity and the life cycle. New York: International Universities Press, 1959.[4
Polytechnic State University, San Luis Obispo are presented.Methodology and ResultsWhen doing any such “data-mining” project, it is important to have prepared appropriatequestions in advance. If you simply look at large datasets looking for any possible correlations, itis possible to find “statistically significant” results that are due simply to random fluctuations.Instead, it is better to approach the database with specific questions in mind. The keys fordeveloping appropriate questions are found in the fundamental concepts of Levitt and Dubner.Specifically, we would like to draw your attention to the second concept: that conventionalwisdom is often wrong. This far reaching concept has proven a most useful tool for developingquestions to be
from both Mechanical Engineering and ElectricalEngineering. Adaptation of the course focused on changes to accommodate the fact thatstudents were only undergraduates from a variety of majors, and to accommodate aquarter-based academic calendar rather than semesters.Students attended a weekly laboratory session which involved using hardware and/orsoftware to implement, and discover the limitations of, the various algorithms discussedin class. One such laboratory required students to work with students at the otherinstitution in order to complete the project. Students were assigned to teams includingstudents from both universities. Each team was required to create an algorithm whichwould control the temperature of a system at the remote site. To