Mechatronics, vol. 1, no. 1, pp. 5–9, 1996. [2] A. Birk, “What is robotics? an interdisciplinary field is getting even more diverse,” IEEE robotics & automation magazine, vol. 18, no. 4, pp. 94–95, 2011. [3] S. E. Lyshevski, “Mechatronic curriculum–retrospect and prospect,” Mechatronics, vol. 12, no. 2, pp. 195–205, 2002. [4] D. G. Alciatore and M. B. Histand, “Integrating mechatronics into a mechanical engineering curriculum,” IEEE Robotics & Automation Magazine, vol. 8, no. 2, pp. 35–38, 2001. [5] R. Manseur, “Development of an undergraduate robotics course,” in Proceedings Frontiers in Education 1997 27th Annual Conference. Teaching and Learning in an Era of Change, vol. 2. IEEE, 1997, pp. 610–612. [6] T.-R. Hsu
Paper ID #30724Foundations of Social and Ethical Responsibility Among UndergraduateEngineering Students: Overview of ResultsDr. Carla B. Zoltowski, Purdue University-Main Campus, West Lafayette (College of Engineering) Carla B. Zoltowski is an assistant professor of engineering practice in the Schools of Electrical and Com- puter Engineering and (by courtesy) Engineering Education, and Director of the Vertically Integrated Projects (VIP) Program within the College of Engineering at Purdue. She holds a B.S.E.E., M.S.E.E., and Ph.D. in Engineering Education, all from Purdue. Her research interests include the professional for
tasks,” in Frontiers in Education, 2006.[4] N. L. Larson, G. Hoffart, T. O’Neill, M. Eggermont, W. Rosehart, and B. Brennan, “Team CARE Model: Assessing team dynamics in first-year engineering student teams,” in American Society for Engineering Education, 2015.[5] T. A. Powers, J. Sims-Knight, R. A. Topciu, and S. C. Haden, “Assessing team functioning in engineering education,” in American Society for Engineering Education, 2002.[6] M. L. Loughry, M. W. Ohland, and D. J. Woehr, “Assessing teamwork skills for assurance of learning using CATME team tools,” J. Mark. Educ., vol. 36, no. 1, pp. 5–19, 2014.[7] A. Gonzalez and J. M. Millunchick, “Extracurricular engineering activities and student
Paper ID #30461Preparing the Future Workforce in Advanced Manufacturing: The Case ofSouth KoreaMr. Sang Hoo Oh, Florida State University Sang Hoo Oh is a Ph.D. student at the Florida State University School of Information. Sang Hoo is also a research assistant at the Florida State University Information Institute. Prior coming to the Florida State University, he received B.S. in Public Policy from Indiana University and M.S. in Information Systems form Yonsei University, South Korea. His research interests include advanced manufacturing, information policy, and big data.Dr. Marcia A. Mardis, Florida A&M University
in the industry.Dr. Senay Purzer, Purdue University-Main Campus, West Lafayette (College of Engineering) enay Purzer is an Associate Professor in the School of Engineering Education.Carolina Vivas-Valencia, Purdue University Carolina Vivas-Valencia is a Ph.D. student in the Weldon School of Biomedical Engineering at Purdue University, West Lafayette IN. Her research interests lie in simulation modeling and optimization in pop- ulation health, healthcare data analytics and outcomes research, community-based health operations re- search, and innovation education in engineering.Dr. LINDSEY B PAYNE, Purdue University-Main Campus, West Lafayette (College of Engineering) Dr. Lindsey Payne is a Director in the Office of
Paper ID #29496Lessons Learned from a Summer Bridger Research Partnership Between aCommunity College and a UniversityDr. Peter Golding, University of Texas at El Paso Professor in the Department of Engineering and Leadership at UTEP.Mrs. Helen Elizabeth Geller, University of Texas at El Paso and El Paso Community College Helen Geller is the Program Manager for the STEMGROW grant, funded by the Department of Education at the University of Texas at El Paso. Helen is also a biology instructor at El Paso Community College.Dr. Diane Elisa Golding, University of Texas at El Paso Diane is a passionate educator and proponent for K
pooledparameter estimate and standard error parameter for both steps can be seen in Table 2. In stepone, teaching support and chair support were entered into the regression equation. In step 2,teaching self-efficacy was entered into the regression equation such that the equation consistedof teaching support, chair support, and teaching self-efficacy. Step 1 of each analysis provided ananswer to question (1) above while step 2 provided an answer to question (2).Step one of the analysis indicated that teaching support significantly and positively predictedteaching satisfaction (b = .42, t = 3.80, p < .001), while chair support was not a significantpredictor of teaching satisfaction (b = .11, t = .93, p > .05). Combined, the two predictorsaccounted
," IFAC Proceedings Volumes, vol. 30, no. 6, pp. 89-99, 1997.[4] D. Bradley, "What is mechatronics and why teach it?," International Journal of Electrical Engineering Education, vol. 41, no. 4, pp. 275-291, 2004.[5] S. Boverie, D. D. Cho, H. Hashimoto, M. Tomizuka, W. Wei and D. Zühlke, "Mechatronics, robotics and components for automation and control: IFAC milestone report," in 17th IFAC World Congress (IFAC'08), 2008.[6] C. F. Auerbach and L. B. Silverstein, Qualitative Data: An Introduction to Coding and Analysis, New York: New York University Press, 2003.[7] N. L. Ramo, A. Huang-Saad and B. Belmont, "What is Biomedical Engineering? Insights from Qualitative Analysis of Definitions Written by Undergraduate Students," in ASEE
student opinions.Although each question is presented with its interpretation, comparing results with each other orprevious knowledge may lead to a deeper understanding of the subject. Since this study acts asthe first of many, the authors decided to present survey results and discuss future studies in theDiscussions section below. A B 1st Years 2nd Years 3rd Years 5th Years 0 5 10 15 20 251. Are you majoring in ID? (Select one)a. Yesb. NoThere were several students, who are not majoring in the ID program, participated in the study,and filled out the survey. Although instructions were to stop at this point, they filled out
, 2008.10. H. J. Shaw, “Food deserts: towards the development of a classification,” Geografiska Annaler: Series B, Human Geography, 88B(2), pp. 231–247, 2006.11. S. Cummins and S. Macintyre, “"Food deserts"--evidence and assumption in health policy making,” BMJ, 325(7361), pp. 436-8, 2002.12. Charles M. Tolbert and Molly Sizer, “US commuting zones and labor market areas: A 1990 update.” Economic Research Service, 1996.13. Laura Beamer and Marshall Steinbaum, “Unequal and Uneven: The Geography of Higher Education Access,” Phenomenal World, published by the Jain Family Institute, December 2019.14. Brandy Maki, Rebecca Bates, Andrew Hanegmon, Jennifer Karlin, and Cody Mann, “Just Deserts: Engineering for All, Everywhere,” Proceedings
(Figure 1). Figure 1: Workshop 3 Interactive Session.Each workshop concluded with a summary by the organizers of what was covered and learned.The schedule for workshop 3, shown below, was typical of all workshops in the series, althoughthe topics covered by the parallel sessions varied slightly among the workshops: 1. Introduction and Overview 2. Interactive parallel sessions I a. Mechatronic education knowledge base b. Robotics education knowledge base c. Project-based learning in Mechatronics and Robotics d. Advanced and open-source platforms for Mechatronics and Robotics 3. Report out I 4. Interactive parallel sessions II a. Reducing barriers to adoption b. Accreditation c. Preparation to teach
leadingto better or worse integration and performance. Hargrove and Burge [27] proposed a six-sigmamodel for improving retention. In these models, performance, psychological parameters, and theinstitutional environment are all utilized.Because we know that many factors are important for student retention, and that performance isspecifically predictive, in this paper we analyzed the students that were “at-risk” yet still capableof graduating: the students who received a C in engineering mathematics in their first semester.By narrowing the sample to C-students, we eliminated performance as a variable and were ableto investigate other non-cognitive factors more directly. At the J. B. Speed School ofEngineering at the University of Louisville, 34% of
how Cathy was recommended differently or equivalently toCarl. Further explanation of procedures is provided in the Method section. This study addressedthe following research questions: RQ1. How does a STEM faculty member’s gender a. affect recommendations from others to take on roles of (a) research, (b) leadership, and (c) teaching/advising? b. How does this vary across disciplines? RQ2. To what extent do recommenders’ characteristics (i.e., gender, URM status, years of experience, administrator experience, and discipline) affect recommendations?Relevant LiteratureAlthough women earn the majority of bachelor’s degrees in the United States they
Paper ID #31006A Random Forest Model for Personalized Learning in a Narrative GameDr. Ying Tang, Rowan University Ying Tang received the B.S. and M.S. degrees from the Northeastern University, P. R. China, in 1996 and 1998, respectively, and Ph.D degree from New Jersey Institute of Technology, Newark, NJ, in 2001. She is currently a Professor of Electrical and Computer Engineering (ECE) at Rowan University, Glass- boro, NJ. Her research interests include virtual reality and augmented reality, artificial intelligence, and modeling and scheduling of computer-integrated systems. Dr. Tang is very active in adapting and devel
Paper ID #30671Incorporating Sustainability into a Bioethics Course – A Case StudyDr. Arash Mahboobin, University of Pittsburgh Dr. Mahboobin is an assistant professor at the department of Bioengineering, Swanson School of Engi- neering. His research interests include computational and experimental human movement biomechanics, bio-signal processing, and engineering education. Specific areas of biomechanics and bio-signal pro- cessing research include developing muscle-actuated forward dynamic simulations of gait (normal and pathological), analysis and modeling of human postural control, and time-varying signals and systems
students do not naturally use DT process in subsequent classes, so early andrepeated exposure to the DT concepts is important for enhanced student internalization of designthinking in open-ended projects. This will be determined as we review SD design documentsfrom subsequent semesters to determine if natural revisions in teaching and additional electivebiodesign materials have improved student outcomes. Figure 1: A) Average scores of DT concepts for each of the five graders. B) Average DT concept scores separatedby engineering discipline. Scoring was based on a Likert scale, where 1–low and 4–high. The eight concepts thatwere scored
sourcedparts (e.g., from [20], [21]). The UMTK, including its three current test configurations, areshown in Figure 1. The technical specifications and price of the machine are summarized inTable 1. Image of an assembled UMTK is shown in Appendix A.Figure 1: Rendered CAD model of the UMTK, showing (A) the linear actuator, (B) load cell,(C) emergency stop, (D) linear scale, (E) the custom printed circuit board (PCB) from a topview. The red squares highlight different configurations of the UMTK. (F) is configured fortensile test, (G) for compression test, and (H) for three-point flexural test. Table 1: Technical Specifications of the UMTK Maximum Load 1.5 kN Stroke Length
/mentors by assessing previous implementations of the programand providing its staff with appropriate trainings.References 1. This material is based upon work supported by the National Science Foundation under Grant No. (NSF INCLUDES 1649378). 2. Chemers, M. M., Zurbriggen, E. L., Syed, M., Goza, B. K., & Bearman, S. (2011). The role of efficacy and identity in science career commitment among underrepresented minority students. Journal of Social Issues, 67(3), 469–491. doi: 10.1111/j.1540- 4560.2011.01710.x3. DePass, AL.: Chubin, DE., (Eds.). (2009). Understanding intervention that encourage minorities to pursue research careers: Building a community of research and practice. Bethesda, MD: American Society
specimen. The scanning3D point accuracy of the scanner was up to 0.05 mm and the resolution came out be up to 0.1mm. Criticalpart ArtecSpider Scanner Turntable (Figure 8: Scan Setup)Two full scans were used to mesh and make one virtual solid model on Artec Studio 12. Nocalibration was needed. The purpose was to collect a point data cloud. The process carried out todo the scanning went as follows (Fig. 9): 1. Scan part a. Scan side one b. Turn 180 degrees c
Paper ID #29299Educating the Workforce in Cyber & Smart Manufacturing for Industry 4.0Dr. Mathew Kuttolamadom, Texas A&M University Dr. Mathew Kuttolamadom is an associate professor in the Department of Engineering Technology & In- dustrial Distribution and the Department of Materials Science & Engineering at Texas A&M University. He received his Ph.D. in Materials Science & Engineering from Clemson University’s Int’l Center for Au- tomotive Research. His professional experience is in the automotive industry including at the Ford Motor Company. At TAMU, he teaches Mechanics, Manufacturing and
Professor (Lecturing) in the Chemical Engineering Department of the University of Utah. He received his B. S. and Ph. D. from the University of Utah and a M. S. from the University of California, San Diego. His teaching responsibilities include the senior unit operations laboratory and freshman design laboratory. His research interests focus on undergraduate education, targeted drug delivery, photobioreactor design, and instrumentation.Prof. Jason Wiese, Jason Wiese is an Assistant Professor in the School of Computing at the University of Utah. His research takes a user-centric perspective of personal data, focusing on how that data is collected, interpreted, and used in applications. His work crosses the domains of
from allengineering departments, faculty members from the Literature and Languages Department, theMarketing Department, various staff members of the university, and engineering representativesfrom the company sponsor. Assessment Mechanism B was implemented in the Spring 2020semester in a structural analysis course. This assessment mechanism requires students to give anoral presentation on projects to the course instructor, non-engineering faculty members, andfellow class peers. Students are assessed based on technical aspects of the project along withtheir professional delivery of the material. The student teams are video-recorded and must re-watch their own recorded presentations and critique themselves for self-improvement using aprovided
Behavior, Lumen, 2019, pp. 1–18.[2] P. Adler, “Work Organization: From Taylorism to Teamwork,” Perspect. Work, vol. 1, no. 1, pp. 61–65, 1997.[3] R. B. Helfgott, “America ’ s Third Industrial Revolution,” Challenge, vol. 29, no. 5, pp. 41–46, 1986.[4] S. Lund, “AI , automation , and the future of work : Implications for Engineering Deans,” 2019.[5] T. Chowdhury and H. Murzi, “Literature Review : Exploring Teamwork in Engineering Education,” in Research in Engineering Education Symposium, 2019.[6] H. G. Murzi, T. M. Chowdhury, J. Karlovšek, and B. C. Ruiz Ulloa, “Working in large teams: Measuring the impact of a teamwork model to facilitate teamwork development in engineering students working in a real
the greatest opportunity to incorporate3D printed apparatuses. To capture the use of 3D printing in other forms of psychology, we also conducted a review of articles in the journal Behavioral Methods, Instruments, and Computers for the same 20-year period. The latter is the only psychology journal that specializes in technique. 3. Results Our results were astonishing. Table 1 shows the number of articles appearing in the four journals surveyed. The total number of articles we reviewed were 4,341. Table 2 shows that of the 4,341 articles surveyed, only one used 3D printer technology. a. Journal of Comparative Psychology (JCP): b. International Journal of Comparative Psychology (IJCP): c. Journal of
Engineering Education Annual Conference & Exposition, Salt Lake City, Utah, 2004.[12] G. Goldschmidt, H. Hochman, and I. Dafni, "The design studio "crit": Teacher-student communication," Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 24, pp. 285-302, 2010.[13] D. A. Schön, The Design Studio An Exploration of its Traditions and Potentials. London: RIBA Publications for RIBA Building Industry Trust 1985.[14] B. Hokanson, "The Design Critique as a Model for Distributed Learning," The next generation of distance education: unconstrained learning, L. Moller and J. B. Huett, Eds., Boston, MA: Springer US, 2012, pp. 71-83.[15] W. J. Popham, Classroom Assessment: What Teachers
Paper ID #29057The Design and Impact of a Combined Makerspace, Wet Lab, andInstructional Design Studio for Chemical Engineering CurriculumProf. Anthony Butterfield, University of Utah Anthony Butterfield is an Associate Professor (Lecturer) in the Chemical Engineering Department of the University of Utah. He received his B. S. and Ph. D. from the University of Utah and a M. S. from the University of California, San Diego. His teaching responsibilities include the senior unit operations laboratory, capstone laboratory, first year design laboratory, and the introduction to chemical engineering. His research interests focus
cautiouslyinterpreted to avoid making erroneous conclusions [9]. More typical measures of studentperformance (i.e., tests) were not given to students. Instead, student performance was exploredfrom the perspectives of the students via survey questions. As such, the authors make no claimsas to the actual effectiveness of the methods used in terms of student performance. All dataprovided are meant to illustrate our experience with the approach to the course. The researchpresented could be significant in that it (a) informs other practitioners about an approach to usingboard game play, deconstruction, and design as an instructional tool, and (b) it could guidefurther explorations of the method, either by these authors or other researchers.Description of the
Paper ID #30945A Systematized Literature Review of the Factors that Predict theRetention of Racially Minoritized Students in STEM Graduate DegreeProgramsMiss Fantasi Nicole, Purdue University, West Lafayette Fantasi Nicole (Curry) is a doctoral student and graduate research assistant in the School of Engineering Education at Purdue University. Her overall research aim is to broaden participation for Black engineers in graduate school and industry by addressing systemic inequalities and promoting inclusive pedagogy. Her interests stem from her experiences in engineering as a Black woman throughout her undergradu- ate
around it or bystating the system in words. Once a system is chosen, and only after it is chosen, then studentsdraw a free-body diagram (FBD) for the system. The mnemonic BREAD (B-Body, R-Reactionforces, E-External forces, A-Axis, D-Dimensions) has been found to be very helpful in teachingstudents how to draw complete and accurate FBDs. In this paper, we will present this problem-solving approach with a specific focus on defining the system and drawing a complete FBD.IntroductionStatics is typically the first engineering course students encounter, and it is often the firstexposure students have to engineering problem solving. Statics is also one of the mostfoundational courses in the mechanical engineering curriculum; students will continuously
delicate balance between cleanroom capabilities vs. form factor, certain aspects of the sensor array were derived fromSolidWorks simulations of the fully constructed device. A prime example of this is the individualpressure sensor pitches of the array as presented in Figure 2(a). This distance was the result ofinputted dimensions for the known device elements (resistor width, resistor length, diaphragmsize, trace widths, and spacing between traces) and parametric equations tuned for distributing themost compact, yet manufacturable spacing of the diaphragms possible. Figure 2(b) displays the layout of an individual pressure sensor in the array with resistorsstraddling the edges of the membrane (hidden) in both orientations and joined by aluminum