23% Personal development 2 15% Other or N/A 2 15% B) Demographics of Participants Undergraduate student 5 38% Graduate student 3 23% Professional 3 23% Mixed 2 15% C) Type of Intervention Class 6 46% Program 4 31% Other
": Adapting doctoral trainee career preparation for broad career paths in science," PLoS One, vol. 12, no. 5, p. e0177035, May 2017.[9] M. Roach and H. Sauermann, "The declining interest in an academic career," PLoS One, vol. 12, no. 9, p. e0184130, Sep. 2017.[10] R. J. Daniels, "A generation at risk: Young investigators and the future of the biomedical workforce," Proceedings of the National Academy of Sciences, vol. 112, no. 2, pp. 313- 318, Jan. 2015.[11] M. Levitt and J. M. Levitt, "Future of fundamental discovery in US biomedical research," Proceedings of the National Academy of Sciences, vol. 114, no. 25, pp. 6498-6503, Jun. 2017.[12] B. Alberts, M. W. Kirschner, S. Tilghman, and H. Varmus, "Rescuing
opening that islocated in the south face. This facade is oriented south to receive maximum solar radiationduring the day (Aljofi, 2005; Leslie, 2003; Molling 2014). Therefore, it requires the daylightpenetration to efficiently be controlled. The designed office and its responsive facade was implemented utilizing Grasshopperscripts as shown in figures 5(a) and 5(b), respectively. Figure 5(c) represents Grasshoppercomponents such as construct point, deconstruct domain, line SDL, series, sliders and transformthat are used to control length, width, thickness, and number of horizontal louvers. The slidercomponent provides an adaptation range for the angles of louvers which can be changed inresponse to sun position during different hours, days
. High -status members who self-assigned their position in the team’shierarchy often took the initial actions to begin the engineering project. These individuals’actions included developing strategies to complete the project, organizing or distributing tasks, ortaking individual actions without consulting other team members.In this example, the team was discussing their ideas for incorporating the change request intotheir design with the Instructor (I). This team included three boys and one girl. In the exchangeswith the team members, Student A treated all students the same regardless of their gender. I: How can you find the shopping cart? Student A (high-status member): Umm… Student B: I don’t know. Student A: By
Doctoral Study,” Am. J. Sociol., vol. 108, no. 3, pp. 679–681, 2001. [6] J. C. Weidman, D. J. Twale, and E. L. Stein, Socialization of graduate and professional students in higher education: a perilous passage? San Francisco: Prepared and published by Jossey-Bass in cooperation with ERIC Clearinghouse on Higher Education, Association for the Study of Higher Education, Graduate School of Education and Human Development, the George Washington University, 2001. [7] B. L. Yoder, “Engineering by the Numbers,” in American Society for Engineering Education, 2012. [8] M. Wang, J. Kammeyer-Mueller, Y. Liu, and Y. Li, “Context, socialization, and newcomer learning,” Organ. Psychol. Rev., vol
autumn 2016 Biomechanics lab offering [10].A t-test analysis was performed between thetwo groups using JMP Statistical Software to identify whether team-based notebook keepingimpacted student performance.Peer and Self-Evaluation AnalysisBoth quantitative (Likert-scale ranking) and qualitative open-ended response data were collectedvia survey from each student enrolled in either the autumn 2017 or the spring 2018 lab course(n=52). The open-ended responses from the post-course peer evaluation surveys (n=52) werescored by totaling the number of instances that positive or negative behaviors characterized werementioned [9], [11]. A B
engineering students. In Integrated STEM Education Conference(ISEC), 2016 IEEE, 193-196.Ferri, B. H., Ahmed, S., Michaels, J. E., Dean, E., Garyet, C., & Shearman, S. (2009). Signal processingexperiments with the LEGO MINDSTORMS NXT kit for use in signals and systems courses. InAmerican Control Conference (pp. 3787-3792). Piscataway, NJ: IEEE. doi:10.1109/ACC.2009.5160602.Han, B., Zhang, C., & Qin, X. (2011). Based on Matlab signals and systems course project-driventeaching method research. In IEEE 3rd International Conference on Communication Software andNetworks (pp. 466-469). Piscataway, NJ: IEEE. doi:10.1109/ICCSN.2011.6013873.Huettel, L. G. (2006). A DSP hardware-based laboratory for signals and systems. In Proceedings, 4thDigital Signal
small magnetic exciter (speakers) which required a solder connections. Team memberslearned, practiced, and improved soldering skills and successfully built multiple experimentalapparatuses. One team member documented the project across all stages of development.Examples of the students demonstrating 3-D printing and soldering approaches are shown inFigure 1. (a) (b) Figure 1: (a) Experimental prototype being 3D printed and (b) student soldering.State-of-the-Art Equipment As a key aspect to experimental research is testing validation, the faculty taught the teammembers how to operate and utilize state-of-the-art equipment to validate and implementcontrolled responses. The team then
student will need it and (b)the student will have a high return on investment (ROI) as a human capital asset. Suchemployer buy-in spreads costs and builds up positive cash flow early in the program.Reinsurance will be provided by a government entity (e.g. NTMA in Ireland) in order to keepcosts low. In addition, as stated above, the endowment is designed as a tontine (an early formof insurance in which dividends increased as investors died) [35] reverting to the state(insurance company) upon death. If an individual did not take advantage of their endowmentto continue their education they would have two options: 1) pay a very large fee to make itinheritable and thus provide better education for their children or grandchildren, or 2) usetheir
analysis.Prof. Arnaldo Mazzei, Kettering University Dr. Arnaldo Mazzei is a Professor of Mechanical Engineering at Kettering University. He specializes in dynamics and vibrations of mechanical systems and has conducted research in stability of automotive drivetrains, modal analysis, finite element analysis and computer aided engineering. His current work relates to system vibrations and automotive engineering. Dr. Mazzei received his Ph. D. in Mechanical Engineering from the University of Michigan (Ann Arbor) and both his M. Sc. and B. Sc. in Mechanical Engineering from the University of Sao Paulo (Brazil). He is an active member of SAE and SEM.Dr. Azadeh Sheidaei, Iowa State University Azadeh Sheidaei received her BSc in
robotics, automation, and nanotechnology engineering education and research. He is a licensed PE in the State of Colorado, a member of ASEE, a senior member of IEEE, and a senior member of SME.Dr. Bahaa I. Kazem Ansaf, Colorado State University, Pueblo B. Ansaf received the B.S. degree in mechanical engineering /Aerospace and M.S. and Ph.D. degrees in mechanical engineering from the University of Baghdad in 1992, 1996 and 1999 respectively. From 2001 to 2014, he has been an Assistant Professor and then Professor with the Mechatronics Engineering Department, Baghdad University. During 2008 he has been a Visiting Associate professor at Mechanical Engineering Department, MIT. During 2010 he has been a Visiting Associate
/. [Accessed May 19, 2017].[18] Purdue University, “Youth Programs,” purdue.edu, 2017. [Online]. Available: http://www.purdue.edu/purdue/about/youthPrograms.html. [Accessed March 7, 2017].[19] N. Bachman, P. J. Bischoff, H. Gallagher, S. Labroo, and J. C. Schaumloffel, “PR2EPS: Preparation, recruitment, retention and excellence in the physical sciences. A report on the 2004, 2005 and 2006 summer camps,” Journal of STEM Education: Innovations & Research, vol. 9, no. 1, 2008.[20] L. Bottomley, J. P. Lavelle, S. B. D'Amico, and L. D. LaPorte, (2015). “Engineering summer programs: A strategic model,” In Proc. 122nd ASEE Annual Conference & Exposition, 2015, pp. 1-22.[21] A. Bandura, “Guide for
Paper ID #22449Why Educators Need to Team with Industry Professionals in Software Devel-opment EducationDr. Gregory Kulczycki, Virginia Tech Dr. Kulczycki has extensive experience in research and development both in academia and industry. He received his doctorate from Clemson University in 2004 and began working as a professor at Virginia Tech shortly thereafter. In 2011 he went to work for Battelle Memorial Institute as a cyber research scientist, while continuing to be involved in teaching. He is currently back in the computer science department at Virginia Tech as a professor of practice, where he teaches, designs
compound angles (e.g., how sin (A+B) may be used to yield sin 2A or, sin 3A)4. Clearly establish the understanding of a well-posed problem using a lumped, differential orintegral approach.4. Sketch a tiny volume and write conservation laws using first order approximations, then showthe transition to differential equations including dividing by the volume before limits. As anexample, each term of Navier-Stokes equation for incompressible flows expresses force per unitvolume. Continue with simplifications to various applications in two and three dimensions.5. Discuss concepts in creation of a boundary condition by using a stretched CV.6. Thoroughly review dimensional analysis for algebraic and differential equations.7. Discuss regimes of fluid flows
of a structural connection appropriately modeled as apin; (b) a problem figure with a schematic representation of a pin support; (c) a free-bodydiagram showing the reaction exerted by the pin in Cartesian components; (d) an alternate free-body diagram showing the pin reaction as a vector that forms a concurrent force system with theforces T and W; (e) the symbolic and numeric mathematical representations of the Cartesiancomponents of the reaction; (f) a narrative description of the pin reaction. When Steif [3] assertsthat a “deep understanding of Statics lies in being able to relate the symbols (forces and couples)to the interactions between bodies which they represent…,” he is expressing this idea ofrepresentational competence as a key
the walls to capture live motion. Table 1. List of final projects by dynamics students. Groups consisted of up to 4 students.Group # Project Description1 Calculate the angular velocity of a frisbee using the change in linear displacement over a time interval at its point of release.2 Consider that the leg has two segments, the thigh and the shank. Find the angular velocity of the shank while pushing off a skateboard.3 Drone S is hovering over at a particular point while the drone B is flying towards drone M. The drones collide and the blades bind creating a plastic collision. Find the final velocity of the drones after impact and the initial velocity of drone M.4
this outreach program isa focus on student engagement in the form of community service and service learning.In embarking on service learning in engineering, faculty at Northeastern looked at other hallmarkprograms and research to prepare. Bringle and Harcher define service-learning as “a course-based, credit-bearing, educational experience in which students (a) participate in an organizedservice activity that meets identified community needs and (b) reflect on the service activity insuch a way as to gain further understanding of course content, a broader appreciation of thediscipline , and an enhanced sense of civic responsibility.”[2] There is a section in this work onfirst-year students, where there has been assessment showing significant
videos? (choose up to 3 A) Homework Help options) B) Prepare for Lecture A) Homework Help C) Videos Shown in Class B) Prepare for Lecture D) Lecture Capture C) Videos Shown in Class E) Test Prep (FE Exam, midterms, D) Lecture Capture finals, etc.) E) Test Prep (FE Exam, midterms, F) Supplement Course Content finals, etc.) G) Other F) Supplement Course Content G) Other Q3: What qualities or
ResultsGiven that we have just recently collected our second interviews with our first cohort of students,complete coded analyses are not available for these new interviews. Thus, this paper reports ahigh-level comparison of two students pre and post interviews, using codes from Table 1 aspoints of comparison.Tables 2 and 3 show several excerpt comparisons from the first and second interviews for bothstudents. Student A is studying Electrical Engineering as an emphasis area. This student hadbegun his/her college studies at another local community college before transferring to IRE forthe third and fourth years of study. Student B had also started his/her college studies at the samecommunity college and was studying Mechanical Engineering at IRE. Both
community and were able to make connections outside SDSU on a regular, although required basis. (Faculty mentor #15) 8(b) Social support for students theme [14 of 15] • Faculty and peer social structure to support student success • Emotional support and guidance for students' personal lives both in an out of class • Reduction of financial stress • Involvement in campus activities and attachment to SDSUAs examples, surveyed faculty mentors commented as follows. "I believe that the mentoring experience helped students a lot--sitting down and discussing with each student their overall in-class and out-of-class
of educational research, 76(1), 1-62.Feden, P. D., & Vogel, R. M. (2003). Methods of teaching: Applying cognitive science to promote student learning: McGraw-Hill Humanities, Social Sciences & World Languages.Felder, R. M., & Brent, R. (2005). Understanding student differences. Journal of engineering education, 94(1), 57-72.Felder, R. M., & Silverman, L. K. (1988). Learning and teaching styles in engineering education. Engineering education, 78(7), 674-681.Felder, R. M., & Soloman, B. A. (n.d.). Index of Learning Styles. Retrieved from http://www.ncsu.edu/felder-public/ILSpage.html.Felder, R. M., & Soloman, B. A. (n.d.). Learning styles and strategies. Retrieved from
the instructor’s computer (both wired or wirelessly),students’ laptops, or a desktop computer located beneath each monitor which is connected to theCollege of Engineering computer network. Classroom A is typically arranged into small groupsof some form, but instructors often rearrange the room into different layouts (Figure 3).Classroom B (Figure 4) has a seating capacity of 90 students and is also equipped with moveablewhiteboards and wall-mounted monitors. Unlike Classroom A, Classroom B does not havedesktop computers beneath each monitor. Classroom B is typically arranged into front-facingrows, but some instructors rearrange the room into small groups. Figure 2. Panoramic photo of Classroom A arranged for a studio
Annual Conference and Exposition, 2014.2 ABET, “Criteria for Accrediting Engineering Programs, 2017-2018”,http://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2017-2018/#program3 R. Melnyk and B. Novoselich, “The Role of Andragogy in Mechanical Engineering Education,”in American Society of Engineering Education Conference and Exposition, 2017.4 M. Knowles, The Modern Practice of Adult Education. New York: Association Press, 1970.5 P. Mortimore and C. Watkins, Understanding Pedagogy and its Impact on Learning, SAGE,1999.6 M. Knowles, The Adult Learner: A Neglected Species, Houston, TX: Gulf Publishing Company,1973.7 Pembridge, James J., and Marie C. Paretti. "Student perceptions of
tacklingadditional more challenging tasks. The mentors also observed that the girls were most excitedabout the paper circuits activity. The mentors attributed this to the creative aspect of the activity.The girls were very proud of their creations and no two looked alike.a) Have you ever been embarrassed b) Are you interested in math to ask a question in class? and/or technology Figure 10: Pre-survey results. a) What interests you most about b) What would you like to learn more about in technology? terms of engineering/computer science? c) Would you consider going into a math or technology-related major in college
sensors. TheArduino Mega was also connected to a Raspberry Pi 3 model B to transfer data from/to an onlineweb application. One major limitation encountered during testing this prosthetic device was thespace occupied by these components, which makes the device bulky. In addition, these servomotors cannot control the movement of the prosthetic device precisely. In this paper, we proposeto improve on the existing prosthetic limb prototype by transitioning the electromechanical systemto linear actuators and replacing the larger Arduino Mega and Raspberry Pi 3 with the smallerArduino Nano and Raspberry Pi Zero W, respectively. These changes will result in a more cost-effective, more stable, and more accurate prototype, resulting in better
Creo demo completed example (A) (B) (C) (D) Figure 2 – Lecture Creo demo step-by-step example• Prior to the lecture, a Precision LMS unit had been assigned that addressed concepts, theory, and step by step practical examples on the creation of revolved features and patterns in Creo, and it was to be completed outside of class before lecture. The tutorials include videos and step-by-step instructions with detailed explanations as shown in Figures 3 and 4. Figure 3 – Precision LMS lesson on creating revolved features [5] Figure 4 – Precision LMS lesson on creating
," Journal of Postsecondary Education and Disability, vol. 27, pp. 261-272, 2014.[7] E. W. Kimball, R. S. Wells, B. J. Ostiguy, C. A. Manly, and A. A. Lauterbach, "Students with disabilities in higher education: A review of the literature and an agenda for future research," in Higher Education: Handbook of Theory and Research. vol. 31, M. B. Paulsen, Ed., Switzerland: Springer, Cham, pp. 91-156, 2016.[8] G. Lichtenstein, H. G. Loshbaugh, B. Claar, H. L. Chen, K. Jackson, and S. D. Sheppard, "An engineering major does not (necessarily) an engineer make: Career decision making among undergraduate engineering majors," Journal of Engineering Education, vol. 98, pp. 227-234, 2009.[9] E. Seymour and N. M
system had been used successfully indocumenting knowledge acquisition among preservice teachers in a concept mapping test. Thesecond scoring system, Hierarchy Structure B, was developed as a methodological test forwhether more nuance and diversity in the map structures might be hidden by too few categoriesof complexity, see Error! Reference source not found.Fig 2. below. Two undergraduatesindependently scored the concept maps and did not compare their results with each other beforethis analysis. The scoring systems entails: 1. Shows a linear structure with no branching and spoke and wheel up to two nodes from the center. 2. Captures three simple forms with up to 2 nodes from center: branching off central node, one interaction
, Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio.[8] Morocz, R. J., & Levy, B., & Forest, C., & Nagel, R. L., & Newstetter, W. C., & Talley, K. G., & Linsey, J. S.(2016, June), Relating Student Participation in University Maker Spaces to their Engineering Design Self-Efficacy, Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana.[9] Noel, A., Murphy, L., & Jariwala, A. (2016). Sustaining a diverse and inclusive culture in a student runmakerspace. In Proceedings of the ISAM conference.[10] Wilczynski, V. & Hoover, A. (2017, September), Classifying Academic Makerspaces: Applied at ISAM 2017,Paper presented at the 2017 ISAM Conference, Cleveland, Ohio
minutes toone hour); however, interviews with youth in earlier iterations also revealed that they were notmotivated to iterate as they perceived their designs as “good enough.” In this implementation, wefound youth actively engaging in adding new constraints to their designs after testing them outand changing their designs to optimize them. For instance, when surveying the Disastervilletown, youth had to attach a camera to the UAV in such a way that they get the best footage of thetown. Youth kept checking the best camera angle, the most feasible camera position and eachtime they tested their design by flying the UAV over Disasterville until they were satisfied withthe video footage. Figure 4: (a) Design of a simple skyhook, (b) design of a