(b) an ability to design and conductappropriate experimentation, analyze experiments, as well as to analyze andand interpret data, and use engineering interpret datajudgment to draw conclusions7. an ability to acquire and apply new (i) a recognition of the need for, and anknowledge as needed, using appropriate ability to engage in life-long learninglearning strategies.Now included in criterion 5(b): aminimum of 45 semester credit hours (orequivalent) of engineering topics (k) an ability to use the techniques, skills,appropriate to the program, consisting and
Workshop Electrical Workshop Manufacturing Workshop 1. Did you learn something 1. Did you learn something 1. Did you learn something new new during this activity? new during this activity? during this activity? (a) I learned a lot (a) I learned a lot (a) I learned a lot (b) I learned some (b) I learned some (b) I learned some (c) I did not learn anything (c) I did not learn anything (c) I did not learn anything (d) I was confused (d) I was confused (d) I was confused 2. Did you enjoy the 2. Did you enjoy the 2. Did you enjoy the activity? activity
ADAMS because it is more user-friendly. The popularity and interest in ADAMS will be assessed again in the next offering whenthere will be more students in the class to get a better understanding of their interests.References: 1. Ali,A., ((2017), “Methods to Improve Students Learning in Dynamic Systems and Control Course”, 2017 ASEE Zone II Conference 2. Azad, A., Tokhi, M.O.; Pathania, A.; Shaheed, M.H.(2004), “A matlab/simulink based environment for intelligent modelling and simulation of flexible manipulator systems”, ASEE Annual Conference Proceedings, Jun 20-23, 2004, p 9547-9560. 3. Bolton, R. and Zoghi, B.,(2003), “Enhancing system dynamics instruction for technologists with simulation”, ASEE Annual
, 2007.[7] J. E. King, "Working their way through college: student employment and its impact on the college experience." In. 2006. ," American Council on Education: Issue Brief. ACE, United States.2006.[8] S. Jewell, "The Impact of Working While Studying on Educational and Labour Market Outcomes," Business and Economics Journal, vol. 5, pp. 1-12, 2014.[9] B. Neyt, E. Omey, D. Verhaest, and S. Baert, "Does student work really affect educational outcomes? a review of the literature," J. Economic Surveys, vol. 33, pp. 896-921, 2019.[10] D. Auers, T. Rostoks, and K. Smith, "Flipping burgers or flipping pages? Student employment and academic attainment in post-Soviet Latvia," Communist and Post-Communist
problems rapidly dropped off. Many of the problemsproduced in the second semester were slight variations on problems already found in the textbookor done in class, so that there appeared to be minimal effort put into developing them. While theymay have had some benefit for students to work through, the benefit to the students creating themwas questionable. This project type was no longer permitted after the second semester of theproject. One example of a three-problem exam problem project that received a high course gradeand has been received well by students in later iterations of the class is presented in Figure 1. (a) (b) (c) (d)Figure 1
. Engineering is Elementary (2010). Available on-line at http://www.mos.org/eie/.10. Ellis, G.W., Rudnitsky, A., and Moriarty, M. (2010). Theoretic stories: Creating deeper learning in introductory engineering courses. International Journal of Engineering Education. Vol 26, No. 5.11. Ellis, G.W, Rudnitsky, A., Moriarty, M.A., and Mikic, B. (2011). Applying Knowledge Building in an Engineering Class: A Pilot Study. International Journal of Engineering Education, 27(5), 1–13.12. Ellis, G.W., and Thornton, K. (2011). Preparing Engineers for Innovation and Collaboration in the Knowledge Economy. International Journal of Engineering Education 2(1).13. Ellis, G.W., Rudnitsky, A., McGinnis-Cavanaugh, B., Huff, I., Ellis, S.K. (2015, June). Designing
underserved populations. The momentum of Humanitarian Engineering inAustralia looks set to continue, creating new opportunities for students and professionalsworking for prosperity of communities globally.References[1] B. Amadei and W. A. Wallace, “Engineering for humanitarian development,” IEEE Technol. Soc. Mag., vol. 28, no. 4, pp. 6–15, 2009.[2] K. M. Passino, “Educating the humanitarian engineer,” Sci. Eng. Ethics, vol. 15, no. 4, p. 577, 2009.[3] B. Allenby, C. F. Murphy, D. Allen, and C. Davidson, “Sustainable engineering education in the United States,” Sustain. Sci., vol. 4, no. 1, p. 7, 2009.[4] Sphere Association, The Sphere Handbook: Humanitarian Charter and Minimum Standards in Humanitarian Response, Fourth
teaching ethical problem solving: Microethics and macroethics in engineering,” Sci. Eng. Ethics, vol. 11, no. 3, pp. 373–385, 2005.[15] J. H. Newman, The Idea of a University Defined and Illustrated: In Nine Discourses Delivered to the Catholics of Dublin. Project Gutenberg, 1852.[16] J. P. How, “Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems - Version 2,” IEEE Control Systems. 2017.[17] C. O’Neil, Weapons of Math Destruction. New York: Broadway Books, 2017.[18] J. Holt-Lunstad, T. B. Smith, and J. B. Layton, “Social relationships and mortality risk: a meta-analytic review.,” PLoS Med., vol. 7, no. 7, p. e1000316, 2010.[19] B. DiJulio, L. Hamel, C
. R EFERENCES [1] J. Peckham, L. L. Harlow, D. A. Stuart, B. Silver, H. Mederer, and P. D. Stephenson, “Broadening participation in computing: issues and challenges,” ACM SIGCSE Bulletin, vol. 39, no. 3, pp. 9–13, 2007. [2] O. Astrachan, T. Barnes, D. D. Garcia, J. Paul, B. Simon, and L. Snyder, “Cs principles: piloting a new course at national scale,” in Proceedings of the 42nd ACM technical symposium on Computer science education, 2011, pp. 397–398. [3] K. Fabian, E. Taylor-Smith, D. Meharg, and A. Varey, “Facilitating computing students’ transition to higher education,” in Proceedings of the 1st UK & Ireland Computing Education Research Conference. ACM, 2019, p. 2. [4] S. Engle, “Community Engaged Scholars website,” https
entities also allows the experiment of highlydynamic behavior of the network agents that exist and interact within the complex architecture.Some promising research questions related to complex network systems may include: (a) how dointeractions between network agents (nodes/vertices) help to develop new ideas or informationwhile disseminating through the network? (b) is there any threshold at which the informationdissemination becomes a global cascade? (c) what is the rate and extent at which the informationdisseminates? The answer to these questions can be found in many empirical studies of real worldsystems, such as, disease transmission [7, 8]; transmission of computer viruses [9, 10]; collapse infinancial systems [11], failures of power grid
intellectualproperty we should use three principles: 1) introduce the importance of intellectual property inthe daily life of the engineer; 2) use simple design to convey complexities of the patent system;3) use patents to engage students in active learning (instead of the idealized ‘deep learning’).Teaching intellectual property (following Garris’ [1] suggestions) should convey, A) “OptimalDesign is an Integrative Process,” B) “Ethics of Design in Competitive Industry are Intricate,” C)“Innovation in a Litigatious Environment can be Dangerous,” and D) “Patent Rights areValuable Assets.” I add here, E) Patents are a part of a portfolio of intellectual property rights.These five themes are summarized in Table 1.Table 1. Key Themes in Teaching Intellectual
completed. In this simulation, the participants are first presented with a set of instructions on theirtasks. To assemble the toy car, the four participants are given the tasks, respectively: (a) The selection and assembly of wheels and axels; (b) The selection and assembly of tires and rims; (c) The selection and assembly of the base; (d) The selection and assembly of sides and roof; Once the participants are ready to start, the car order along with the set of customerrequirements are presented to the participants. For example, the requirements could be: (a) vehicle must have four tires, a windshield, a steering wheel and a roof; (b) all tires must be of the small-soft type; (c) vehicle base
Mobile Solar generators are utilized in many fields effectively. Figure 1(a) shows MS-325,7.2 kW rated power, 35 kWh battery capacity unit for mobile applications. Another electricutility company, EREC a touchstone energy cooperative custom made a semi-truck size bunktrailer for disaster relief efforts as seen in Figure 1(b) [6]. Worldwater and Power Companyfacilitated the use of one of their mobile solar PV powered water pumping and filtration systemsduring Hurricane Katrina [3]. Similarly as part of Hurricane Katrina recovery efforts, bothFlorida Solar Energy center and national Renewable Energy Center provided their mobile PVpower systems for victims [3]. Figure 2 shows schematic model of a smart renewable energymicro-grid developed by
chronological order in Table 1. Table 1. Topics for Homework Problems/Quizzes Used in Current Study Quiz Problem Topic Designation A 3D Moment Calculation B Equivalent Force-Couple C Method of Sections D Shear Force/Bending Moment E Friction F Composite CentroidOnce the semester had ended and the final grades had been submitted, the instructor analyzed thesubmitted homework solutions and then compared them with the quiz scores
, it should be clarified Athat in this model, there are two paths that can be taken in Astin’s Model, either: 1) Inputs − → B CEnvironment → − Outputs; or directly via 2) Inputs →− Outputs. Since we do not know if there is a A B Cgreater impact of −→ to → − , or to go directly though → − , we later assess if there are differences interms of rankings when we run the inputs and environment variables alone to predict graduationrates, or as a combined set.DatabaseTo assess what variables are most
rigid structure. The diameters of the bars are given in the figure. If the yield strengths of the steel and aluminum rods are 295 Mpa and 240 Mpa, respectively, a. Find the safe load P that should be applied on the rigid bar without yielding the two rods b. Find the deformations caused on each rod due to the load found in part (a). Take modulus of elasticity for steel and aluminum as 220 Gpa and 70 Gpa, respectively. No Criteria pts Your score
presented in Figure 4 is based on the theoretical design system described in the previous section. 2) The data tab presented in Figure 5 is where the user can insert hourly data for thermal energy, in klb of steam, and electricity, in kW. The tool will convert the inserted values into MW.Figure 4 – CHP-based DE system design included in the toolFigure 5 – Data input tab for the CHP-based DE system optimization tool 3) The assessment tab presented in Figure 6 shows the data to be chosen – cells highlighted in blue - as well as the output of the assessment. The process to assess the minimum primary energy is the following: a. The “Insert data” cell will lead to the data tab presented in Figure 5; b. To choose the CHP
class, with learning acquisition levels tested at themidpoint of the term and then after the completion of the course. When surveyed at the midtermabout their exposure to ethics education prior to the course, 73.33% of students expressed havingeither “little” or “none.” When then questioned about their sense of improvement in anunderstanding of ethical theory, nearly 88% expressed having an above-average understanding,with the remaining 12% reporting an average understanding.The students take one midterm and one final in this course, and those testing instruments clearlydemonstrate an increased understanding in ethics by the end of the course. The average midtermgrade for all students over all six semesters of the course is a B. But marked
). Teams were encouraged toidentify and develop their lessons based on engineering content aligned with the specific gradelevel.Teams used a collaboration platform, which included scaffolds (team member bios, a teamcharter, and a file repository including required assignment templates) to support projectcompletion (Pazos et al., 2019). Students used the platform to collaborate, store and submit allthe project related documents.MeasuresTeamwork effectiveness. The Behaviorally Anchored Rating Scale version of the ComprehensiveAssessment of Team Member Effectiveness (CATME-B) was used to measure students’teamwork effectiveness. The CATME-B was developed and validated by Ohland et al. (2012) asan alternative version of the CATME proposed by Loughry et
thecalculated duty cycle that is sent to the PWM output reported to the serial terminal. Arduino isubiquitous among students (and professional engineers), and its use is a way of using a familiartool to accomplish a task in the analog world. Figure 9a shows the transient load-step responseof the closed loop converter, and Figure 9b shows the Arduino’s serial output during thetransient. (a) (b) Figure 9: (a) Closed-loop load step transient (b) Arduino Output.ImprovementsThis experiment was first run at Cal Poly State University in November 2018, using partiallyassembled modules built on Arduino prototype shields. Assembly was done by hand, with theinductor connections left
data and enhance data efficacy. Engineering schools could then demonstrate a stronger capability in implementing student data analytics. • For engineering education researchers. Researchers should equip themselves with two types of knowledge: (a) knowledge on data science and machine learning, which is a driver of the fourth Industrial Revolution; and (b) knowledge specific to the types of student experiences (i.e., curricular and co-curricular) of their research interest. These two bodies of knowledge appear to be increasingly important to the interdisciplinary field of engineering education. Researchers also need to keep an open mind and explore a wider range of
had learned by completing their capstone.Each of the linear models followed the following format: 𝑦𝑦𝑖𝑖 = 𝑚𝑚𝑚𝑚 + 𝑏𝑏 where 𝑦𝑦𝑖𝑖 = the Average Respondent Rating for Statement 𝑖𝑖 𝑚𝑚 = the impact of a capstone being competitive on the expected response to statement 𝑖𝑖 𝑥𝑥 = 1 if a capstone was competitive and 0 if it was non-competitive b = the Average Respondent Rating for Statement i among respondents who took part in non-competitive capstonesThis same process was used to investigate if a capstone being competitive or non-competitivehad a statistically significant impact on the survey responses provided. Capstone Survey Results I feel like
approved IRB protocol, de-identified data were segmented, coded, and thencodes were recombined during multiple successive coding passes to develop themes that describecommon threads relating student experiences in the program. The findings provide insights intohow students (a) engaged with the outreach program tasks, (b) developed relationships with othermembers of their assigned teams and program mentors, (c) worked through the engineeringdesign process, and (d) worked to achieve stated program goals and outcomes. The findings ofthis study are important for developing deeper understandings about how high school agestudents experience intensive engineering outreach programs that are designed to introduce themto real-world engineering design and
Results for Battery Bank Impedance Testing (Part b)Figure 7. Example Results for Battery Bank Impedance Testing (Part c)Figure 8. Example Results for Battery Bank Impedance Testing (Part d)Figure 9. Example Results for Battery Bank Impedance Testing (Part e)Figure 10. Example Results for Battery Bank Impedance Testing (Part f)Specific Gravity TestingThe device used to test the individual cell’s specific gravity is shown in Figure 11. This deviceis used with the BITE 3. A similar, albeit older, device is used with the Albércorp Cellcorder.The students remove the battery caps, place the tube into the electrolyte, and press the plunger.Electrolyte is drawn into the device when the plunger is released. The device measure thespecific gravity and
(b) the various stages of a life cycle as related to assessment of products ● describe, using examples, the complexity of life cycles even for simple products ● describe what outcomes might be anticipated if a life cycle approach is not integrated into product design ● describe the four major phases of a life cycle analysisA typical schedule for the LCA module is shown in Figure 1. During the first four weeks of themodule, students are introduced to sustainability and the basic concepts required to perform lifecycle assessment. Class sessions also include introductions to design thinking, engineeringcommunication, teamwork and project management.To prepare the students for their final project, an open educational resource
. 5FOR DISCUSSION: A. What can you share about your experience partnering with business and industry in the K-12 classroom to expose students to STEM fields and/or careers in STEM? What did you learn from the experience? What would you do differently next time? B. What other types of information would help you design a culturally relevant classroom lesson to promote careers in STEM? Activity Presenter: Karen Gilbert, SMILE Research Team, karengilbert@vt.edu PEERS Project Director: Holly Lesko, hlesko@vt.edu PEERS Team: Dr. Jake Grohs (PI), Dr. Holly Matusovich (Co-PI), Dr. Gary Kirk (Co- PI), Dr. Cheryl Carrico, Dr. Andrew Gillen, Justine Brantley, Tawni Paradise, Malle Rae Schilling
Figure 3). In a class of 62 students, 35 watched the video.However, on the two practical computer problems the students did much better. More than halfof the students had grades of A/B on those questions. The number of views was much lower andvaried relative to the average score (see Figure 3).One reason that the students watch these is that I ask them to watch them before setting up anappointment to discuss the exam. Most students find that they can cancel their appointment withme at this point. The time savings varies based on the size of the class, but I estimate that, foreach exam, I save two to three hours in office visits to go over their work. I estimate that I save½ a lecture period with this approach and save 1.5 – 2.5 hours outside of
Team Self-Assessment survey andqualitatively through interviews. Survey data collected during the term included twoadministrations of the team self-assessment instrument, which was based on the ABET studentoutcome related to effective teaming. The instrument was adapted from a) the MathematicsDepartment at the University of Michigan, b) an Integrated Pest Management class at Cornell,and 3) team-created items based on research literature. The instrument assessed nine dimensionsof teamwork: Decision Making, Cooperation, Ability to Handle Conflicts/Differences, Balanceof Participation, Project Management, Communication, Support, Team Spirit, and AppropriateDelegation of Tasks. Each dimension was rated on a scale from 1 to 4. For example
(0.069) Support * p <0.05; ** p < 0.01; *** p < 0.001One possible explanation of this result is that instructor contact may have a compensating effecton feelings of anxiety and discouragement among women. Female students may, in general, havenegative feelings about their engineering courses compared to male students, but when theyexperience meaningful interactions with TAs and faculty, these feelings may lessen. To explorethis possibility, instructor contact was organized into two (binary) categories: (a) high instructorcontact indicated by average Likert scale scores greater than 2.5; and (b) low instructor contactindicated by scores lower than 2.5. An independent samples t-test of gender
experiences. It seems like there iscurrently a lack of clarity around the current learning objectives for teaming. Future work willbe dedicated to completing the interviews and analysis. After that, the results will bedisseminated in order to build a shared vision within the department regarding learningobjectives for teaming and scaffolding instruction to achieve the desired goals.References[1] ABET. https://www.abet.org/accreditation/accreditation-criteria/ (accessed 20 January, 2020).[2] M. Borrego and C. Henderson, "Increasing the use of evidence‐based teaching in STEM higher education: A comparison of eight change strategies," Journal of Engineering Education, vol. 103, no. 2, pp. 220-252, 2014.[3] S. Sangelkar, B. E