understanding and troubleshooting incircuits laboratories when a component with sensory output is added: a loudspeaker. Unlike adiscrete resistor, the loudspeaker produces a tone that informs the experimenter of theamplitude and frequency of the current waveform. Unlike simply attaching a speaker to theinput and output of a passive circuit, this approach uses the speaker as the impedance elementof the circuit. This can allow additional opportunities for student investigation andunderstanding.MethodsParticipant selection: Participants were enrolled in two universities, A and B: both small, private,midwestern universities with student bodies below 5,000 with predominantly white and maleengineering enrollment and class sizes below 30. The experiment
will be keyfor this. The ties between empathy, ethical reasoning, and critical thinking further show howbenefits can be wholesale in engineering applications.AcknowledgementsThis material is based upon work supported by the National Science Foundation under grant2142666 and 2142685. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References[1] P. B. Hudson, L. D. English, and L. A. Dawes, "Curricula integration: Identifying and locating engineering education across the Australian Curriculum," Curriculum Perspectives, vol. 34, no. 1, pp. 43-50, 2014.[2] E. F. Crawley, "Rethinking Engineering Education
to the required CS coursesand/or course sequences (see Appendix 1). The changes that students suggested were related to(a) “course requirements,” (b) “program content,” (c) “course sequence,” and (d) “languagesequence.” Regarding course requirements, students wanted to (a) remove a number of coursesfrom the program requirements (e.g., automata theory, assembly language); (b) add courses asprerequisite to other courses to prepare them better for those courses; and (c) make a number ofcourses required for the program. Moreover, students wanted the content of the program to bemore relevant to the skills and knowledge required in the industry. Concerning the coursesequence, students believed that some courses should have been introduced earlier
evaluation as well aslessons learned from the scoring discussion. Additionally, we provide recommendations forincorporating an ‘instructor orientation’ prior to using rubrics to ensure effective use of the rubricacross multiple instructors.MethodsThe rubric underwent two rounds of validation. The first was in the 2022 spring semester and thesecond followed in the 2022 fall semester. For the spring rubric validation, six instructors gradedfour reports and used a rubric that consisted of 15 constructs ranging in value from 4 to 12 pointseach (Table 1) for a total of 100 points. Each construct on the rubric had five levels meant tocorrespond to “A”, “B”, “C”, “D” and “F” level work. The description of “A” level from therubric is listed in Table 1.In
- engineering leadership not your theory X, Y or Z leaders,” in 2005 IEEE Aerospace Conference, Mar. 2005, pp. 4389–4397. doi: 10.1109/AERO.2005.1559744.[31] T. Riley and E. A. Cudney, “Defensive Routines in Engineering Managers and Non- Engineering Managers — A Case Analysis,” International Journal of Engineering Business Management, vol. 7, p. 8, Jan. 2015, doi: 10.5772/60114.[32] D. A. Wyrick, “Understanding Learning Styles to be a More Effective Team Leader and Engineering Manager,” Engineering Management Journal, vol. 15, no. 1, pp. 27–33, Mar. 2003, doi: 10.1080/10429247.2003.11415193.[33] J. V. Farr, S. G. Walesh, and G. B. Forsythe, “Leadership Development for Engineering Managers,” J. Manage. Eng., vol. 13, no. 4
? • How do PENG students describe their program experiences at a public University? • How can we redesign the PENG program to better support students? • What similarities exist between under-recruited Zipcodes in Michigan and student representation in the PENG program at a public University? These guiding questions help in examining students' needs, comfort issues, and concerns about the support provided in a PENG program and further assist higher education personnel in enhancing their office's tools and processes to better support students and use data more effectively to better track, identify, and support students. B. Abbreviations and Definitions of Technical Terms • STEM — Science Technology Engineering and
model tested (a Corvette C8). Even though the specific value was notutilized for comparison, the drag coefficients are pretty close but not within the ideal 5% range. In the future, the force balance system will be utilized to study the deflections andbending moment of a stem and compared to both the analytical and fluid-structure interactionanalysis. Also, the results of the force balance system will be compared to that of the dataacquisition system at different speeds.References[1] R. Bishop, W. Fisher, A. Doom, E. Hollingsworth, B. Mazzoni. and M. Chidurala, “Wind Tunnel Data Acquisition System,” in IMECE 2021, Virtual Conference, November 1-5, 2021.[2] A. Doom, E. Hollingsworth, R. Bishop, W. Fisher, B. Mazzoni and M
seven-segment display. b. The second game needs to be improved. i. The breadboard adds complexity, and the relationship between the switches and the LED is not straightforward. 1. MSB and LSB are hard to understand in the transition from the graphic circuit and the board. 2. General considerations for the games a. The point system engages learning. i. Adding a time limit as a group challenge generates anxiety. 3. General considerations for the FPGA board a. The board helps to think of the real-life applications of the hardware concepts. i. The FPGA board provides multiple means of
students at a university in South Africa. International Journal of STEM Education, 7, Article 60. https://doi.org/10.1186/s40594-020-00256-xAdhikari, P. (2017). Motivation in pursuing advanced degrees in STEM fields among domestic and international students. The Young Researcher, 1(1), 146–155. http://www.theyoungresearcher.com/papers/adhikari.pdfCraig, C. J., Verma, R., Stokes, D., Evans, P., & Abrol, B. (2018). The influence of parents on undergraduate and graduate students’ entering the STEM disciplines and STEM careers. International Journal of Science Education, 40(6), 621–643. https://doi.org/10.1080/09500693.2018.1431853Duffy, R. D., & Dik, B. J. (2009). Beyond the self: External influences in the
to the MATLAB simulations. Figure 3cshows the MATLAB plot for the transient response of the derived open-loop DC motor system,which is comparable to the one observed in Figure 3b. Figure 3a: LabVIEW block diagram for motor identification exercise Figure 3b: LabVIEW front panel for motor identification exercise Figure 3c: MATLAB plot for motor identification exercise (transient response)C. Open and Closed Loop Performance of DC Motor System The goal of this assignment is to investigate the response of the motor system in the open-loop and closed-loop configurations. The block diagrams representing the motor open loop and closed loop configurations are shown in Figures 4 a & b
(CO) - PROGRAM OUTCOME (PO) MATRIX Table II PROGRAM OUTCOME (PO) MAPPING TO INTERNATIONAL ENGINEERING ALLIANCE (IEA) - WASHINGTON ACCORD GRADUATE ATTRIBUTE (WA) IEA – WA Program Outcome Graduate Attribute PO Statement Sub-Attribute PO4 Conduct investigations, interpret a) Use research methods for WA4 data and provide conclusions in collecting data. investigating complex problems b) Analyze and interpret
. Fenton-O’Creevy, S. Hutchinson, C. Kubiak, and B. Wenger-Trayner, Learning in Landscapes of Practice: Boundaries, Identity, and Knowledgeability in Practice-Based Learning. Routledge, 2015.[7] D. H. Meadows, Thinking in Systems: A Primer. Chelsea Green Publishing, 2008.[8] K. Luker, Salsa Dancing into the Social Sciences: Research in an Age of Info-Glut. Harvard University Press, 2008.
telecommunication systems asit is efficient in error containment and distributed computing. Elixir allows the backend ofVI-Ready to be lightweight and fault-tolerant, which is advantageous for online systems. Thefrontend of VI-ready was developed using Clojure, a functional Lisp-like programming language.The system stores user information, logs of the interview, interview questions, and avatarinformation in a PostgreSQL database.In our study, learners were randomly assigned one of two possible virtual hiring managers (Figure2). Since we cannot make assumptions about the perceived gender of an agent, we refer to thesetwo conditions as Hiring Manager A and Hiring Manager B. Both of these hiring managers wereassigned employing the “friendly” condition in this
), an HSI in the State University of New York (SUNY) system. In year one, Cohort Apiloted the PD modules in Tier 1 which featured reflective exercises and small culturallyresponsive activities to try with their STEM students. In year two, Cohort A piloted the PDmodules in Tier 2 and peer-mentored Cohort B as they piloted optimizations introduced to Tier 1from Cohort A feedback. Three types of optimizations came from faculty feedback. The firstconsidered feedback regarding delivery and/or nature of the content that influenced a subsequentmodule. The second involved making changes to a particular module before it was delivered toanother faculty cohort. The third takes into account what worked and what didn’t to decidewhich content to bring into
. 5 Resources[1] K. Krippendorff, Content analysis : an introduction to its methodology, 3rd ed. Beverly Hills: Sage Publications, 1980.[2] G. L. Gray, D. Evans, P. Cornwell, F. Costanzo, and B. Self, "The Dynamics Concept Inventory Assessment Test: A Progress Report," in Proceedings of the 2005 American Society for Engineering Education Annual Conference, Portland, OR, 2005.[3] G. L. Gray, D. Evans, P. Cornwell, F. Costanzo, and B. Self, "Toward a Nationwide Dynamics Concept Inventory Assessment Test," in Proceedings of the 2003 American Society for Engineering Education Annual Conference, Nashville, TN, 2003.[4] P. S. Steif and J. A. Dantzler, "A Statics
.[5] O. Lawanto, A. Minichiello, J. Uziak, A. Febrian, A. Task Affect and Task Understanding in Engineering Problem Solving. Journal of Technology Education, vol. 30, no. 2, pp. 21-38, 2019.[6] Zimmerman, B. J., & Campillo, M. Motivating self-regulated problem solvers. In J. E. Davidson & R. J. Sternberg (Eds.), The psychology of problem solving (pp. 233–262). Cambridge: Cambridge University Press, 2003.[7] Gafoor, K., & Kurukkan, A. Self-Regulated Learning: A Motivational Approach for Learning Mathematics. International Journal of Education and Psychological Research (IJEPR), vol. 5, no. 3, pp. 60-65, 2016.[8] M. Boekaerts, "Self-regulated learning: Where we are today," International
, machine learning aims to course correct whenthe students perceived understanding of the material differs from the true knowledge θ, whereasmachine teaching is about how to design the means to teach θ in an optimal way. A visualizationof this model can be seen in Figures 1a-1c. (b) Education with Machine (c) Education with Machine(a) Idealized Education Model Learning TeachingFigure 1: Visualization of the algebraic model discussed. In 1a, the instructor aims for the studentsto learn θ given a set of materials D. Each student learns slightly differently, represented by f .Ideally, all students reach θ given D. In 1b, a machine learning algorithm A can be used to detector
picture with their specifications. If your chosen gas turbine produces more energy than a pump, you can sell the excess energy to the power companies at a price of $0.13/KWhr. 9) For the selected gas turbine model in point 8) how much power can be generated using the mass flow rate from point 6)? Distinguish the part of the power used by the compressor and the rest coming out of the system to power the pump jack. 10) In point 5) you calculated the efficiency for a pressure ratio of 9, what will be the efficiency of the pressure ratio was 15? 11) Design a 500 MW system to be established in Odessa-Midland region. a) Using regenerative natural gas powered gas turbine and b) combined gas turbine and steam
; Exposition Proceedings, Tampa, Florida, 2019, p. 32198. doi: 10.18260/1-2--32198.[21] R. Carr and H. Diefes-Dux, “Change in Elementary Student Conceptions of Engineering Following an Intervention as Seen from the Draw-an-Engineer Test,” in 2012 ASEE Annual Conference & Exposition Proceedings, San Antonio, Texas, 2012, p. 25.299.1-25.299.12. doi: 10.18260/1-2-- 21057.[22] B. Fralick, J. Kearn, S. Thompson, and J. Lyons, “How Middle Schoolers Draw Engineers and Scientists,” J. Sci. Educ. Technol., vol. 18, no. 1, pp. 60–73, Feb. 2009, doi: 10.1007/s10956-008- 9133-3.[23] B. M. Capobianco, H. A. Diefes-dux, I. Mena, and J. Weller, “What is an Engineer? Implications of Elementary School Student Conceptions for Engineering
aspects of computational thinking,” Washington, DC: The National Academies Press, 2011.[16]. B. DiSalvo, C. Reid, and P. K. Roshan, “They can't find us: the search for informal CS education,” In Proceedings of the 45th ACM technical symposium on Computer science education, pp. 487-492, 2014, March.[17]. A. Yadav, H. Hong, and C. Stephenson, “Computational thinking for all: Pedagogical approaches to embedding 21st-century problem solving in K-12 classrooms,” TechTrends, vol. 60, pp. 565-568, 2016.[18]. L. Martin-Hansen, “Examining ways to meaningfully support students in STEM,” International Journal of STEM Education, vol. 5, no. 1, pp. 1-6, 2018.[19]. A. Silver & B. S. Rushton, “Primary-school
locations. The centralized platform will capture multimedia data (audio, video, text)from the two locations listed above for display and analysis on monitor(s) in the chosen locationand will be used to store the data at regular intervals such as hourly, daily, and weekly recordsfor future retrieval and analysis.Product RequirementsThe product requirements are: 1) Primary or main display monitor setup to provide (a) the overview of each remote location (b) key real-time multimedia data captured. 2) Secondary display of room-level, workbench-level, device-level status from each remote location. 3) Controls to navigate across primary and secondary displays at different visual resolutions/zoom features
. H. Rosales, J. Haines, and A. D. Benally, “Development of Undergraduate Students’ Professional Skills,” Journal of Professional Issues in Engineering Education and Practice, vol. 135, no. 3, pp. 102–108, Jul. 2009, doi: 10.1061/(asce)1052- 3928(2009)135:3(102.[6] J. Donnell, B. M. Aller, M. Alley, and A. A. Kedrowicz, “Why Industry Says That Engineering Graduates Have Poor Communication Skills: What the Literature Says”. 2020. doi: 10.18260/1-2--18809.[7] S. Kauppi, H. Muukkonen, T. Suorsa, and M. Takala, “I still miss human contact, but this is more flexible—Paradoxes in virtual learning interaction and multidisciplinary collaboration,” British Journal of Educational Technology, vol. 51, no. 4, pp. 1101–1116, Jul. 2020
4.992 B. Correlation and Chi-Square Analysis To further understand the relationship between faculty's effective communication and students' motivation [15,16,17,18 ], we ran a correlation test between the two components constructs, followed by a Chi-square analysis. Results indicate that there is a positive relationship between the constructs. The relationship is significantly genuine with a p-value < 0.001 and a medium effect size (>0.5). 1. Relationship between Care, Express, and Value. Independent values are Value and Express dimensions, and the dependent variable is the care construct. Fig. 2 Cross-tabulation Bar Chart between Motivation constructs and Communication dimensions
) (b) Fig. 1 Evaluation of student skills for engineering design in terms of (a) confidence in using design tools and (b) knowledge in engineering design processThe collaborative education between university and industry leverages the educational resourcesin universities and the real-life practices and experiences in industry. Survey results indicatedthat 93.33% of the students believed that involving industrial sponsored open-ended problemshelped with the design thinking process (as shown in Fig. 2). These problems addressedchallenging and pressing issues faced by enterprises, balanced with innovation, cutting-edgeresearch, and openness, which meets the needs of students with diverse interest and background.Through solving
activities have still remained unclear. Few studies involve teachers’perspectives. Therefore, as an effort to extend current research, the study uses abottom-up strategy to explore how engineering teachers understand and practice thisconcept in class.MethodWe conducted 6 semi-structured interviews with teachers from 3 leading universities(aliases “A” “B” and “C”)in engineering education in China. The interviewees camefrom four different subjects. The questions include: Demographic information of the teacher (major, years of teaching, courses…) What methods does the teacher use in his/her courses? What kind of knowledge and abilities does the teacher aim to foster in his/her classes? How does the teacher understand
2021, amid strong labor demand and lowunemployment as vaccinations eased the severity of the COVID-19 pandemic” [4]. Most believethe Great Resignation started near the “end” of the COVID 19 pandemic in April 2021 [5].Currently, there is no end date which begs the question, “Is this the new norm?” [1]. Other namesfor this phenomenon include: The Great/Big Quit, The Great Discontent, The Great Reshuffle,and Quiet Quitting. (a) (b) Figure 1 The nonfarm quit rate (a) in millions and (b) in percent [6].Figure 1 shows how many non-farm employees quit between 2012 and 2022. It doubled in thattime period. There was a dip in the curves during the height of the COVID-19
”, Journal of Professional Issues in Engineering Educationand Practice, vol. 144, issue 2, p. 0401800, 2018. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000359[3] B. Marcus, M. C. Ashton, and K. Lee, “A Note on the Incremental Validity of Integrity TestsBeyond Standard Personality Inventories for the Criterion of Counterproductive Behavior”,Canadian Journal of Administrative Sciences - Revue Canadienne des Sciences de lAdministration, Vol. 30 No. 1, pp. 18-25, 2013. https://doi.org/10.1002/cjas.1235[4] B. R. Childs, J. E. Weidman, C. B. Farnsworth, and Jay P. Christofferson, “Use of PersonalityProfile Assessments in the U.S. Commercial Construction Industry”, International Journal ofConstruction Education and Research, vol 13, issue 4, pp. 267-283
. Lerdal, K., & Surovek, A. E., & Cetin, K. S., & Cetin, B., & Ahn, B. (2019), Tools for Assessing the Creative Person, Process, and Product in Engineering Education Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2—33445 16. Sola, E., Hoekstra, R., Fiore, S., & McCauley, P. (2017). An Investigation of the State of Creativity and Critical Thinking in Engineering Undergraduates. Creative Education, 8(09), 1495. doi:10.4236/ce.2017.89105 17. Elliot, A.J., & Church, M.A. (1997). A hierarchical model of approach and avoidance achievement motivation. Journal of Personality and Social Psychology, 72, 218-232 18. Working Group for the
compared to using the traditional laboratory device? b. How does the classroom observation protocol for undergraduate STEM (COPUS) assess the level of instructor-student interaction?Experimental Concept and Theoretical BackgroundThis study was designed with the application of a hands-on kit consisting of a pendulum bob,retort stand with clamp, string, and portable stopwatch for the ECP mode, while the traditionalmode (non-ECP) consists of Logger Pro software, retort stand, pendulum bob, string, and aPhotogate for sensing the bob’s motion. This experiment focuses on the determination ofacceleration due to gravity and how the bob string’s length depends on the period of oscillationof a simple pendulum experiment. Two different sessions were
by other students and how instructors can work todisrupt these dynamics and support all students in engaging in more careful classroominteractions.References[1] D. Ozkan and C. Andrews (2022). “Perspectives of Seven Minoritized Students in a First-Year Course Redesign toward Sociotechnical Engineering Education”. Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. https://peer.asee.org/41382[2] Fries-Britt, S., George Mwangi, C. A., and Peralta, A. M. (2014). Learning race in a U.S. context: An emergent framework on the perceptions of race among foreign-born students of color. Journal of Diversity in Higher Education, 7(1), 1–13. https://doi.org/10.1037/a0035636[3] Ross, M. B. Capobianco, and A