% 7.6% Engineering Statistics 4.3% 6.0% Dynamics 5.4% 8.1% average 5.2% 7.2%Since the exams are part of the grading rubric, it is worth looking at the impact of partial credit tothe overall final course grade. In our institution, the final student course performance is assessedby the letter grades ranging from not passing (D+ or below), C-, C, C+, B-, B, B+, and A. Table4 shows the percentage improvement of the letter grade for these three courses as the result ofpartial credit. When the grade improved from C to C+, it is noted in the table as half gradeimprovement. Two half
universitiesthat are a) known for being military-friendly schools and/or b) located in military-friendlycommunities, often in close proximity to U.S. military installations, that offer substantial socialsupport for veterans and servicemembers outside of school [1]. Little research exists thatexamines military student experiences in other contexts, such as 2- and 4- year public collegesand universities that may have limited supports (and support dollars) for military students, and/orare not located in or near military-friendly communities. Despite this dearth of research, there isboth a need and desire to increase awareness and support for military students at theseinstitutions.LiteratureResearch with military students who are engaged in undergraduate
coded to numeric values according to thenormal five-point Likert scale.The survey was administered at the conclusion of each ETD session, and the results weretimestamped. Although the responses are anonymous, the timestamp indicates which session therespondent participated in. To determine if student responses were dependent on thefacilitator/instructor, the data was organized by facilitator/instructor (Appendix B). An ANOVAtest was used to determine if there was a statically significant difference between student responsesfor the three facilitators/instructors for each of the six statements in the survey. There is nosignificant difference in student responses for the three session facilitators/instructors.The response rate of students in large
was based around the topic of kinetic analysis of rigid bodies. The projectfocused on the analysis of the trampoline fatigue testing rig in Fig. 4 throughout the full range ofmotion of the machine. Throughout this range of motion, the students needed to find the forcesat the connecting points B and C along with the torque that would be needed to drive the maindisk. During the process of analyzing these forces, the students would need to find the range ofmotion where the feet (Point D) are not in contact with the trampoline and the range where theyare to determine when a trampoline spring force should be included. Figure 4. Representation of the trampoline testing rig [7].To solve this problem the students had to separate out
), interference between various antennas onaircraft and base stations (Figure 5), ribbon cable design, grounding system for data converter(Figure 6), ESD vs. PCB layout (Figure 7), and general guidelines for EMC system design. Figure 4 Biconical antenna in an anechoic chamber [3].Figure 5 Interference between various antennas on aircraft and base stations [4]. Figure 6 Grounding system design for data converter [5]. (a) Connection to Oscilloscope (b) Test board with two test paths Figure 7 ESD immunity vs. PCB layout [6].Incorporating industry best practices into the EMC curriculum provides students with greaterhands-on knowledge of recent industry and research
study is being performed on two groups (A and B) of sophomore students inthe Joint Biomedical Engineering Department at the University of North Carolina at Chapel Hilland North Carolina State University. Student participants were grouped based on the sequence inwhich they took two required second-year courses (Biomechanics and Biomaterials). Group Aare students who enrolled in Biomechanics in the Fall 2022 (FA22) semester and Biomaterials inSpring 2023 (SP23). The instructors for Group A developed technical scientific writing modulesthat are being implemented in the lab portion of the course. Group B consists of students whotake Biomaterials in FA22 and Biomechanics in SP23 without the technical writing component.Students from both groups will
through a chapter of the textbook and then answeredrelevant conceptual questions through an online platform. A sample conceptual question isprovided below in Box 1. Students were allowed an unlimited number of tries to complete theconceptual questions. Once a student correctly answered all of the questions for the chapter, thereading assignment is considered complete, and extra credit is awarded to the student. Hooke's law, σ = Eε, models behavior up to the _____ for ductile materials. a) failure point b) proportional limit c) ultimate stress d) yield point Box 1: Example conceptual question for reading assignments.Hands-on Inquiry-Based Learning ActivitiesStudents in the class could also choose to complete optional
Center for Science and Engineering Statistics. Diversity and STEM: Women, Minorities, and Persons with Disabilities, (2023).[2] D. M. Hatmaker, “Engineering Identity: Gender and Professional Identity Negotiation among Women Engineers”, Gender, Work and Organization, 20(4), 382–396, (2012). https://doi.org/10.1111/j.1468-0432.2012.00589.x[3] B. M. Capobianco, B. F. French, and H. A. Diefes-Dux. “Engineering Identity Development Among Pre-Adolescent Learners”, Journal of Engineering Education, 101(4), 698–716, (2012). https://doi.org/10.1002/j.2168-9830.2012.tb01125.x[4] A. Simpson, and P. N. Knox, “Children’s Engineering Identity Development Within an At- Home Engineering Program During COVID-19
Methodology: The Affective Labors of Intervention in theLudic Economy. Games and Culture (2018), 1555412018764992[5] Manning, L. (1988). Erikson's psychosocial theories help explain early adolescence. NASSP Bulletin,72(509), 95-100.[6] Next Generation Science Standards, (2022). Next Generation Science Standards: Engineering Designaccessed from https://www.nextgenscience.org/pe/ms-ets1-1-engineering-design on 2/13/2023[7] Narvaez, D., Lapsley, D. K., Hagele, S., & Lasky, B. (2006). Moral chronicity and social informationprocessing: Tests of a social cognitive approach to the moral personality. Journal of Research in Personality, 40(6),966-985.[8] Progression of Computers Science Teachers Science Standards Retreived fromhttps://csteachers.org
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
(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
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
. 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
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
. 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.
), 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] 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
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
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