fuel efficiency, reduced noise levels, • 12V Lead-acid Batteryand improved portability. • 1000-Watt Inverter As Anderson [16] highlights, hybrid generators offer a sus- • Rubber Bumperstainable path forward, enabling applications beyond aviation. • Steel FrameThe versatility of the proposed system positions it as a viablesolution for disaster relief, remote healthcare, and construction. B. Detailed CalculationsIts ability to provide clean and efficient power makes itparticularly valuable for critical scenarios where reliability isparamount
accessible to instructors is beneficial to facilitate within semester adjustments and more detailed analyses. • Bar Chart: The bar chart shows students' individual scores and progress in learning across each CD. Raw scores from Gradescope are processed further to produce these plots visible in the dashboard that are useful to track individual student’s progress across individual requirements. If the class statistics are useful for overall class adjustments, these bar charts are helpful to identify specific students who need further support and to track the impact of such personalized interventions across the semester. • Radial Plots (A, B, and C): Finally, the radial plots on the bottom part of the
about their understanding, intended application, and future utility of thecommunication strategies taught in the module. Students answered the following reflectionquestions: 1) What did you learn from the module? 2) How will you apply what you learnedwhile writing survey questions and conducting interviews? 3) How can strategies forcommunication that you learned in this module serve you in a) this course? b) your major? andc) your future personal and professional life?3.3 Data AnalysisDeveloping RubricThe categories of critical reflection, perspective shift, and application of new perspectives wereselected for the rubric because they aligned with the components of Social Perspective Taking(SPT) the cognitive, affective, and motivational
. Table 3: Response generation to programming related questions Query Query Classification Response Write code for nth number of Code Sure! Here is a step-by-step algorithm to find the nth number of the Fibonacci Fibonacci sequence sequence: code 1. Define a function that takes an input `n` which represents the position of the Fibonacci number in the sequence. 2. Initialize two variables, `a` and `b`, to 0 and 1 respectively. These will
Fundamentals A, B, C.” We followed the research framework of course design,implementation, and feedback to reveal the exemplary practices of this case in cultivating AIliteracy for multidisciplinary students. Table 3 Overview of AI Fundamentals Course Series Courses AI Fundamentals A AI Fundamentals B AI Fundamentals C Recommended Science, Engineering, Humanities, and Social Humanities, and Social Disciplines Agriculture, and Medicine Sciences Sciences Python or C language Prerequisites Fundamentals of Computer Python No
education context andidentify areas for subsequent research. Among the selected findings of this review, this briefdemonstrates the emergence and persistence of SNA in the existing body of engineeringeducation literature as a method to quantify and analyze interpersonal relationships betweenengineering students, faculty, staff, and interested independent learners.Despite the breadth of applications, we also identified several key areas for SNA to providefuture benefits including a) the need for future SNA studies to consider and thoroughly reportparticipant demographic data, b) the importance of extending student network data beyond asingle course in participants, and c) the importance of extending network data collection beyonda single semester in
Contexts: Conceptualization, Assessment, and Association With Psychopathology,” Journal of Personality and Social Psychology, 1991. [8] M. W. Enns and B. J. Cox, “The nature and assessment of perfectionism: A critical analysis.” in Perfectionism: Theory, research, and treatment., G. Flett and P. L. Hewitt, Eds. Washington: American Psychological Association, 2002, pp. 33–62. [9] M. Moroz and D. M. Dunkley, “Self-critical perfectionism, experiential avoidance, and de- pressive and anxious symptoms over two years: A three-wave longitudinal study,” Behaviour Research and Therapy, 2019.[10] L. A. Terry-Short, R. G. Owens, P. D. Slade, and M. E. Dewey, “Positive and negative perfectionism,” Personality and Individual
considered period, b) public institutions that had not hada female leader during the considered period and have not had an ADVANCE initiative, and c)public institutions that did not have an initial critical mass but had an ADVANCE initiative [4].From our results, since the paths towards increasing participation included those that did not haveADVANCE initiatives, we interpret that there are additional theoretical considerations that, ifunderstood, could bring a better grasp of alternative strategies, as well as barriers to achieving thegoals of ADVANCE, and other BPIs. In this research we explore such potential.Study DesignThe first stage of our project is this observational and retrospective study, in which we rely mainlyin publicly available
Online Education in Times of Crisis,” Computers in Human Behavior, vol. 121 (August), p. 106793, 2021. https://doi.org/10.1016/j.chb.2021.106793.[4] “Faculty Readiness to Begin Fully Remote Teaching.” [Online]. Available: https://er.educause.edu/blogs/2020/3/faculty-readiness-to-begin-fully-remote-teaching. [Accessed January 9, 2023].[5] K. A. Weeden and B. Cornwell, “The Small-World Network of College Classes: Implications for Epidemic Spread on a University Campus,” Sociological Science, vol. 7, pp. 222–241, 2020.[6] S. Rashid and S. S. Yadav, “Impact of Covid-19 Pandemic on Higher Education and Research,” Indian Journal of Human Development, vol. 14, no. 2, pp. 340–343, 2020.[7] P. Sahu
studentto their assigned report for review. Students were given basic guidelines for completion of asatisfactory peer review.Grading of the reports was based on a hierarchical checklist inspired by the Specifications Gradingsystem, whereby certain satisfactory elements were all required for them to earn a D, C, B, or A ontheir report, including all lower-grade checklist items [14]. To earn a C, for example, a report had tosatisfactorily achieve all items for both a D and a C, and so on for a student to earn an even highergrade. The ILE lab manual and grading checklists are given in Appendix A.Assessment of effectiveness of ILEThis study seeks to assess how the introduction of the inquiry-based ILE affects the students’ self-efficacy, motivation
them for success in their engineering careers.Dr. Heidi G. Loshbaugh, University of Colorado Boulder Heidi G. Loshbaugh, Ph.D., is passionate about higher education’s role in the public good. She has taught, conducted research, and served as a college administrator with a keen focus on equity. As a community college dean, she was PI for a $3.5M US Dept. of Ed. award to transform STEM education. Her implementation of math corequisite instruction led the B & M Gates Foundation to fund an ROI study that revealed the time and cost savings for students, the cost effectiveness for the college to implement the reform, and the dramatic improvement in completing college-level math for community-college students. She
student persistence, The Journal of Higher Education, 1997, vol. 68, no. 6, pp. 599-623.[15] M. Estrada, M. Burnett, A. G. Campbell, P. B. Campbell, W. F. Denetclaw, C. G. Gutiérrez, S. Hurtado, G. H. John, J. Matsui, R. McGee, C. M. Okpodu, T. Joan Robinson, M. F. Summers, M. Werner-Washburne, and M. E. Zavala. Improving Underrepresented Minority Student Persistence in STEM, CBE life sciences education, 2016, vol. 15, no. 3, [Online]. Available: https://doi.org/10.1187/cbe.16-01-0038[16] B. W. L. Packard. Successful STEM mentoring initiatives for underrepresented students: A research-based guide for faculty and administrators, Stylus Publishing, LLC., 2016.[17] N. Thomas, M. Poole, and M. Herbers
-com.https://www.tandfonline.com/doi/full/10.1080/21532974.2023.2247480Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021, November 22).Conceptualizing ai literacy: An exploratory review. Computers and Education: ArtificialIntelligence. https://www.sciencedirect.com/science/article/pii/S2666920X21000357Selwyn, N. (2019). Should robots replace teachers? AI and the Future of Education. (1st ed.)Polity Press.Yeter, I. H., Yang, W., & Sturgess, J. B. (2024). Global initiatives and challenges in integratingArtificial Intelligence Literacy in elementary education: Mapping policies and empiricalliterature. Future in Educational Research, 2(4), 382–402. https://doi.org/10.1002/fer3.59Yeter, I., Rynearson, A., Ehsan, H., Rehmat, A
an opportunity to learn: Undergraduate engineering students’ conceptions of failure and iteration,” Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon, 2024, doi: 10.18260/1-2--48550[4] Atwood, S. A., & Scalaro, K., & Holcombe, R., “Board 315: Initial Findings of Engineering Faculties’ Perceptions of Mastery Assessment in a Project-based Engineering Program,” Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon, 2024, doi: 10.18260/1-2--46894[5] K. M. Degoede, B. Read-Daily, and R. Koh, “MBL (Mastery-Based Learning) Supports a Normalization of Failure as an Essential Part of Learning,” Paper presented at 2024 ASEE Annual Conference &
. Hinings, D. Logue, and C. Zietsma, “Fields, institutional infrastructure and gov- ernance,” The Sage handbook of organizational institutionalism, pp. 163–189, 2017. [5] E. Chenoweth, Civil resistance: What everyone needs to know®. Oxford University Press, 2021. [6] A. Reuel, B. Bucknall, S. Casper, T. Fist, L. Soder, O. Aarne, L. Hammond, L. Ibrahim, A. Chan, P. Wills et al., “Open problems in technical ai governance,” arXiv preprint arXiv:2407.14981, 2024. [7] R. Søraa, AI for diversity. CRC Press, 2023. [8] T. Gebru and É. P. Torres, “The tescreal bundle: Eugenics and the promise of utopia through artificial general intelligence,” First Monday, 2024. 6
‘Error,’” presented at the ASEE Annual Conference and Exposition, 2024.[7] Z. del Rosario, J. Ryu, and E. Saur, “Targeting Consequences of Variability as a Data Science Resource,” presented at the IASE Roundtable Conference, Auckland, NZ: IASE, 2024.[8] Z. del Rosario, J. Ryu, and E. Saur, “A Mixed-Methods Study of Statistical Thinking in Engineering Practice,” presented at the ASEE Annual Conference and Exposition, 2024. [Online]. Available: https://peer.asee.org/46755[9] S. H. Kerns and J. B. Wilmer, “Two graphs walk into a bar: Readout-based measurement reveals the Bar-Tip Limit error, a common, categorical misinterpretation of mean bar graphs,” J. Vis., vol. 21, no. 12, p. 17, Nov. 2021, doi: 10.1167/jov.21.12.17.
than 75% ofassessments as hands-on projects. The elective requirements and the chosen courses include: Electives A, B, C: Students are required to take three upper-level EE courses that allow focused education in one of the ECE emphasis areas. This set includes undergraduate courses such as EE 3120: Electronics 2, EE 3410: Digital Signal Processing (DSP), and CpE 3150: Introduction to Microcontrollers and Embedded Systems. Note that there is a bigger list of courses that can satisfy these electives [6]. Only those courses with suggested project-based instruction implementation are included and discussed in this paper. Elective D: Students are required to take one graduate level ECE course
constant τ is given by: 𝑎𝑇𝐹 = 𝜏𝑠+1 for a step input of magnitude b,a. Use the final value theorem to determine the steady-state response of the system.b. Determine the complete response of the system using Laplace transformation.c. Calculate how close the system's response is to the steady-state value at times 𝑡=𝜏 and t=4τ. Express the response as a percentage of the steady-state value.In this problem, students engage directly with the mathematical representation of a first-ordersystem without prior lecture-based instruction. Instead of being told the exponential time responseor its key properties in advance, they discover the significance of the time constant (τ) bycomputing the system's response at t = τ (63%) and t = 4τ (98
indicated control chartsand the origin of control limits are an especially difficult topic for some students. We found theconcept of calculating the “mean of means” or “average of the averages” is not intuitive. For thisreason, we attempted to fully deconstruct the process of creating and using run/control charts. Wedesigned a clear visual language for the graphs and other data visualization tools, and created aninteractive GUI that allows students to experiment with data fitting and sampling.Figure 3. Design for interactive run charts and histograms which allow users to (a) select and binrun chart data in a histogram, and (b) fit a gaussian curve to histogram data.As shown in Figure 3, the data in each run chart is color coded to indicate which
each discipline; (b) the elimination of the barriersof the four disciplines, i.e. transforming the traditional vision of learning from isolatedconcepts disconnected from reality to a new form of the systemic interrelation of knowledge;(c) integration to reality, which means the conceptual connection of the four disciplines withreal-life experiences; and (d) rigorous and relevant experiences for students, which impliesengaging the student with the challenge of applying the holistic of the four disciplines to theirdaily problems [4].However, Bybee indicates that not all educational initiatives in the global north have a STEMfocus, although they call themselves STEM. It has been a permanent trend in developedcountries only to present a promise of
throughout the theoretical model.When it is cited, the influence of time primarily relates to (a) the students’ ability to manage theirtime when they are in college, (b) the time it takes to emotionally and physically make thesecondary-tertiary transition, and (c) time to develop mathematics skills. TABLE III NUMBER OF CITATIONS ASSOCIATED WITH THEMES Citations Theme Codes Percentage Rite of Passage 61 24.4 Affective 15 6.0 Student Autonomy 19 7.6
Paper ID #49066Development of a Diagnostic Tool to Identify Graduate Students’ Self-DeterminedCommunicationDr. Denise Rutledge Simmons P.E., University of Florida Denise R. Simmons, Ph.D., PE, F.ASEE, PMP, LEED-AP is a distinguished figure in civil engineering education and workforce development. With tenure at the University of Florida’s Department of Civil and Coastal Engineering, she blends deep academic knowledge with hands-on industry experience. With over three decades of work experience in positions across consulting, professional engineering, and academia, Dr. Simmons has served in diverse roles, from
understanding of the course material. 4.4 4.2 4.1 27 L.) Having the notes and other materials available in advance of class helped me to better use the class-time. 3.9 3.9 3.9 28 Q.) The way this course was taught helped me gain a deep understanding of the material. 4.1 4.0 3.2 16 B.) I preferred the video lectures as compared to live lectures. 1.7 1.9 2.0 20 H.) I preferred the use of the in-class discussion questions as a supplement to a lecture when compared to a lecture without formal discussion questions
Control, vol. 10, no. 2, pp. 125–126, Apr. 1965, doi: https://doi.org/10.1109/tac.1965.1098125.[2] T. F. Edgar, “Process Control Education in the Year 2000,” Chemical Engineering Education, vol. 24, no. 2, pp. 72–77, Jan. 1990.[3] T. F. Edgar, B. A. Ogunnaike, J. J. Downs, K. R. Muske, and B. W. Bequette, “Renovating the undergraduate process control course,” Computers & Chemical Engineering, vol. 30, no. 10–12, pp. 1749–1762, Sep. 2006, doi: https://doi.org/10.1016/j.compchemeng.2006.05.012.[4] F. Khan, P. Amyotte, and S. Adedigba, “Process safety concerns in process system digitalization,” Education for Chemical Engineers, vol. 34, pp. 33–46, Jan. 2021, doi: https://doi.org/10.1016/j.ece
observedneurodivergent students were less likely to report being recognized as engineers by colleagues,which might relate to the pressures they feel to conform or hide their true selves, and additionalchallenges with the job search process which align with the experiences of rejection sensitivitydysphoria. These results indicate co-op experiences as a potentially beneficial pathway forbringing more neurodiverse individuals to the engineering workforce.AcknowledgementsThis work was supported by NSF Award #.References[1] M. Chrysochoou, A. E. Zaghi, and C. M. Syharat, “Reframing neurodiversity in engineering education,” Front. Educ., vol. 7, p. 995865, Nov. 2022, doi: 10.3389/feduc.2022.995865.[2] A. R. Fleming, M. Edwin, J. A. Hayes, B. D. Locke
skilled, diverse, and motivated workforce to meet the futurechallenges of the construction sector. While this study used a statistically reliable sample size,the generalization of findings is not warranted. Additional participants, subsequent rounds of datacollection, inclusion of other schools, and incorporation of factors such as location, gender, andfinancial considerations could enhance the reliability of the analysis and provide more robustfindings.References[1] K. Kisi, D. Shields and P. Shrestha, "Identifying Factors That Influence the High School Students’ Choices to Pursue Architecture, Construction and Engineering Baccalaureates," Las Vegas, Nevada, 2011.[2] B. F. Bigelow, D. Bilbo, M. Mathew, L. Ritter and J. Elliot, "Identifying
identifying and accommodating the mentees’ communication style.Although more than 50% of mentees gave a high rate, the lowest percentage of rates “6” and “7”was given to aligning expectations. a) Overall Mentoring Quality b) E-Lead Mentor Rating 60% 54.2% 60% 52.8% 50% 50% 37.5% 36.1% 40% 40% 30% 30
failure inSuburbia Row to critical severity, through piping in River Road to moderate severity, andunderpiping in Alice Farms to low severity—develop simultaneously. The scenario concludeswhen the levee section at Suburbia Row breaches due to a shear failure. Players muststrategically manage all three mechanisms, prioritizing their actions based on the level ofcriticality in each area to stabilize the virtual environment.MethodsPilot implementations of this module were conducted at two institutions. The implementation atUniversity A, a four-year private research university, involved 91 students total. Theimplementation at University B, a four-year private primarily undergraduate college, included 21students. Despite differences in institutional
Paper ID #47278Impact of Faculty Behaviors on Student-Faculty Rapport: A Multi-InstitutionalStudyDr. Fethiye Ozis P.E., Carnegie Mellon University Dr. Fethiye Ozis is an Associate Teaching Professor in the civil and environmental engineering department at Carnegie Mellon University. Dr. Ozis holds a B.S. in environmental engineering from the Middle East Technical University, Ankara, Turkey and M.S. and Ph.D. degrees from the University of Southern California. Dr. Ozis is a licensed Professional Engineer, Environmental, in Arizona. She is also an ENVISION Sustainability Professional. Before joining CMU, Dr. Ozis was a
setsTto analyse and discuss. All datasets show the same distribution “A” which represents the idealized distribution of the mass of midsoles produced over a six month time frame about a year in the past. This type of data is representative of actual inspection processes where weight is monitored for process control. Each graph has a unique data set “B” which represents a newer set of data for the student to compare and discuss.The following competencies were emphasized in this oral assessment: ● Manufacturing processes: Identifying the manufacturing processes and providing observations or reasoning to support conclusions. Articulating how key features of the object would change if it were made