session lasted for more than an hour. Session 1’s duration was 86minutes, Session 2 lasted for 78 minutes, and Session 3 lasted for 74 minutes. A total of 238minutes (3 hours 180 minutes) worth of qualitative data was obtained. 3.4. Data AnalysisThe qualitative data was prepared, cleaned, and subjected to the MMCS analytical approachstarting with the thematical analysis [33]. The thematic analysis involved open coding,allowing for the initial identification and labeling of significant concepts within the data [34],[35], [36]. Subsequently, the generated codes were organized into meaningful categories,laying the foundation for the development of coherent themes that encapsulate the essence ofthe data. Next was to develop the teamwork or team
] S. Negash, “Business intelligence,” Communications of the association for information systems, vol. 13, no. 1, p. 15, 2004. [5] S. Siuly and Y. Zhang, “Medical big data: neurological diseases diagnosis through medical data analysis,” Data Science and Engineering, vol. 1, pp. 54–64, 2016. [6] D. A. Jenkins, M. Sperrin, G. P. Martin, and N. Peek, “Dynamic models to predict health outcomes: current status and methodological challenges,” Diagnostic and prognostic research, vol. 2, no. 1, pp. 1–9, 2018. [7] J. Chen, K. Li, H. Rong, K. Bilal, N. Yang, and K. Li, “A disease diagnosis and treatment recommendation system based on big data mining and cloud computing,” Information Sciences, vol. 435, pp. 124–149, 2018. [8] L. Sun, C. Liu
Engineering Education.In International Perspectives on Engineering Education (pp. 203-216). Springer InternationalPublishing. https://doi.org/10.1007/978-3-319-16169-3_10Lappalainen, P. (2015). Predictors of effective leadership in industry - should engineeringeducation focus on traditional intelligence, personality, or emotional intelligence? Europeanjournal of engineering education, 40(2), 222-233.Jadidi, M., Tennakoon, D., Ullah, A., Usman, M., Vaileiou, A., Latchaev, S., Perras, M., Khan, U.T., & Baljko, M. (2022). A New Realm of Experiential Education Using Mixed Reality Sandbox.Canadian Engineering Education Association Conference, 2022.Jadidi, M. & Usman, M. (2021) “Virtual Field Surveying: A Gamification Approach”, CanadianEngineering
skills, and inadequate or ineffective academicadvising and mentoring. In 2009, Cañada College, a federally designated Hispanic-servinginstitution in the San Francisco Bay Area, received a National Science Foundation Scholarshipsin Science, Technology, Engineering, and Mathematics (S-STEM) grant to develop a scholarshipprogram for financially needy community college students intending to transfer to a four-yearinstitution to pursue a bachelor’s degree in a STEM field. In collaboration with the College’sMathematics, Engineering, and Science Achievement (MESA) program – an academic, personal,and professional support structure has been designed and implemented to maximize thelikelihood of success of these students. This support structure aims to
demonstration of non-lineareffects occurring in the DC motor (due to dry friction) illustrated in fig. 5, and in the equations ofmotion of the pendulum (the sine term). Over the course of this experiment, the students alsoapply the method of feedback linearization by removing the sine term from the equations ofmotion of the pendulum (by including it in the computed control signal). 80 60 θ (degrees) 40 20 0 -20 0 5 10 15 20 25 Time (s) Fig. 4: Open loop response Fig. 5: Sine of the steady-state
g FP5 500 FP6 s 400 c FP7 o 300 r FP8 e 200 FP9 100 0 0 20 40 60 80 100 120
3 describes the computational model. Section 4 Ωspresents results for scattering from an inviscid fluid (2)ellipsoidal shaped scatterer for varying compressibil- for s = a, b,where k1s = ωs /c0 is the wavenum-ity contrast parameters. ber and G(x, x0 ) is the three-dimensional free-space Green’s function,2 Scattering from Inhomogeneous ejk1s |x−x0 | Media G(x, x0 ) = (3
S (θ)= n= − N a [n]e c (1) I. INTRODUCTION with c meters/second being the speed of sound. The aperture A microphone array is a device consisting of several function a[n] will be assumed to be uniform for all elements,microphones, referred to as array elements that can be jointly which are also taken to be omnidirectional. Definingactivated to receive sound from preferred
, then we have 60 40Converting to the time domain, we have 20 0 -20 0 2 4 6 8 10 12 14 16 18 20We also know that the torque Figure 2: Step response to the systemIn s-domain we getThe above equation, is in a general form that can be adapted to varying inputs and changingcoefficients.Where andSolving the equation gives us an over-damped, under-damped, or
motorcycle was 52 mpg, and with a 4.8 gallon tank, the motorcycle had a range of 250 miles. As far as performance, it was able to reach a top speed of 94.9 mph and a standing quarter mile in 13.8 s at 82.3 mph [3]. Currently, the cost per gallon of gasoline is $3.29. Using this cost with the efficiency of the gasoline
Sustainability at The University of Texas at San Antonio (UTSA) for supportingthis project through the KCEID Incentive Opportunity Award. We are also grateful to the EarthenConstruction Initiative (ECI) and the entire team for their support, particularly for providing thematerials used in this study. Any opinions, findings, conclusions, or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of UTSA. ReferencesAbraham, Y. S. (2020). Importance of Active Learning in an Undergraduate Course in Construction Scheduling. ASEE Virtual Conference.Arik, S., & Yilmaz, M. (2020). The Effect of Constructivist Learning Approach and Active Learning on
predict employee attrition,”support to employees regularly working overtime could Decis. Sci. Lett., vol. 13, no. 1, pp. 1–18, December 2024.effectively lower attrition risks. The key insights from LIME [2] E. A. Khan and S. M. H. Khan, “Factors affecting employee attritionand ICE highlight the importance of personalized retention and predictive modelling using IBM HR data,” J. Comput. Theor.strategies, allowing HR to address individual employee needs Nanosci., vol. 16, no. 8, pp. 3379–3383, January 2019.more effectively based on specific factors identified through [3] F. O. Usman, N. L. Ndubuisi, C. V. Ibeh, E. R. Daraojimba, C. A
and undergraduates. Webrainstorm how engineering educators can build deeper understanding of these organizationalprocesses into everyday classes and programs. We consider the need for more research onworkplace practices that frame and stratify early-career engineers’ experiences, and moretranslation of those findings to day-to-day “toolkits” for new engineers.1. IntroductionEngineering students, especially those without internship, co-op, or industry job experience buteven those with that experience, may have limited knowledge about workplace procedureinvolving management, reporting, and advancement. Brunhaver et al.’s [1] findings suggest thatfew recent engineering graduates report having knowledge of organizational practices at thepoint of
) was used to measure ethnocentrism and the Miville-Guzman Universality-Diversity Scale – Short Form (M-GUDS-S) was used to measure three subscales: Diversity ofContact, Relativistic Appreciation, and Comfort with Differences (Miville et al., 1999; Fuertes etal., 2000). Both of these instruments use Likert scales, which introduces uncertainty in theintervals between scale points. The Likert scale data was treated as ordinal and a nonparametricMann-Whitney U-test was used to determine group differences based on Mean Rank. Data werematched for pre/post, resulting in 18 paired data sets (11 US students and 7 Central Asianstudents).Significant differences were identified between Mean Rank of students from the US universityand students from the
and by Spanish- and English-language preferences. Table 1shows the family composition and languages spoken by the ten families in each of the threerounds.Table 1Family Composition and Language Preferences for Each Round Family ID Language(s) Spoken Family Composition 1 Spanish and English Adult and child 5 Spanish and English Adult and three children 6 Spanish* Adult and three children** 7 Spanish and English Adult and two children 10 English Adult and child 11 English Adult and child 13 English
, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.REFERENCES[1] T. L. Cross, B. J. Bazron, K. W. Dennis, and M. R. Isaacs, “Towards a Culturally Competent System of Care: A Monograph on Effective Services for Minority Children Who Are Severely Emotionally Disturbed | Office of Justice Programs.”[2] A. N. Washington, “When Twice as Good Isn’t Enough: The Case for Cultural Competence in Computing,” in Proceedings of the 51st ACM Technical Symposium on Computer Science Education, in SIGCSE ’20. New York, NY, USA: Association for Computing Machinery, Feb. 2020, pp. 213–219. doi: 10.1145/3328778.3366792.[3] “CRA Taulbee
’ conation iv. Person-item distribution map (PIDM) using the Rasch model to investigate students’ perception of agreement or disagreement towards each itemInstrument analysis using Rasch Model The 96-items GOI was first introduced by Kathryn S. Atman, who previously studiedthe goal accomplishment style and psychological types amongst middle school students in theUnited States [8]. In this study, the GOI instrument was distributed to different populations andenvironments, which is the first-year engineering students in one of the universities inMalaysia, which may affect the items’ reliability and validity. The Rasch measurement model is used to assess the psychometric properties in termsof reliability and
and aquatic ecology from the University of Michigan. He is married and has two children who all love to travel.Okechukwu Ugweje (Professor)Chad S. Korach (Associate Professor and Director, School of Engineering)Ethan Andrew Shirley © American Society for Engineering Education, 2022 Powered by www.slayte.com Advancing Global Competencies within a Required Global Engineering Course During COVID-19While COVID-19 adversely affected every aspect of education, hands-on experiences and study-abroad programs were perhaps hardest hit. The University of Mount Union prides itself on theunique training it offers students for the global engineering
well asteamwork. Table 2 provides a description of the components of Module 7 as well as a list ofpossible points that may be earned by a student completing the optional components of themodule. Because CArE 5619 uses a “straight scale” without a curve, and because “required”assignments resulted in a minimum grade of “70 points = C”, students were made aware that thesuccessful completion of all optional assignments included in Module 7 would raise a student’sgrade from a “C” to a “B” (i.e., 70+10 pts).Details of the “story board” / “poster” communication exercise, including a grading rubric, areprovided in Appendix D.Table 2. Details of design work associated with Module 7) Fully understanding the problem Possible Details of assignment(s
the loading area, take them to a specific workstation, and go back to the loading area. For your reference, the company provides the layout of one of its warehouses. Each trip must take the minimum time and always be safe for both robots and workers. In case of a collision with a wall, the AGV breaks when it has a momentum of 220 kg*m/s or more
entrepreneurs' definitions, but mentioned only afew times throughout student interviews, for example, Participant 42 stated; "Entrepreneurialmindset is really just creating a new form of mental habits that will allow you to see the biggerpicture of things to make connections and values through what your work is." However, it seemsthat some of the more frequent codes such as Innovation and Business Skills were nothighlighted by entrepreneurs in previous studies. This could be due to students' lack ofexperience in the field and the fact that students are only learning about entrepreneurial mindsetin the classroom, as opposed to entrepreneurs who have real world experience with the benefitsof EM.Faculty in Zappe et al.’s study said that they believe that
on designer one “frequently if not always” for transitional tasks such asplanning, setting team goals, and developing strategies. The number “1” in the (1,2) positiondepicts designer 2’s reliance on designer 1 for the same function. The relations reflect the surveyresponses of the designers and are directional and of equal magnitude. The disconnect of nodesthree, four, and five to the other designers in this DSM indicates a weak connection of the networkat this particular threshold and function [61]. Twelve DSMs are constructed representing the threeleadership functions and three communications modes at two distinct frequency levels. Designer (Sink) 1
belong there, I don’t feel like I connect with the school … I just have that mentality of, “I just need to go through this part. I’m just passing by” … And I’m fine with that, that doesn’t bother me anymore [interview 4]Decades of research focused on college student’s college departure affirm that students are morelikely to withdraw from their institution, all together, when they are not sufficiently integratedsocially and academically [31]–[38]. Kitatoi’s resignment to “just passing by” and her lack ofconnectedness with the institution are worrisome. Seymour and Hewitt [39] and Marra et al.’s [40]work emphasized that women who leave STEM disciplines decide to switch into non-engineeringdegree programs due to feeling as though they didn’t
ateam. The MRP roles include the team and students, engineering expert(s), the client(s) andbusiness expert(s). There are strong evidences form the literature that including the soft skillssuch as management, entrepreneurship and leadership can boost the retention and enrollment inengineering programs. Entrepreneurship education has been found to boost GPA and retentionrates of the engineering students, provides the students with the skills and attitudes needed toinnovatively contribute to the existing organizations and pursue their own ventures, and has thepotential to address current and anticipated workforce demands. We strongly believe that byintegrating entrepreneurship into engineering courses, specifically in the ones that are
judgement, the instructors decided to allow studentswith appropriate prior experience/practice in land surveying also enroll in this course withoutmeeting the course prerequisite.Student Learning Outcomes: The objective of this course is to expose students to the fundamentalsof T-LiDAR and engage them in specialized activities involving this modern technique tosuccessfully complete 3D point-cloud models of real, service-learning projects. The course wasdesigned to attain the following four Student Learning Outcomes (SLOs): 1. Know the operation of laser-based scanner(s) to acquire spatial, color, and light intensity data. 2. Attain intermediate-level proficiency on the use of computer software to generate virtual 3D point-cloud models
? response describes their action(s) relevant to the situation Why? Any specific examples where you and task. used verbal communication to articulate an 3. Results - rate the degree to which the student's important point? Were you successful? response describes the results of their actions. Any specific examples where you used written communication to articulate and important point or communicate something important? Were you successful?3.2 Qualitative AnalysisToward understanding the ways in which student mock interview responses may have changedfrom pre to post, we conducted a qualitative analysis of the interview