systematic verification process.This paper focuses on explaining the Logical Model designed for simulation studies.Subsequently, it presents a list of common performance measures used for verification. The mainbody provides four examples demonstrating this verification approach. Appendix A, delvesdeeper into the motivation for the Logical Model by presenting an initial system analysis beforemodeling. Appendices B to F, contain supporting documentation for the model outputs andcalculations used in the four examples in the main body.A basic understanding of classical queuing theory and discrete-event simulation concepts isassumed for this paper.2. Logical ModelThe Logical Model concept was introduced in a discrete-event simulation course in spring
“I am” poem about a topic thatrelates to deterministic inventory modeling and is due after the discussion of the material iscomplete and before the first term exam is administered. Similarly, the third poem-writingassignment required students to create an “I am” poem about a topic that relates to stochasticinventory modeling and is due after the discussion of the material is complete and before thesecond term exam is administered. Please see Appendix B.1 for detailed instructions provided tothe students to complete the poem-writing assignments.Reflection assignments were required for students to revisit and share their experience of writingtheir technical poems within two weeks of submitting the assignment. The reflections wereformatted as
testing scenarios is imperative for future advances in this field.References[1] K. J. Jensen, J. F. Mirabelli, A. J. Kunze, T. E. Romanchek, and K. J. Cross, "Undergraduate student perceptions of stress and mental health in engineering culture," International Journal of STEM Education, vol. 10, no. 1, p. 30, 2023.[2] R. Hembree, "Correlates, causes, effects, and treatment of test anxiety," Review of educational research, vol. 58, no. 1, pp. 47-77, 1988.[3] M. Zeidner, "Test anxiety: The state of the art," 1998.[4] D. W. Putwain, "Test anxiety and GCSE performance: The effect of gender and socio‐ economic background," Educational Psychology in Practice, vol. 24, no. 4, pp. 319-334, 2008.[5] B. D
regarding their experience workingon their assigned projects.Referencesal Makmun, M. T., & Nuraeni, A. (2018). Community Projects to Enhance the Students’ English Learning Process of Access Class Site Surakarta, Indonesia. SHS Web of Conferences,Anwar, A. A., & Bahaj, A. (2003). Student project allocation using integer programming. IEEE Transactions on Education, 46(3), 359-367.Arantes do Amaral, J. A., & Lino dos Santos, R. J. R. (2018). Combining Project-Based Learning and Community-Based Research in a Research Methodology Course: The Lessons Learned. International Journal of Instruction, 11(1), 47-60.Bakar, N. I. A., Noordin, N., & Razali, A. B. (2019). Improving Oral Communicative Competence in
: 10.1002/(SICI)1098- 237X(199901)83:1.[2] R. Lloyd, “A Historical Review of Visualization in Human Cognition,” vol. 43, no. 1, pp. 45–56, 1995.[3] G. Duffy, S. Sorby, and B. Bowe, “An investigation of the role of spatial ability in representing and solving word problems among engineering students,” J. Eng. Educ., vol. 109, no. 3, pp. 424–442, Jul. 2020, doi: 10.1002/JEE.20349.[4] M. Kozhevnikov, M. A. Motes, and M. Hegarty, “Spatial Visualization in Physics Problem Solving,” Cogn. Sci., vol. 31, no. 4, pp. 549–579, Jul. 2007, doi: 10.1080/15326900701399897.[5] D. Bairaktarova, M. Reyes, N. Nassr, and D. T. Carlton, “Spatial skills development of engineering students: Identifying instructional tools to
applications (Day 8) (a) (b) (c) (d)Figure 1: Hands-on activity on (a) gauge R&R studies using representative aircraft part, (b) LeanSix Sigma applications in one of the UTEP’s laboratories, (c) different types of control chartsusing 3D printed rings, and (d) final presentation on the project for a real-world LMA use case.The overarching project objective of "Empowering Quality Excellence" is integrated throughoutthe boot camp. Students are continuously challenged to apply various quality tools to real-worldquality challenges presented during the program. These challenges include the use of controlcharts, Lean Six
.2017.11.003.[11] T. Herink, V. Bělohlav, T. Jirout, and Z. Bělohlav, “Opportunities of experiential education in chemical technology and engineering,” 2022, doi: 10.1016/j.ece.2022.08.003.[12] G. Sayeg-Sánchez, E. G. Avilés-Rabanales, and M. X. Rodríguez-Paz, “Use of Scrum in a Virtual Environment to Enhance Collaboration and Systemic Reasoning of Engineering Students,” Jul. 2021.[13] T. B. Taha and M. Salim, “JISA (Jurnal Informatika dan Sains) The Impact of Technology on Students’ Psychological and Educational Performance,” 2023.[14] M. Q. Memon, Y. Lu, A. R. Memon, A. Memon, P. Munshi, and S. F. A. Shah, “Does the Impact of Technology Sustain Students’ Satisfaction, Academic and Functional Performance: An
arranged in a grid, potentially resulting in a picker going farther out oftheir way to reach their goal than a straight-line path would allow, losing efficiency (seeFigure 2a). As a result, a major research topic is aisle layout optimization to provide moreefficient routing. An alternative is the fishbone layout which divides racks into three groupingzones with two diagonal aisles in a ”V” shape. This configuration allows for more direct routingfor a greater area of the warehouse than the traditional layout (see Figure 2b). (a) The layout of a traditional warehouse de- (b) The layout of a fishbone warehouse de- sign. sign. Figure 2: Two warehouse layouts used in this
Entrepreneurship into Engineering Design," International Journal of Process Education, vol. 11, no. 1, 2020.[9] J. Park, L. Bosman and B. .. Kotla, "Reading Between the Data Points: Analysis of the VSFS Internship Recruitment Process and Its Implications for Engineering Student Applicants," in 2022 ASEE Annual Conference & Exposition, Minneapolis, 2022.[10] M. Y. Hassan, A. O. Shuriye and A.-H. Abdallah, "Integrating Entrepreneurship into Engineering Education," International Journal of u- and e- Service, Science and Technology, vol. 10, no. 2, pp. 45-52, 2017.[11] S. Karimi, M. Chizari, H. J. A. Biemans and M. Mulder, "Entrepreneurship Education in Iranian Higher Education: The Current State and Challenges," European Journal of
problem communication with a team tasked with a technicalproject to predict energy loss due to icing events for a client (“Client B”) in the renewable energyindustry. The team developed a sophisticated solution, but in the midterm report IE instructorsstruggled to assess its applicability and rationale because it was unclear why the team’s modelseemed to only take wind speed into account, and not temperature or dew point. [Midterm submission] Our client, [Client B], analyzes weather-related risks for investors at new or existing solar or wind farms (terrains with many solar panels/turbines). The company is currently unable to quantify the isolated effect of icing events on energy loss. A tool to do so would greatly improve
. Table 2 lists the instruction plan for week 3, including the topics to be covered,the activities that students complete in-class and after class, and the instructor’s role. Additionalinformation on each topic is listed in Appendix B. Please note that students’ responses can be collectedeither via a clicker, live via an online survey, by choosing to speak out in the class or by any other methodthat the instructor sees fit.Table 2: Week 3 Plan Topic Activity Instructor’s role Team forming phases: each Instruct students to share their Discuss with students their team passes by five insight on which phase they responses and
Plots of Interest Epistemic Curiosity items where (a) I enjoyexploring new ideas. (b) I enjoy learning about subjects that are unfamiliar to me (c) I find itfascinating to learn new information. I find it fascinating to learn new information. (d) When Ilearn something new, I would like to find out more about it.(e)I enjoy discussing abstractconcepts.Figure 3: Box and Whisker Plots of Deprivation Epistemic Curiosity items where (a) Difficultconceptual problems can keep me awake all night thinking about solutions. (b) I can spend hourson a single problem because I just can’t rest without knowing the answer.(c) I feel frustrated if Ican’t figure out the solution to a problem, so I work even harder to solve it.(d) I brood for a longtime in an
author.Client FeedbackIn January, the company Vice President of Operations responded to the instructor with anextremely positive response. He stated that after going through the reports, the level of detail andthe quality of the recommendations exceeded his expectations. He thanked the instructor forchoosing to work with Quantum BioPower for this project. In addition, he expressed an interestin learning how they may work with QU in the future to continue to refine their process in theirde-packaging building.Student Feedback and PerformanceDuring the three course assignments, there were numerous positive comments from thestudents. A sample student response for each relevant assignment prompt is displayed inAppendix B. It should be noted that there was
provides an element that cannot besimulated in lectures and homework assignments. Projects must be actionable, messy, andmeaningful to really provide learning. The course template shown in the paper would serve is amethod that other professors teaching a project management course could adopt.References:[1] B. Van der Horn and C Killen, “Stop sanitizing project management education: EmbracingDesirable Difficulties to enhance practice-relevant online learning,” Project Leadership andSociety, 2021.[2] U.S. Department of Education, National Center for Education Statistics, Earned DegreesConferred, 1949-50 and 1959-60 through 1969-70; Higher Education General InformationSurvey (HEGIS), "Degrees and Other Formal Awards Conferred" surveys, 1970-71
aftergrabbing the build material, Task 19 - inserting the build material into the printer, and Task 15 -inserting the powder into the printer. For the basic interactions with the help tablet for instructionmaterials and for navigation in VR, participants were struggling with operating the help tabletand teleporting instead of walking to a specific station. Figure 5. Gaze heat map data of task category (a) teleport without carrying (b) teleport with carrying (c) grabbing objects (d) moving objects (e) selection of choicesDiscussionsAnalyzing several data sets, including surveys, user gaze behavior, and video recordings,obtained a comprehensive understanding of the user experience in virtual reality. A Paretoanalysis shown
, including complementary skills, are provided in the KEENFramework [18].Five course modules were developed using EML. The details of the module topics, learningobjectives, methods, and outcomes for each module are presented in the Appendix. In the firstfew modules, the focus was more on problem-solving and risk assessment methods at the micro-level in work systems, and towards the end of the term, the topics shifted more to problem-solving methods at the macro-level. The course’s first two learning objectives (linked tolearning materials in Modules A and B) directed students toward the third learning objective(learning materials in Modules C, D, and E). The first two learning objectives prepare students todevelop the necessary skills for analyzing
Paper ID #43463Methodology to implement project-based learning (PBL) within the contextof Operations Management.Dr. Mahesh Kumar Pallikonda, Austin Peay State University Dr. Mahesh Kumar Pallikonda is a faculty member in the Department of Engineering technology at Austin Peay State University (APSU). Prior to his academic career, he gained valuable industry experience in roles ranging from New Product Development to Process Control. He holds a Ph.D. and a Master’s degree in Mechanical Engineering from Cleveland State University, as well as a Bachelor’s degree in Manufacturing Engineering from the National Institute of
Paper ID #42370Training Teachers to Employ Design and Analysis of Computer Experimentsfor Research on Sustainable Building DesignMrs. Laura Thomason, Mansfield ISD/The University of Texas at Arlington Long time middle school teacher who is still on a quest to continue in my personal education. I participated in the RET project with UTA last summer and while I learned so much, the experience allowed me to impact my classroom teaching. Currently, I teach at Jerry Knight STEM Academy in Mansfield, TX. I get to teach advanced 6th, 7th, and 8th graders in multiple STEM electives.Prof. Victoria C. P. Chen, The University of Texas
Paper ID #42813Awareness of Feature Importance in Artificial Intelligence AlgorithmsDr. Ebisa Wollega, Colorado State University, Pueblo Ebisa Wollega, Ph.D., is an Associate Professor of Engineering at Colorado State University Pueblo. His research interests include applied artificial intelligence, large-scale optimization, and engineering education.Melissa BraddockDr. Lisa Bosman, Purdue University, West Lafayette Dr. Bosman holds a PhD in Industrial Engineering. Her engineering education research interests include entrepreneurially minded learning, energy education, interdisciplinary education, and faculty professional
of Kentucky. During this time he also supported the implementation of standardization, systematic problem solving, and lean model area development within various manufacturing organizations. Before joining the University of Kentucky, he worked in heavy equipment manufacturing where he assisted in the development and implementation of lean production systems within two manufacturing facilities. At these sites, he was responsible for developing production layouts to support continuous flow throughout operations. David holds three engineering degrees, a Bachelor of Science in Mechanical Engineering, Masters of Science in Manufacturing Systems Engineering, and a Ph.D. in Mechanical Engineering from the University of