2010. He is the director of the Sustainable Infrastructure Development, Smart Innovation and Resilient Engineering Research Lab at Morgan State UniversityNeda Bazyar Shourabi, Pennsylvania State University, Berks CampusAyodeji B. Wemida Ayodeji Wemida is a Masterˆa C™s student at Morgan State University. He received his Bachelor’s degree in Electrical Engineering with a focus on cybersecurity in 2018. As part of his commitment to learning and excellence, he has served as a tutor both on aDr. Mulugeta T Dugda, Morgan State UniversityDr. Jumoke ’Kemi’ Ladeji-Osias, Morgan State University Dr. J. ’Kemi Ladeji-Osias is Professor in the School of Engineering at Morgan State University in Balti- more. She is a rotating
. Ghaffari, and R.-C. Mihailescu, “An Optimization Model for Group Formation in Project-based Learning,” Proceedings of the Annual Hawaii International Conference on System Sciences, 2020, doi: https://doi.org/10.24251/hicss.2020.009.[14] D. Lambić, B. Lazović, A. Djenić, and M. Marić, “A novel metaheuristic approach for collaborative learning group formation,” Journal of Computer Assisted Learning, vol. 34, no. 6, pp. 907–916, Aug. 2018, doi: https://doi.org/10.1111/jcal.12299.[15] F. S. Hillier and G. J. Lieberman, Introduction to operations research. New York, Ny: Mcgraw-Hill, 2021, pp. 339-340.
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
. Educ., no. September 1992, 1993.[2] L. Harvey and J. Newton, “Transforming Quality Evaluation : Moving On,” in Quality Assurance in Higher Education: Trends in Regulation, Translation and Transformation, M. J. (Eds. ). Westerheijden, D. F., Stensaker, B., & Rosa, Ed. Springer, 2007, pp. 225– 245.[3] P. J. Gray, A. Patil, and G. Codner, “Engineering Education Quality Assurance: A Global Perspective,” in Engineering Education Quality Assurance. A Global Perspective, A. S. Patil and P. J. Gray, Eds. Springer, 2009, pp. 3–28.[4] C. S. Nair, A. Patil, and P. Mertova, “Enhancing the quality of engineering education by utilising student feedback: Quality and the engineering student experience: An
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
alternative design ideas as shown in Figure 4a andb. According to the team, they saw “merit in both designs and decided to move forward with CADdesigns for both. However, problems risen when attempting to model Design 1 led them to selectDesign 2, which had significantly fewer problems in creating a functional SolidWorks model. Themain criteria shaping their decision process were: ease of design given the time constraints andneed for parts outside of what was designed. Design 1 would require a spring to be bought, whichthey would have to calculate its specifications while Design 2 only required a handful of pins,which were made by the team for the prototype.” Figure 4a. Alternative Design 1 b. Alternative Design 2Figure 5a and b
: 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
formative The competency assessment method was created in four stages: a) Selection ofcompetency assessment subjects; b) Development of rubrics; c) Definition of methods andtools for applying the rubrics; and d) Structured communication of competency assessmentresults.a) Selection of courses for competency assessment The courses to evaluate and monitor competencies throughout the program were chosenbased on their contribution to the competencies in the graduates' profile [3]. Based on theresults of Demore et al. [23] and subsequent curricular updating of the UndergraduateProgram's Pedagogical Project in 2021 [24] the courses with the biggest contribution todevelopment of student’s competencies were selected [23]. This definition followed
.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
high tolerance ofambiguity (a) seek out ambiguity, (b) enjoy ambiguity, and (c) excel in the performance ofambiguous tasks.” It is this latter definition that is used for this research as it describes a skill ormindset that today’s engineering graduates must possess in order to solve the problems they willincreasingly face and must be prepared to solve—problems that are complex, fraught withuncertainty, and given to conflicting interpretations by varying components.“Wicked Problems” Introduce AmbiguityTo better situate the project in the literature and to more explicitly define the nature of suitableproblems for our research intervention, wicked problems—as defined in the literature—will beused.Wicked problems, as described by Farrell and
–768, Aug. 2007, doi: 10.1016/j.ssci.2006.07.010.[10] S. Winter, N. Berente, J. Howison, and B. Butler, “Beyond the organizational ‘container’: Conceptualizing 21st century sociotechnical work,” Inf. Organ., vol. 24, no. 4, pp. 250– 269, Oct. 2014, doi: 10.1016/j.infoandorg.2014.10.003.[11] E. A. Erichsen, L. DeLorme, R. Connelley, C. Okurut-Ibore, L. McNamara, and O. Aljohani, “Sociotechnical Systems Approach: An Internal Assessment of a Blended Doctoral Program,” J. Contin. High. Educ., vol. 61, no. 1, pp. 23–34, Jan. 2013, doi: 10.1080/07377363.2013.758553.[12] T. Herrmann, “Learning and Teaching in Socio-technical Environments,” in Informatics and the Digital Society, vol. 116, T. J. van Weert and R. K. Munro, Eds
completing the course, students are eligible to take the examoffered by SAVE International to be certified as a Value Methodology Associates (VMA). Learning OutcomesThis course is expected to provide students with exposure to the spectrum of ABET defined outcomes: a. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors, b. an ability to communicate effectively with a range of audiences, c. an ability to recognize professional responsibilities in engineering situations and make informed judgments, which consider the impact of engineering
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
improve the production line. For more informa- tion regarding the implementation of Kaizen needs, refer to [26]. In addition, Small Group Activities (SGA) is used for the Kaizen events. SGA, also known as contin- uous improvement or “Quality Circles” in the Japanese industry, is a method for problem-solving in teams by structurally searching for the root causes and eliminat- ing them [27]. A detailed work showing two SGAs and the PDCA cycle is presented in [28] with the main objective of reducing the scrap on a production line. (a) Before Kaizen (b) After Kaizen Figure 5: Kaizen event example 8. Second partial presentation: Similarly, the
. 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
DesignIn this module, students are exposed to the structured steps in the product design process [9].These steps include (a) customer needs identification, (b) generating target product specificationswith measurable metrics and how to translate customer needs into engineering specifications, (c)how to then systematically generate concepts using concept generation and ideation techniquessuch as external searches including benchmarking, patent searches, talking with experts, andinternal search methods including creative brainstorming and ideation, and concept sketching;(d) how to generate alternative concepts for their sketches and how to relate them to targetproduct specifications; (e) how to systematically rate and rank concepts and select
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
whichparticipants utilized various resources to create their poems.Table 8. Resources used by participants for the creation of (a) Poem 2 and (b) Poem 3. Resource Lecture Slide Class Personal On-line Other Not Total notes decks discussion note research specified Section 1 10 27 11 7 12 3 1 71Poem Section 2 6 15 6 6 4 37 2 Class total 16 42
, adapting the methodology to the students’ preferences andmeasuring its impact in the development of competences related to Six Sigma.AcknowledgementThe authors would like to acknowledge the financial support of Writing Lab, Institute for theFuture of Education, Tecnologico de Monterrey, Mexico, in the production of this work.References[1] R. A. Munro, G. Ramu, and D. J. Zrymiak, The Certified Six Sigma Green Belt Handbook, 2nd edition. 2015.[2] ASQ, “Save Your Company a Fortune,” ASQ Six Sigma Business Solutions, 2009.[3] M. Kharub, B. Ruchitha, S. Hariharan, and N. Shanmukha Vamsi, “Profit enhancement for small, medium scale enterprises using Lean Six Sigma,” Mater Today Proc, vol. 56, pp. 2591–2595, Jan. 2022, doi: 10.1016
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
teaching simulations for many clients in several industries.Dr. Erica Gralla Erica Gralla is an Assistant Professor at George Washington University in the Department of Engineer- ing Management and Systems Engineering. She completed her Ph.D. at the Massachusetts Institute of Technology in the Engineering Systems Division, and her B ©American Society for Engineering Education, 2023 Experiential Learning in Virtual Realities Hugh L. McManus, Northeastern University, and Erica Gralla, George Washington UniversityAbstractImmersive simulations are powerful teaching tools, particularly useful for subjects where aholistic understanding of a complex
Paper ID #38846Teaching Strategies in Industrial Engineering Programs in Brazil:Benchmarking in North American UniversitiesLaura Visintainer LermanMr. Italo Rodeghiero Neto, Universidade Federal Do Rio Grande Do Sul PhD candidate in Industrial Engineering from the Federal University of Rio Grande do Sul (UFRGS), Brazil. Master of Industrial Engineering from UFRGS (2020). His research mainly spans engineering education, ergonomics, human factors, and accessibility.Joana Siqueira de Souza, Universidade Federal Do Rio Grande Do SulDr. Maria Auxiliadora Cannarozzo Tinoco, Universidade Federal Do Rio Grande Do Sul Maria A. Cannarozzo
(CSPG.Y.1.3.1-5, Analytics (Two A full day or over a Classification, 1.7.2), Arkansas Teachers) week “data Engineering design Algebra 1 Standards bootcamp” (HSS.ID.B.6 22, A.1- A.3 22, B.5 22) Figure 5. Frequency Cloud for Lesson Plans Developed by 2021 RET ParticipantsWe combined all lesson plans and built a word cloud to show commonality among developedplans. Not surprisingly, “data” and “students” are the two most frequently appearing words in thelesson plans. Other words shown also demonstrate different