AC 2012-5126: AN EXERCISE FOR IMPROVING THE MODELING ABIL-ITIES OF STUDENTS IN AN OPERATIONS RESEARCH COURSEDr. Leonardo Bedoya-Valencia, Colorado State University, Pueblo Leonardo Bedoya-Valencia is an Assistant Professor at the Department of Engineering at Colorado State University, Pueblo. He received his M.Sc. in system engineering and his Ph.D. in engineering manage- ment from the National University of Colombia and Old Dominion University, Norfolk, Va, respectively. His research interests include scheduling, operations research, and modeling and simulation in health care and energy planning. He has participated in several funded projects through various sources such as NASA, the Department of Homeland Security
conceptual discussions.Problem definitionTo overcome that deficiency, to improve teaching, and enhance learning of students, instructorshave over time developed novel and innovative concepts [7] that include, but are not limited, to: 1. Course projects Page 25.231.2 2. Software assignments 3. Journal reading and research 4. Online help, class handouts, and other ancillary materials.However, most of such efforts rely on instructor’s experience and his/ her desire and initiative toimprove teaching skills. Since many OR instructors are not familiar enough with the vastresources available in the area of student learning, they usually do not
Besides principles of good practice in multi-media design16,17, a number of importantcriteria were considered in the development of the review modules. Specifically,≠ Where appropriate, modules should consider a variety of learning styles≠ Review modules should primarily be focused at knowledge (Foundational) level on the Steps for Better Thinking model (see Figure 2).≠ Review modules should be relatively short and should provide opportunities for exploration of applications related to the topic.≠ Embedded online interactive exercises should be self-correcting.≠ Navigation through review modules should be student-controlled.≠ All materials developed should be suitable for incorporation with a classroom project or as a stand-alone review
desktop is then shared and made visible to the hybrid students via a Page 23.1176.6projector/screen and visible to the online students through Wimba. Any documents,PowerPoints, or other web sites accessed are readily viewed by all students. The archivecapability within Wimba captures and records both the visual and audio portions of the lecturefor later viewing or reviewing.This technical setting, thanks to the support of our IT department, distance learning, and ourinstructional design group, allowed a joint membership of both sets of students into oneconverged learning environment. Many times discussions or project presentations take
apositive impact on the students’ motivation, engineering identity, and knowledge gain over thelong run and when used across the curriculum. Moreover, IE instructors interested in providingan immersive and integrative learning experience to their students could leverage the VRlearning modules developed for this project.1. IntroductionLike the majority of engineering curricula, the structure of the Industrial Engineering (IE)curriculum consists of a set of courses that are ordered in a sequence such that later courses buildupon the knowledge learned in the earlier courses, with each course usually being taught by adifferent instructor 1. This traditional course-centric curriculum structure has limited ability toestablish the connection between
, Mississippi State University Emily Wall is a summa cum laude Industrial and Systems Engineering 2015 graduate of Mississippi State University, and a 2012 graduate of Itawamba Community College. After college, she accepted a position as a Research Engineer at Mississippi State University’s Institute for Systems Engineering Research, located in Vicksburg, MS, on the campus of the Engineering Research and Development Center. While at ISER, her research areas include lean six sigma practices and applications, manufacturability, virtual reality applications and Mississippi economic improvement projects. She is a certified Six Sigma Black Belt and is a graduate student at Mississippi State University pursuing her doctorate in
(with a Log link function), Multinomial (with a Cumulative Logit link function),Inverse Gaussian (with a Power of -2 link function), and Gamma (with a Power of -1 linkfunction). The settings and link functions considered were all default selections of SAS version9.4 (m3). The various regression model techniques were compared using the AkaikeInformation Criterion12 (AIC), AICc, and the Bayesian Information Criterion (BIC). For thepurposes of this project, the authors considered statistical significance at the α = 0.05 level. AIC,AICc, and BIC were used as the comparisons for goodness of fit between the models created,rather than R2 and Adjusted R2, because techniques for calculating R2 and Adjusted R2 regardinggoodness of fit for some nonlinear
” published in Spanish; he has published papers related to teaching strategies, supply chain frameworks and educational challenges in several conference and journals.Cesia de la Garza Garza Cesia L. De-La-Garza-Garza is Teaching Assistant in the Industrial and Systems Engineering Department at the Tecnologico de Monterrey, Campus Monterrey. She received her B. Sc. on Industrial and Systems Engineering from the Tecnologico de Monterrey (Monterrey, Mexico). She has participated as Junior Consultant in projects related to productivity, process modeling, lean manufacturing implementations and strategic planning. She has presented several works in the Industrial and Systems Engineering Research Conference related to
students).After the arrangement of these features twelve types of homogeneous groups were formed: • Public Spanish high school, • Transfer, • Private English high school • Private high school • Rural high school • Pre-basic • Academic difficulties, • Graduate in five years, • Coop, • Private English freshmen, • Public Spanish freshmen, and • Pre-basic freshmen.Fifty five students participated in this project. Twenty three were females and twenty two males,all of them were undergraduate students ranging from the freshmen to the fifth-plus year.Students’ were asked to complete a questionnaire regarding demographic and high school relatedfactors, such as the type of high school they attended, the language of instruction (English orSpanish or
projects.12After all of this, the United States has effectively resisted metrication. The scientific community, Page 24.197.4competitive export industries, and some federal government agencies have adopted the SIsystem. However, the general American public, domestic industries, construction andmaintenance trades, and other sectors of the American economy either do not use SI, or onlypartially use SI. The de facto condition is a blended system that has been remarkably resistantand yet allowed businesses of the United States to be vibrant and competitive in internationaltrade.customer focusAs engineering educators, we need to be aware of the
, that bench-top lathes can be considered as viable alternatives totheir industrial sized cousins. Similarly, an analysis of the responses from faculty and industrysuggest that bench-top lathes are a viable alternative to larger industrial lathes. Bench-top lathes,because of their size, have limitations, such as reduced capacity and less rigidity, therebyrestricting the size materials that can be produced by these lathes. However, because of materialcosts, it may be more appropriate for students to work on smaller projects in educational settings.Finding ways to continue to educate students using effective pedagogical practices and preparingthem for various field of work may require some creative thinking in a time of fiscal
of their junioryear. The journal can serve as physical evidence that the student can use to keep track of all theactivities, document the history, write notes, and revisit whenever needed. It is also a way to seethe linkage between the courses [39].3.4 Future PlanThe plan of this project is to assess the impact of i) using VR technology to teach IE conceptsand ii) using VR teaching modules to integrate the IE curriculum. The assessment involves twocohorts: control and intervention groups. The authors are currently collecting data for the controlgroup. Once the VR module is fully developed, relevant data will be collected and analyzed withrespect to the control group. The assessment instruments involve self-report surveys andknowledge tests
and a B.S. in industrial engineer- ing from West Virginia University. Componation works in product and system development with primary research interests in project and systems management, decision theory, and engineering economics. He has managed and supported research efforts with DOD, NASA, and numerous defense and aerospace in- dustries. He a member of the Institute of Industrial Engineers (IIE), the International Council on Systems Engineering (INCOSE), the American Society for Engineering Education (ASEE), and a Fellow with the American Society of Engineering Management (ASEM). Page 25.923.1