traditionalteaching methods. The proposed VR teaching modules allow students 1) to experience the senseof being present in a virtual queuing system environment that is representative of a real-worldengineering situation, 2) to expand their natural perceptive abilities and authentic experience, and3) to eliminate the need to deal with any expensive equipment or risky environments to understandthe application of queuing theory. The purpose of the research is to investigate how well studentsgained conceptual knowledge of queuing theory using the developed VR teaching module.Queueing theory is defined as the mathematical study of waiting lines. In this study students wereprovided a conceptual queuing theory quiz after the VR teaching module, and then they
al., 2013; Abed-Elmdoust and Kerachian, 2012). They categorizedwaste in health care systems as follows. Table 1. Major healthcare waste streams Health care waste category Examples Wastes derived from normal inpatient wards, outpatient a) General wastes examination rooms, first aid areas, administration, cleaning services, kitchens, stores, and workshops. Potentially infectious wastes that require special management inside and outside the health care system
CurriculumAbstractSince 2013, the Industrial and Manufacturing Systems Engineering (IMSE) Department at IowaState University (ISU) has provided high-impact education experiences to as many as 35students/semester (~6% of its student body) through undergraduate research assistantships(URAs). These experiences support ISU’s strategic goal of ensuring that students receive anexceptional education, with sub-goals of improving the ISU Experience for underrepresentedstudents, increasing retention and graduation rates for all students, and growing the impact andscope of graduate programs [1], [2]. The number of students who can benefit from thisexperience in the IMSE Department has plateaued, however, because of faculty time constraints.To significantly increase the
Documents 1 Lisa A. Miller – Associate Teaching Professor, Department of Industrial and Systems Engineering, University of MinnesotaDaniel Emery – Assistant Director, Writing Across the Curriculum, University of Minnesota1. INTRODUCTIONThe collaborative nature of the engineering discipline is often translated to the classroom viagroup project work. The positive impact of project-based learning (PBL) has been welldocumented in the research literature and in previous ASEE proceedings, including successfulapplications as described in Yousaf et. al, 2010, and Figges and Vogt, 2017. Peer response tostudent writing and team-based learning are well established, evidence based practices thatimprove student learning (Cho and
3products. The students are given a 1-week period to play the game. The game simulates selectedinventory control strategies with reorder point and order quantity parameters for 12 months. Thelearning outcomes of the course related to inventory control, and students’ experience with thegame are surveyed. Survey results are statistically and visually analyzed. Overall results indicatedthat the proposed gamification approach is found to have positive impact in learning effectivenessin the majority of evaluation categories. In addition, the contribution of the proposed gamificationapproach was found to be effectively supporting the learning outcomes of the course.IntroductionUse of gamification in higher education has gained credible attention in the
World Report include Georgia Tech, Virginia Tech, PennState and Texas A&M.6Schools in the North East region of the US on ASEE’s 2015 “top 50” list of schoolsgranting the most undergraduate Industrial/Manufacturing/Systems degrees includeCornell University, Columbia University, University of Pittsburgh, Lehigh University,Northeastern University, Rensselaer Polytechnic Institute, State University of New York,Rutgers University and Rochester Institute of Technology. ASEE’s 2015 statistics arelisted below:Table 1:Industrial/Manufacturing/Systems Engineering Degrees Awarded by North EastSchools Rank School # Degrees Awarded 10
have a balanced lecture and lab sessions, which are specifically designed to addressthe needs of the term project as the semester continues. In the term project, groups of 2-3 studentswere asked to form a group, where each group was expected to work on a real system to 1)understand, conceptualize, and model the existing system as a mental, then software-model; 2)validate the existing system model statistically; 3) identify areas for improvement (in addition tothe ones given by the supervisor); 4) complete the project with testing out system improvementscenarios and conducting cost/benefit analysis. The effectiveness of project-based learning issurveyed and studied based on the course learning outcomes. The results indicated that theproposed
faceincreasingly complex endogenous and exogenous challenges affecting program accountabilitythat include technological changes, financial stability, and demographic shifts in studentpopulations. Entirely related is Buhrman’s discussion [1] on accountability that includesdocumenting formative and summative assessment techniques to evaluate instruction.Elizandro et. al. developed a vertically integrated approach to stakeholder engagement inregional university accountability [2] that originates from this proposed implementationstrategy for ABET accredited programs. However, the concept is easily extendable to allscience, technology, engineering, and mathematics (STEM) programs [3]. STEM programaccountability is critical because of the regional university
). The hybrid rule leads to only a small number of iterations and makes it possible to perform the column generation approach in an undergradu- ate class using Microsoft Excel. We perform a large scale computational experiment and show that the hybrid rule is effective.1 IntroductionA column generation approach performs the simplex method to solve a hugescale of linear programming problem which we call the master problem. Whilea general linear programming approach enumerates the reduced costs of thecolumns which measure the contribution of the columns toward the optimalsolution, the column generation approach keeps and updates only a small setof columns, which we call a basis, without enumerating the columns. Instead,the
government. According to the FederalAviation Administration (FAA), drones are currently not allowed to be flown for commercialdeliveries in the United States [1]. They have approved certain exceptions which have allowedcompanies to test drone delivery technology, and these tests have been successful. Once safetycan be established, companies will still have to determine how best to utilize drones, increasepayload and establish drone networks. The outlook for commercial delivery using drones doesappear to be bright and getting brighter every year. Figure 1: US Consumers of Perception, Source: United States Postal Service Public Perception of Drone Deliveries Report [2]With the rapid demise of snail mail and the explosive
global consumer demand. The study states that 84%of executives agree that there is a talent shortage in the U.S. manufacturing sector [1]. In 2015Florida Advanced Technological Education Center (FLATE) reported over 14,000 differentcompanies employ 355,000 individuals in the manufacturing fields in Florida. Thesemanufacturing firms suffer economic loss from the limited pool of the available skilled workersat technical levels [2]. According to the 2015-2016 Florida Statewide Demand Occupation List,the growth in manufacturing jobs continues to climb with a 7% increase in annual growth ofavailable jobs anticipated in manufacturing across the state. With rising concern about aninadequate workforce, the research team is working with industry partners
experiments.The laboratory design is discussed in detail, including how the collaboration of differing, butrelated, disciplines are integrated to take advantage of synergies and enhance the knowledgebase and skill sets of the related disciplines. Course outcomes, project cost, and future work arealso shared.KeywordsIndustrial Internet of Things, Remote Labs, Industry 4.0, Industrial EngineeringIntroductionAccording to a survey by Morgan Stanley-Automation World Industrial Automation, twentypercent of companies cite a lack of skilled workers as a significant challenge to IIoT adoption[1]. Hence, it has become imperative to properly equip the aspiring manufacturing employeeswith the appropriate knowledge, tools and equipment to function effectively in
tackle their fields through the rigorous educational trainingprovided by their universities. The education of engineers follows a structured curriculumconsisting of mathematics, physics, and core engineering courses. These courses provide skillsdeemed necessary for engineers. However, these skills might not cater to the requirement of thejob market. It is imperative to properly develop and teach the necessary skills for the workforceto each engineering student since a degree is no longer a guarantee of a good job [1]. Each ofthese students need to be prepared for what the industry may expect of their skillset [2]. It istherefore beneficial for students and universities to be aware of the skills required by the jobmarket.Several topics of
diverse teams lead to better conclusions for complex problems. Therehave been numerous studies, from a variety of contexts, which have studied this premise.Recently, an article described using a linearized maximally diverse grouping problemformulation to create diverse teams within University of Michigan’s Engineering GlobalLeadership Honors Program. Their results were implemented with minimal changes [1].Work in homogeneous teams (“Group of Same”) versus heterogeneous teams (“Group ofDifferent”) has shown that heterogeneous teams encounter more challenges as the diverseteammates learn how to work together; however, they often overcome their homogeneous teamcounterparts with better results [2, 3]. Extensive research by Ned Herrmann has evaluated
customer to get the fullest benefitfrom the goods”, Panchak [1]. A notable illustration of Drucker’s vision is the transformationundertaken by the Apple Corporation. Known some thirty years ago as the manufacturer of thevenerable Macintosh computer, this dominant market player is now known for its revolutionaryiPhone system: an exquisitely designed and manufactured piece of hardware, surrounded by avast array of services including telephony, web access, audio visual content, appointmentcalendar, health monitor, GPS, banking service, etc. These, in the words of Drucker, “enable thecustomer to get the fullest benefit from the goods”, and clearly, have led to tremendous profitmargins for Apple. Many other examples of bundling products and services
, and those thatare missing, in the problems that students solve, and are exhibited in the solutions they create.Then, we use the results to define a set of guidelines that would contribute to improve the realismof SDP’s, both in terms of their problem definition and of the evaluation and assessment ofstudents’ solutions.Introduction Research suggests that engineering education and practice are disconnected [1]. Inparticular, early career engineers believe that “engineering work is much more variable andcomplex than most engineering curricula convey” [2]. Successful engineering, in practice, isdriven by the skills necessary to solve open-ended, ill-structured problems, such as problemformulation, communication, people management
which this decrease can be of almost 4% and we find that this effect is more felt if a student has performed poorly in a midterm exam, i.e. it targets those to whom this policy is supposed to help. While in terms of equality this policy is usually extended to all the students, we conclude that its performance fails when it comes to assessing its equity. This is due to the effect of the so-called Simpson’s Paradox.Simpson’s Paradox in the literatureAlthough first properly introduced by Edward Simpson when working on contingency tables thatdid not show second-order interactions [1], Simpson’s Paradox (henceforth SP) has been knownand observed for more than a century. In short, this paradox represents the mathematicalphenomenon
of Washington. Her research is focused on the development of quantitative methodologies for the anal- ysis and sustainable management of sociotechnical systems, including supply networks and production systems. Her email address is caroline.krejci@uta.edu. c American Society for Engineering Education, 2018Industrial Engineering Outreach to the K-12 CommunityIntroductionDespite the ubiquity of industrial engineers in the workplace, the K-12 community is relativelyunaware of this engineering discipline. Previous research has demonstrated that the identity ofindustrial engineering (IE) is ambiguous, and many K-12 educators are unaware that such adiscipline even exists [1]. As a result, few high school
Carnegie Foundation [1], and we are a member of Ashoka's ChangemakerCampus Consortium [2]. From their first days on campus, students are told that they have thepotential to be changemakers who make the world better.Electrical engineering began in 1987, industrial engineering was added in 1996, and mechanicalengineering was added in 2003. In 2013 the Shiley-Marcos School of Engineering wasestablished. A general engineering program was created in 2016. A unique characteristic of allengineering degree programs is that they include the same liberal arts core required of allundergraduates. This results in 147 semester-unit engineering curricula that culminates in a dualBachelor of Science/Bachelor of Arts degree. Computer science is also housed in SMSE
paper. Reducing the grades for next trials isdone for two reasons: 1) to be fair with the students who master the concepts in the first trial, and2) to avoid the situation where some students would intentionally try the first and second trials toget an idea about the questions and then do the last trial knowing that their grade will not bereduced because of that.This study investigates the following question: Does mastery learning and assessment approachpositively impact students’ learning and outcomes compared to the conventional learning andassessment approach? The data analysis shows that the implementation of mastery learning andassessment approach (intervention group) has improved students’ performance in all examswhen compared to
professional communication, a way to develop and examine ideas,and a method to test learning. “A central tenet of writing across the curriculum and in thedisciplines, is that the use of writing goes far beyond improvement of students’ skills. Instead,writing is essential to learning and the process of development that higher education aims tofoster”[1]. Simply performing writing, however, does not guarantee higher-level student learning.In order for writing to have significant and lasting value to students, it must be perceived asmeaningful by the students performing it [2]. Meaningful writing has been shown to befundamental to identity formation across disciplines, a topic recently linked to issues of retentionand representation in engineering