designed to prepare a workforce to fill the IIoT skills gap.Central to this education network infrastructure is a remotely accessible Converged Plant-wideEthernet/IP (CPwE) hands-on lab environment that provides synchronous access to IIoTlaboratory experiences.This paper details an interdisciplinary project involving the design, development, andimplementation of a remotely accessible lab environment that integrates enterprise IT withindustrial automation and control systems (IACS) into a fully functional CPwE manufacturinginfrastructure. The CPwE laboratory environment provides a platform for students and facultyfrom ECU and regional community colleges and high schools to develop critical IIoT skillsthrough collaborative hands-on lab
processesinvolved in the production of a range of components included in these products map quite wellwith the manufacturing capabilities of our laboratories; students are therefore able to undertakethe subsequent prototyping of some of these components.The class includes four (4) laboratory sections of 20 students each. Within each Laboratorysection, students were free to assemble into five (5) groups of four (4) students each. Theproducts included two (2) power washers (one gas powered and the other with an electric motor)and two (2) sets of battery-driven hand power tools. Products were randomly assigned to eachsection during each section’s assigned Laboratory meeting time. The objective of this classexercise was twofold. First, it allows students to
such as microbiological laboratory wastes (blood and b) Infectious wastes blood containers, Serologic wastes, etc.), discarded surgery wastes, and air filters that contain bacteria and viruses. Tissues, organs, and fluids removed during surgery or c) Pathological wastes autopsy medical procedure. d) Sharp wastes Needles, syringes, blood vials, etc. e) Wastes with high content of heavy Batteries, broken thermometers, blood-pressure gauges
. Rubio-Herrero worked at Pacific Northwest National Laboratory, where he applied optimization and machine learning techniques to a diverse array of areas such as national security, deep learning, and energy. He also has experience in industry (in the context of supply chain and manufacturing) and in the public sector, where he was part of the Transport and Energy unit at the Institute for Prospective Technological Studies. Dr. Rubio-Herrero has published articles in journals and conference proceedings, and serves as an active reviewer in peer-reviewed publications. His research interests deal with the applications of optimization and operations research techniques to solve engineering problems
/nasatlx.html. R (version 3.3.1) was used to conduct thedata analysis for the study with the integrated development environment RStudios. R is a statisticalcomputer environment and language that was developed by Bell Laboratories. It provides a largevariety of statistical and graphical capabilities and is an open sources product [14].Results and Data AnalysisThe quiz scores are shown in Table 1 and Figure 8 Table 1: Quiz Score Statistics Quiz Scores Statistics Min. 1st Qu. Median Mean 3rd Qu Max Analytical .20 .40 .60 .6043 .80 1 Conceptual .27 .60
effectiveness. Closed-loop implies performance data is compared to a referencevalue and depending on the magnitude of the difference, the implementation strategy for theacademic program is modified.SPK functional areas derived from the following ABET General Criteria [12] are: 1. Students: Ensure students are academically prepared and scheduled to be in the right place in the program at the right time. 5. Curriculum: Ensures an integrated set of courses and laboratory experiences from the discipline BOK to develop knowledge, skills, and behaviors of students and satisfies accreditation and university requirements.Extra-Curricular, also an SPK Functional Area, consists of non-curriculum related programactivities that also develop knowledge
multiple projects in education data mining, some in collaboration with the Dean of Engineering. His research interests include healthcare and education data mining.Ms. Elnaz Douzali, University of Illinois, Chicago To be added.Dr. Peter C. Nelson, University of Illinois, Chicago Peter Nelson was appointed Dean of the University of Illinois at Chicago’s (UIC) College of Engineering in 2008. Prior to assuming his deanship, Professor Nelson was head of the UIC Department of Computer Science. In 1991, Professor Nelson founded UIC’s Artificial Intelligence Laboratory, which specializes in applied intelligence systems projects in fields such as transportation, manufacturing, bioinformatics and e-mail spam
shouldbe used to provide different questions for different students to reduce answers sharing betweenthe students. With the advances of technology and digital media, the course could be student-paced. The instructor can provide lectures in video format. Students can visit and revisit thesevideo as many times as they want and whenever and wherever they want.References[1] Guskey, T. R. (2005). Formative Classroom Assessment and Benjamin S. Bloom: Theory, Research and Implications. In the Annual Meeting of American Educational Research Association, Montreal, Canada.[2] Bloom, B. S., Hastings, J. T., and Madaus, G. F. (1973). Learning for Mastery. National Laboratory for Higher Education.[3] Bloom, B. S., and Carroll, J. B. (1971). Mastery
connection between laboratory research and classroom lectures, enabling students to see anduse the course material in action. While not a CURE, instructors at Montana State University andNortheastern University implemented similarly hands-on, experiential learning exercises in anintroductory industrial engineering course. They found that students physically working withproblems and seeing how real systems operated were more compelling than traditional teachingpedagogies; students even seemed more enthusiastic about industrial engineering [21]. Manyothers have reported CURE benefits, including networking and developing scientific skills, aswell as outcomes like increased teamwork, critical thinking, communication skills, andconfidence [14].Because
Ingenieros sin Fronteras Colombia since 2012, and he had worked on several engineering projects with social impact. In addition, he has collaborated with researchers of the Laboratory of Cognition at Universidad de los Andes, particularly in decision-making processes and teamwork. He is co-founder of INTERACT, a research group on complex adaptive systems and social network analysis. c American Society for Engineering Education, 2018 Introducing Changemaking Engineering into an Operations Research Course: Some Unexpected ResultsAbstractWith funding from a National Science Foundation (NSF) IUSE/PFE REvolutionizingengineering and computer science Departments (RED) grant, the Shiley