an extension of a previous study by the authors on the useof WebGL-based interactive graphics technologies in realization of an immersive virtual realityplatform for hands-on laboratory instruction in distance engineering education. In this paper, theauthors’ previous work on creating immersive worlds for simulating industrial automationsystems will be expanded to include real-time interaction by students through control andprogramming of the simulated automation systems via the Arduino computing platform.The proposed system aims at enhancing the students’ interaction with the laboratory equipmentthrough VR simulations, and apply their design and programming skills in real-time. While usingthe system, the students develop programs for
centricapplications. However, today, we can now use the Internet to enable sophisticated electroniccontrol applications that were not previously possible.This new paradigm of Internet uses, machines talking to machines or M2M, will further changesociety in ways that we can only begin to speculate at this point in time. Futuristic applicationslike autonomous vehicles are now within the realm of reality, as are smart cities, smartagriculture, e-healthcare, and the list goes on. Novel IoT applications can be used to implementwide-spread and/or geographically large or small cyber-physical systems that link the physicalworld with the cyber-world. These cyber-physical control systems have the ability to controlcomplex electronic based systems in real time through
. Industrialcollaborators have been selected as experts and will be heavily involved in developing andimplementing each of the EL components. The methodology of developing EL modules willfollow a framework involving the integration of evidence-based pedagogical approaches andKolb’s theory, to be validated through this project and adopted by other institutions.Introduction and BackgroundTeaching and learning in the fields of science, technology, engineering, and mathematics(STEM) traditionally employ conventional methods such as classroom lectures, laboratoryworks, and internships (not necessarily a requirement for graduation). Many students in aclassroom have difficulty comprehending and relating the contents of classroom lectures to real-world applications. This
libraries. In the firstpart, the laptop camera is used to recognize the underlying common object, and in the second Proceedings of the 2023 Conference for Industry and Education Collaboration Copyright ©2023, American Society for Engineering Education ETD 415part, the ML model is implemented on Raspberry Pi to direct a robot arm to pick and separateidentified objects from the collection pool.Machine LearningMachine learning has placed the world in an important avenue. ML and computer vision makedreamed applications into reality; for example, driverless cars, virtual assistants, videosurveillance, fraud detection, search
connectivity and thermocouples, remote connectivityfor temperature reading is possible using FS.Net™ software. In addition, historic production datacan be accessed from the Factory Systems server that can be displayed in the classroom.Smart Manufacturing and Smart Manufacturing PrinciplesSmart Manufacturing, also called Intelligent Manufacturing [1], Smart Factory [1] or Industry4.0 [3], “describes the convergence of the virtual and real world” [1]. In other words, describesthe convergence of the information technology (IT) and the operational Technology (OT).Wilkins [4] wrote in his National Institute of Standards and Technologies (NIST) blog aboutSmart Manufacturing “is the convergence of OT and IT working together in a real timeintegrated fashion
. Another advantage of adopting the LinMot isthe very low carbon footprint which will be greatly reduced compared to other types of actuators.Additionally, they offer more design freedom for manufacturing processes and productionmonitoring systems [1]. Some applications of LinMot actuators are packaging machines,assembly & handling systems, food production, semiconductor production, electronics, andCD/DVD production. Examples of LinMot actuators in real-world applications are shown infFigure 2. Furthermore, LinMot electromagnetic linear actuators provide better flexibility in thedesign of production processes and production monitoring systems. ETD 365
outcomes and links more closely with employability [16].”1.2 Best Practices1.2.1 Project Baseline learning. More studies suggest the need for collaboration betweenacademia and industry, specifically using project based learning (PBL) where the curriculumallows students to apply their knowledge in industrial settings [17]. PBL is a pedagogical methodwhich places students at the core of the classroom experience believing students obtain greaterknowledge solving real world problems. While we agree, real-world projects may not be feasiblefor class sizes of 75+ students. Furthermore, when large numbers of the students areinternational, the number of project options may be limited by industry. Proceedings of the 2023 Conference for
, especially in thefield of industry 4.0, but it has been applied also to other industry fields such as healthcare andconstruction [1-3]. The concept expresses the blending of virtual and real worlds to predictsystems behaviors based on data driven virtual products and verification [1], [4]. Programming isan important part of the digital twin concept [5].In fact, programming has becoming more relevant in our lives as we live in an immersive digitalage and is often associated to algorithmic thinking, which is not only a skill related to computersbut becomes something more general that can be applied to other fields [6], [7].Often, the class curriculum stays behind, despite different initiatives are suggested forimplementation such as the USA initiative
examined in detail, and rationale of their inclusion into the ethics discussion. Furthermore, Proceedings of the 2023 Conference for Industry and Education Collaboration Copyright ©2023, American Society for Engineering Education ETD 445this paper details UPJ’s creative approaches to teaching ethics, in concert with ABETrequirements, and preparing students for the real-world experience.UPJ’s creative and unique approach teaching ethics to meet ABET requirements include thefollowing pillars:1. Use a comprehensive spectrum of required courses, throughout the students’ eight semesters at the university.2. Address each
students towards real-world applications (i.e., case Proceedings of the 2023 Conference for Industry and Education Collaboration Copyright ©2023, American Society for Engineering Education ETD 455studies) that have big social-economic impact and motivate them to move towards higher levelsof learning according to Bloom’s Taxonomy (Bloom 1956) and form life-long learning mindset.Nowadays more and more students in IHEs are classified as “non-traditional” — those who arenot entering university right after their high school graduation and needing to work part- or full-time job(s) to pay for their higher education. Most of the
problems. 3. Modeling. Students will be able to construct valid mathematical models for engineering applications. 4. Visualization. Students will be able to use visualization skills to assist with problem- solving and modeling. 5. Communication. Students will be able to clearly articulate ideas orally and in writing.This article seeks to help address several of the issues above with a new course “Applied Math inET” offered by the ET Department at the University of Houston in 2023. Applied Math is notsimply the application of mathematics to solve “real world” problems. A more effectivepedagogical perspective lies in the presentation of the material starting with a science orengineering problem definition followed by mathematical
of Kentucky.Dr. Uddin is a proponent of project-based learning and developed innovative teaching strategies to engage hisstudents in solving real-world problems and prepare them with skills and knowledge that industry requires. Hiscurrent research interest focuses on risk-based estimation, quality assurance and optimization in construction,sustainable design and construction, and applications of machine learning and AI in construction. Dr. Uddin is activewith ASEE and served as ETD program chair for CIEC and ASEE. Dr. Uddin also served as the Editor-in-Chief forJournal of Engineering Technology from 2019 to 2021. He is the recipient of the 2023 the Peter G. Hoadley Awardfor Outstanding Engineering Educator of the ASCE.KEITH V. JOHNSON is