, learning from each other’s prospective, theopportunity to apply what they learn in classroom, improvement in their communication skills,and better readiness for their future careers. They also valued the independence and ownershipthey were given, combined with the close and constant interactions with their mentors.Besides the focus group, data was gathered through surveys during Spring 2022 from all sixparticipants who participated in the focus group described above, as well as from fourparticipants who worked on the project beyond Spring 2022 until the date of collection of thisdata in Spring 2023. Two of the four students were returning students, while the other two werenew to the project. Finally, two of the six students surveyed in Spring 2022
NationalAssociation of Manufacturers found the inability to attract and retain a quality workforce as thetop business challenge, cited by 72.9% of respondents [6].Manufacturers are worried about their futures. The industry is dealing with a severe shortage ofworkers equipped with the knowledge and skills needed to function in advanced manufacturingworkplaces. Thankfully, this NASA-funded project provides more opportunities to preparestudents to enter the manufacturing career and excel with adequate competencies fosteringhands-on, simulation, and experiential learning through problem-solving. It also providestraining opportunities for professional development to other faculty and industry certification toindustry workers to acquire newer skills to advance in
into manufacturing engineeringcurriculum. The goal of this project is to establish a structured framework comprising of lectures,labs, and industrial experience, to enhance experiential learning about robotics and additivemanufacturing standards among engineering students.Program and Course DesignThis two-year project started from spring 2022 and will complete in spring 2024. To achieve thegoal of this project, there are three objectives: 1) Innovate course modules (lectures, labs, andprojects) to advance students' experiential learning of standards, 2) Produce virtual learningmaterials to improve students' career readiness, and 3) Establish a sustainable online coursestructure to enhance the impact of education.The courses involved in this
platform for telecom and midIR functionalities. Dr. Serna and BSU are part of the LEAP net- work, bringing industry, government and academia together for the use of integrated photonics and optical technologies. Dr. Serna is an Assistant Professor at BSU since September 2019. He is an OPTICA (OSA) Ambassador 2019 and a 2021 SPIE Career Lab Editorial memberSaif RayyanDr. Glenda Simonton Stump, Massachusetts Institute of Technology Dr. Glenda Stump is an educator and education researcher whose career has spanned multiple disciplines. She currently works as an Education Research Scientist in the Abdul Latif Jameel World Education Lab at the Massachusetts Institute of Technology. In this role, she is engaged in multiple
enrollment and retentionrates. To attract the younger generation to machining industry careers, more attention needs to bepaid to incorporating novel training methods that are more appealing and engaging to youngerstudents. Interactive training programs with game-like elements (gamified training programs) arepotentially a viable solution to effectively addressing the shortcomings of traditional trainingmethods.The process of gamification, defined as implementation of game-specific mechanics anddynamics in non-gaming applications [5] has been of interest in machining-related applications,including workforce development. As video games are designed with the goal of providingenjoyment to the user, potential benefits of gamification include enhanced
-300 PLC, we make theprevious course more comprehensive and closer to industrial manufacturing applications. Thesimulation and student manual provide students with an effective and interactive way to learnabout industrial automation and control, giving them the knowledge and skills, they need tosucceed in their careers. Figure 4: Networks 9 to 13 In the Testing Station ProgramFigure 4 represents steps 9 to 13 of the testing station code. The testing station program detectsthe colors of the top and bottom pieces of a product. Based on the colors of the two pieces, thetesting station provides information about the colors to the storage station, which then places theproduct on the appropriate storage rack. Figure
classifications where I learned the different types and uses for differentships in the world and the US. As someone who started with no knowledge on this industry, Ifelt I finished the course with a better concept of the shipbuilding industry… Apart from learningabout ship organization internationally, I learned about some tools that I had seen in theory incourses previously taken. This course showed how these tools are used to schedule, manufacture,and supervise shipbuilding. Overall, I felt this course to be helpful in both, providing a goodcontext of shipbuilding for anyone interested in pursuing careers related to it and in explaininghow management tools are used to prepare anyone interested in pursuing other managementcareers.” Although anecdotal in
industry demands and enhancing their careers. This approach is alsobeneficial for multidisciplinary project-based learning courses throughout the engineeringprogram. Although a formal assessment of the approach's effectiveness is yet to be conducted,anecdotal evidence suggests positive outcomes. Overall, this paper demonstrates the value ofusing free software and low-cost hardware in teaching PLC concepts, paving the way for moreaccessible and cost-effective education in this crucial area of engineering.IntroductionIndustrial control systems are heavily reliant on Programmable Logic Controllers (PLCs). Thesecontrollers are specialized computer systems with inputs and outputs designed for high voltagesand currents. Moreover, they utilize
curriculum engineering courses [9]. Understanding the technologies and hands-onpractice become critical for a successful career in manufacturing engineering. Therefore, educationcurriculum needs to be formed to prepare students to meet the challenges of advanced intelligentmanufacturing industries [10]. In this paper, an innovative empirical methodology based on i4.0technologies has been developed to be used to create sustainable procedures to the interoperationsof manufacturing systems. Implementing IIoT and digital cloud to the curriculum to provide real-time detection of unplanned behavior, fast correction response, and system data documentation forthe analysis will help in understanding manufacturing operations. The methodology is to build
the changes to metals that welding canproduce, they can make educated decisions about how to prevent any negative consequencessuch as failure of materials.Introduction As the supply of usable materials depletes, one of the goals of the manufacturer is toelongate the life of products. One of the factors that influences the lifespan of products iscorrosion. Corrosion and its negative effects are often discussed in education, but processes toprevent or reduce corrosion are rarely integrated into laboratory classes. A good understanding ofcorrosion-prevention techniques is critical for being prepared for careers in the manufacturingindustry and its related fields. Corrosion causes significant reduction in mechanical propertiesand can lead
careers [1] Additionally, active learning approacheshave decreased failure rates, increased grades [1] [2], and narrowed gaps for underrepresentedstudents [3]. However, implementing active learning strategies in engineering curricula requiresextensive time and resources [4]. Despite these challenges, educational institutions have adoptedactive learning to address the professional skills gap of engineering graduates [5] [6]. Thesestrategies vary from abstracted simulations using consumer goods [7] to complex facilities usingspecialized equipment [8].One such implementation of active learning in engineering is the Learning Factory, an integral partof the curriculum developed by the Manufacturing Engineering Education Partnership (MEEP) [8].The
workforcedevelopment and the implementation of Industry 4.0 within manufacturing enterprise settings.Having a better understanding of industry needs can help manufacturing educators better preparetheir students for successful careers in the workforce of the future.What is an Industry 4.0 Manufacturing System?Advances in information and communication technology (ICT), computational modeling, andcontrol algorithms have enabled the transformation of data into knowledge and control ofmachines and systems in real-time with high accuracy via smart sensory devices and wirelessnetworks. Such systems are known as cyber-physical systems (CPS) [7-9].In a conventional manufacturing system, inputs such as raw materials, equipment, tooling,fixtures, energy, and labor are
material consists of a wide array of content ranging from e-books and lecture videos tofully immersive virtual environments of laboratories and workshops [5-11].In preparing students for their future career, virtual reality experiences and hands-on training is animportant part of their education. VR research projects and laboratories are excellent teaching aidsfor providing students with opportunities to implement the theory they learn in class. Educatingthe younger generations about sustainable and clean energy sources is vital to living in a clean andbright environment in the future [12-14]. Design tasks were performed by teams of students in theengineering and engineering technology programs after completing the same prerequisites. Eachteam was