Mechanical and Aerospace Engineering at the Old Dominion University. Dr. Kaipa received his BE (Hons.) ©American Society for Engineering Education, 2023 Development of a SimEvents Model for Printed Circuit Board (PCB) Assembly ProcessAbstractIndustry 4.0 creates numerous opportunities while at the same time it imposes challenges toworkforce development to take full advantage of emerging technologies and processes that areenabling new era of manufacturing. One of the key enabling technologies is Digital Twin,which is a foundation of smart and flexible manufacturing. Digital twin provides severalcapabilities to engineers: (a) what-if analysis during design process, (b) predictive
Paper ID #30279Interleaving Lenses to Scale Our Units of Analysis for EngineeringEducation ImprovementMr. Nicholas Jon MonacelliDr. Jennifer Karlin, Minnesota State University, Mankato Jennifer Karlin spent the first half of her career at the South Dakota School of Mines and Technology, where she was a professor of industrial engineering and held the Pietz professorship for entrepreneurship and economic development. She is now a professor of integrated engineering at Minnesota State Univer- sity, Mankato, where she is helping to build the Bell Engineering program, and the managing partner of Kaizen Academic
curriculum; complyingwith graduate school policy and procedures; and recruiting faculty and students. Glenda Scales,associate dean for distance learning and computing in the College of Engineering at VirginiaTech, and John Boehme, associate dean for Academic Computing and information sciences atWake Forest University School of Medicine, were co-project leaders for launching the distancelearning infrastructure in support of the SBES program.The vision for the technical team was to provide and maintain an advanced stable network and astate-of-the-art distance learning environment between Virginia Tech and the Wake ForestUniversity School of Medicine that promotes educational excellence. Specific goals for theinstructional technology team were
over theyears will help academicians, businesses, and policymakers to prepare future graduates with theknowledge and skills required for the new industrial revolution. The manufacturing landscape hasbeen transformed by the emerging trends in products, processes, materials, and technologies [7].Over the years, manufacturing has gone through a series of paradigm shifts starting with craftproduction and ending with today’s personalized production. Products, materials, processes,technologies, and information systems have also evolved based on the changing paradigms. Figure1 shows the pillars of manufacturing, which define the unique characteristics of manufacturingand are the core of manufacturing education. The six pillars of manufacturing are
activities has been published in more than 50 papers, book chapters and journals.Martina Trucco, Hewlett-Packard Martina Y. Trucco is a member of the University Relations staff of the Hewlett Packard Company. Her responsibilities include engaging in and supporting strong, strategic relationships with key Universities in Latin America, from fostering development of research collaborations to facilitating implementation of emerging technologies in the classroom. Prior to joining HP, Martina helped found a Tablet PC start-up company in Germany where she was responsible for marketing and business development; she also developed innovative e-marketing strategies at Eli Lilly in France, and
Morris University Carnahan, Dan, Rockwell Automation Maxwell, James, Dynetics Yamakage, Masahiro, Toyota Motor Engineering & Manufacturing North America, Hart, Jack, Office of Advocacy/ Small Business Administration Brown, G. Ronald, Agenda 2020 Technology AllianceUniversity of Southern California – Information Sciences Institute Keeton, Leigh, Lorain County Community College Foundation Smith, Kevin Scott, The University of North Carolina at Charlotte Casebolt, Eric, Cell Sign Technologies Mayewski, Dave, Rockwell Automation
electronics and photonics, advanced materials and manufacturing, bio- and neurotechnology, and Nano Environmental Health and Safety (nano-EHS) Emerging research in controlled self-assembly; nanomodular materials and systems by design; novel aspects of semiconductors, nanophotonics and plasmonics; and nanotechnology for water-energy-food processes Research infrastructure including the National Nanotechnology Coordinated Infrastructure (NNCI) and Network for Computational Nanotechnology (NCN) Technology translation and collaboration with industry through partnerships 24National Nanotechnology Coordinated Infrastructure (NNCI) Successor program to
classroom period and therefore can be used in a variety of ways. Modules are available on the Nano-Link website (www.nano-link.org).Acknowledgement:This work has been supported by NSF DUE 12204918.References: 1. Modularizing Emerging Technology Education: Two Case Studies, D. Newberry and M. Barger, Page 26.1165.3 ASEE 2013Page 26.1165.4
) Welcome to Education (Linda Shadiow, Director, Office of Faculty Development)8:50 – 9:30 Don Carter, Director of e-Learning at NAU, Three Emerging Technologies in Higher Coconino Education9:30 – 9:45 Coffee Break (Hallway) & Sponsor Displays (Kaibab)9:45– 11:45 Concurrent Session Presentations Kaibab Recruitment, Retention, & Related Laboratory & Modeling Innovations Canyon Moderator: Walt Loscutoff Moderator: David Scott • Elizabeth Brauer, et al., STEP UP: • Porbaha, Ali et al., Development of a Summer Engineering Camp for High Friction Pendulum
Technology, Madras, andcommuted to the L&T campus, about 5 miles apart on a daily basis. Initially, the studentresearched Web Services and how they operate. Creating the Web Service was easy, because allthe required tools were already provided with Microsoft Visual Studio 2005. At L&T, their localnetwork was almost at its capacity, so they wanted to ensure that data transfers were small in sizeand that they could be verified for accuracy, integrity, size and secure from outside viewers.Integrity was the first challenge and needed to ensure that the entire data transfer was correct.The issue was solved by introducing a keyed-Hash Message Authentication Code (HMAC)hashing function. Providing a way to check the integrity of information
statedobjectives, and taking into account set constraints or specifications. Bounded definitionsgenerally acknowledge that engineering design is also contextually-driven, and the mostcommon contexts that engineering students are asked to consider to inform the design areeconomic, environmental, and social (public safety)2. With strong consensus on the need toinclude design content and experiences into the curriculum in meaningful ways, a well-acceptedrepertoire of teaching and learning methods emerged. Teaching methods tend to focus on open-ended projects, often industry-based, completed either individually or in groups or teams.Curricular models tend to focus on freshman-year experiences, capstone experiences, andvertically- and/or horizontally
. Doğru, "Analysis of employability for the civil aviation maintenance graduates of Turkey," European Journal of Training and Development, vol. 41, no. 9, pp. 800-813, 2017.[9] P. Rosendahl and I. Wagner, "360° videos in education – A systematic literature review on application areas and future potentials," Education and Information Technologies, vol. 29, no. 2, pp. 1319-1355, 2024/02/01 2024, doi: 10.1007/s10639-022-11549-9.[10] V. Chan, N. D. Larson, D. A. Moody, D. G. Moyer, and N. L. Shah, "Impact of 360 vs 2D videos on engagement in anatomy education," Cureus, vol. 13, no. 4, 2021.[11] E. Mah et al., "Immersive video modeling versus traditional video modeling for teaching central venous catheter
existing and emerging features to adopt in the LMS wasinsufficient for the team as they wanted the LMS to support evidence-based pedagogicalpractices for teaching and learning. Thus, the team members began an analysis of these featuresgrounded in several distinct theoretical contexts.Despite their instructional technology expertise, the team members’ primary role on the projectwas not to develop the LMS. Instead, they were to collaborate with the LMS development teamto develop, administer, and report on an evaluation framework to assess the program’seffectiveness for adult learners. Hence, the needs analysis was heavily informed by the team’sdevelopment of an evaluation framework.The evaluation framework the team developed originated from the
partial rebates to the library for their subscription to the IEEEinformation product (contingent on predetermined IEEE Student Branch membership goals).The IEEE IEEE (The Institute of Electrical and Electronics Engineers) was formed in 1963. TheIEEE has more than 365,000 members in over 150 countries. Of that total, approximately68,000 are students. The IEEE is recognized as the preeminent international body for electricalengineering and organizes over 350 conferences each year worldwide. The IEEE is also veryactive in telecommunications, information technology, nanotechnology, robotics andbiomedical engineering and has 39 technical societies and publishes over 100 periodical titles. The IEEE has long encouraged and supported
Paper ID #15132Supporting Student Attainment and Management of Competencies in a Trans-disciplinary Degree ProgramProf. Amy S. Van Epps, Purdue University, West Lafayette Amy S. Van Epps is an associate professor of Library Science and Engineering Librarian at Purdue Uni- versity. She has extensive experience providing instruction for engineering and technology students, including Purdue’s first-year engineering program. Her research interests include finding effective meth- ods for integrating information literacy knowledge into the undergraduate engineering curriculum. Prof. Van Epps has a BA in engineering science from
growing shortages of highly skilled workers in multiple areas ofengineering and information technology who have the knowledge to take full advantage ofwhat continually evolving technology has to offer and thus to ensure that their companies willstay competitive on the market. For this reason, Plovdiv University (Bulgaria) and theSpanish University for Distance Education UNED, along with several enterprises are workingin the PAC project, which has been funded with support from the European Commission.1. Introduction Universities, business and the employment world in general face continuous changesand needs of the today’s knowledge-based society, a society based on learning to learn to beable to address emerging developments in an ever
years has led to concerns that the current educational system is not built to adapt and rapidly update to match the pace of industry changes, with some curriculum not having incorporated recent digitalization developments [4]. In fact, much of today’s engineering education in the United States remains largely unchanged since the 1955 Grinter Report [5]. Feedback from industry suggests that skills gaps are already apparent in new entrants to the workforce and that the current curriculum is not sufficient to address these gaps [6] [7]. Current literature on the expected implications of Industry 4.0 on the future of manufacturing provides a starting point for how emerging technology will impact engineers of the future. However, current literature
engineers (PFE) initiative. The RED program expects the deeperdepartmental change that was missing with the task force’s implementation plan. After anunsuccessful proposal in the first round, the department was awarded a RED grant in 2016. Thisgrant has provided the impetus for change through faculty collaboration and adoption of newmindsets and practices.MotivationA key focus emerged in this project for curriculum reform: student learning about the responsibledevelopment of ECE technologies, which considers individual and societal needs, and thusbenefits from a design thinking approach. Howard Michel, past IEEE President, wrote: “It iscritical that technical professionals not limit their role to creating the hardware, software, andinterfaces. As a
. Beaumerage, T. and Kempf, K., The nature and origin of chaos in manufacturing systems, Proceedings of the IEEE Advanced Semiconductor Manufacturing Conference, November 1994, pp. 169-174.2. Cale, T.S., Crouch, P.E., Song, L. and Tsakalis, K.S., “Optimal Control for LPCVD,” Proc. Symposium on Process Control, Diagnostic and Modeling in Semiconductor Manufacturing, The Electrochemical Society, Vol. 95-2, 97--107, Reno, May 1995.3. Collins, D.W., Williams, K., and Hoppensteadt, F.C., Implementation of Minimum Inventory Variability Scheduling 1-Step Ahead Policy in a Large Semiconductor Manufacturing Facility, 6th Annual IEEE International Conference on Emerging Technologies and Factory Automation, UCLA, Los Angeles, Sept
complex heat transfer systems that dissipate an imaginable amount of heatmicroseconds. Conventional heat transfer devices like plate-fin and shell-and-tubes heat exchangers arebecoming less effective, and new heat transfer surfaces emerge. The latter include triply periodic minimalsurfaces (TPMS) (Fig, 1a), topologically optimized surfaces, foam heat transfer devices (Fig. 1b), manifold-microchannel heat exchangers, and helical heat exchangers (Fig. 1c), all of which are made possible byadvances in additive manufacturing. This technology allows for the creation of intricate designs thatsignificantly enhance heat transfer, with improved surface area-to-volume ratios and the coefficient ofperformance (COP
is an image processing and recognition tool to detectsafety violations and non-compliance [7]. However, the ingress of emerging technologies such asBuilding Information Modeling (BIM), Internet of Things (IoT), and AI have led to the necessityof developing new skills for the construction workforce [8].There are ever-growing numbers of upgrade options for an average construction stakeholders tofollow through from an upskilling perspective. The choice of these upgradation options or skillscan be difficult to program into the learning and upgradation programs of engineering students andworkforce. To further emphasize on the need of research on workforce education of emergingtechnologies, the global construction industry is found to be suffering
research is undertakenfor each accepted projected. With this research, Engenius Solutions hopes to provide ourdevelopers and clients with the most current technologies. The creation of the TechnologyManager will allow Engenius Solutions to focus on long range developments in technology andmake formal opinions on which technologies are most promising for new product development.The formal opinion papers of an Engenius Solutions project will be available to all students atRose-Hulman who are researching the future of technology. This research on the pace and path oftechnology will hopefully increase information available to student development teams and thestudent-at-large when they have questions about emerging technologies. The information
; * creation of competitive advantage through manufacturing planning, strategy and control; * analysis, synthesis and control of manufacturing operations using statistical and calculus-based methods, simulation and information technology; * measurement of manufacturing variables and extraction of technical inferences about the process. Figure 1: Proficiencies Required from Undergraduate Manufacturing Engineering and Similarly-named Programs [11]Manufacturing Education and Research Community: The most recent redirection of SMEhas been the alignment of technical interests into ‘communities’. These are mostly recognizableas the previous ‘association’ structure
services, which include enhancing patientexperience, improving population health, reducing costs, and improving the work life ofhealthcare providers [1]. Emerging technologies such as Artificial intelligence (AI) have thepotential to transform the healthcare sector by improving patient experience, increasingoperational efficiency, and advancing medical research. Researchers in the medical field widelyacknowledge the potential role of AI applications in revolutionize traditional healthcare modelsand shift the service toward data-driven, patient-focused care [2],[3]. However, among many AIapplications, the Large Language Model (LLM) has been recognized as one of the mostpromising AI applications in the healthcare sector [4]. Unlike many traditional
lack of confidence in executives with regards to employees'preparedness for future technological advancements and the available training. They offeredcollecting open response data to provide further information on the role educational institutionsplay in better preparing the future workforce. Furthermore, Xie et al.,2020 provides us with asystematic review of the available literature on how to train and prepare a specific population,warehouse workers, in the face of industry 4.0.In this work, we have investigated the impact of industry 4.0 on the industrial distribution industryand warehousing, as a heart of the company’s operations. We have targeted different Business-to-business sectors located across the USA and conducted interviews with 22
they received in their engineeringeducation [4]. For others, they are not skilled or supported in addressing the power dynamicsthat can influence issues of bias and inequality in their professional work, systems design, andproject team interactions [5].This is changing, however, and some curricula are being developed and used in the classroom tosupport students’ ability to recognize and address bias [6]. While this is a promisingdevelopment, this training can is inconsistent and circumstantial–rather than a part ofInternational Council on Systems Engineering (INCOSE) or Accreditation Board forEngineering and Technology (ABET) and therefore has not been regularized to the extent ofsystems-wide engineering education change [7]. Thus, we have an
Faculty Associate for Accessibility and Universal Design for Learning. His academic research interests include innovative teaching and learning strategies, use of emerging technologies, and mobile teaching and learning strategies.Diana Bairaktarova (Assistant Professor) Associate Proffessor in the Department of Engineering Education at Virginia Tech.Devshikha Bose Senior Educational Development Specialist at Boise State University © American Society for Engineering Education, 2022 Powered by www.slayte.comWork-in-Progress: Mobile Assisted Gains through Innovative Curriculum for Students inthe Thermal-Fluids Science CourseIntroductionA learner-centered higher
, College Station. She received her Ph.D. in Engineering Education from the School of Engineering Education, Purdue University, USA. She earned her M.S. in Computer Science with a software engineering concentration from the National University of Computer and Emerging Sciences, Pakistan. Dr. Anwar also holds an M.Sc in Computer Science from Punjab University College of Information Technology, Pakistan. Dr. Anwar is passionate about research and teaching, specifically translating research into evidence-based teaching practices. For her research, she is particularly interested in designing interventions that help develop students' understanding of conceptually hard concepts in STEM courses. She was awarded the 2020 outstanding
at Urbana-Champaign and international expertise in early childhood policy and research methods. Her current research focuses on developmental engineering, early education antecedents of engineering thinking, developmental factors in engineering pedagogy, technological literacy and human-artifact inter- actions. She is a member of Sigma Xi Science Honor Society and in 2009 he was awarded the prestigious NSF CAREER Award.Prof. William G Graziano, Purdue University, West Lafayette PhD.(1976) University of Minnesota B.A., Franklin & Marshall CollegeDiana Bairaktarova, Purdue University, West Lafayette Diana Bairaktorova is a PhD student in the School of Engineering Education at Purdue University. She hold BS and
Engineering at the University of Ibadan, Nigeria.Dr. Adurangba Victor Oje, University of Georgia Dr. Victor Oje is focused on emerging technologies design and pedagogy in technology-enhanced learning environments. He is also interested in systematic review and meta-analysis research methodologies and evidence-based design practices.Deborah Moyaki, University of Georgia Deborah Moyaki is a doctoral student in the Engineering Education and Transformative Practice program at the University of Georgia. She holds a bachelor’s degree in Educational Technology and is excited about the possibilities technology offers to the learning experience beyond the formal classroom setting. Her research focuses on improving the educational