Paper ID #47208Student epistemological beliefs and learning attitudes in STEM education ina work integrated learning setting: an empirical assessmentProf. Venkataraman PB, Birla Institute of Technology and Science, Pilani A professor of Mechanical Engineering with a combination of industry and academic experience.Preeti Parimi, Birla Institute of Technology and Science Preeti Parimi is currently a Research Associate at Work Integrated Learning Programs, BITS Pilani, India. She holds a master’s in Education and a master’s in Human Resources from the University of Illinois at Urbana Champaign after studying engineering in her
COIL ImplementationCommon problems faced by COIL educators and proposed solutions. Despite its promise,implementing COIL programs in engineering education presents specific challenges,including: • Technological barriers: Disparities in digital infrastructure and access remain critical impediments to COIL implementation. Variability in internet bandwidth, availability of hardware, and familiarity with virtual collaboration tools can create inequities in participation. Instructors and students in regions with limited resources may face significant difficulties maintaining seamless communication and engagement during collaborative activities [18]. • Cultural misunderstandings: COIL bridges diverse educational, cultural
then worked in the aviation industry. After gaining experience, he changed his career path and went to academia as a lecturer at The University of Faisalabad in 2022. He joined Virginia Tech in the fall of 2024.Bailey Kathryn McOwen, Virginia Polytechnic Institute and State University Bailey McOwen is a Ph.D. student in Engineering Education at Virginia Tech with an academic foundation in physics and industrial engineering. Her research focuses on workforce development, professional training for engineering practitioners, and engineering ethics, with an emphasis on how emerging technologies can enhance continued education. Through her research, service, and academic work, she aims to bridge engineering education and
Paper ID #47128Expanding the Engineering Workforce: An Exploratory Study of a Mid-CareerTransition from a Non-Engineering BackgroundBailey Kathryn McOwen, Virginia Polytechnic Institute and State University Bailey McOwen is a Ph.D. student in Engineering Education at Virginia Tech with an academic foundation in physics and industrial engineering. Her research focuses on workforce development, professional training for engineering practitioners, and engineering ethics, with an emphasis on how emerging technologies can enhance continued education. Through her research, service, and academic work, she aims to bridge
Institute for the Future of Education Tecnologico de Monterrey, Mexico School of Engineering and Sciences Tecnologico de Monterrey, MexicoAbstractWith rapid advances in Industry 4.0 and 5.0 technologies, there is a growing need for a structuredapproach to continuing engineering education that supports lifelong learning and aligns withevolving industry demands. This paper presents an implementation proposal for a novelframework that integrates knowledge, skills, and abilities (KSA) taxonomies, predictive analytics,and best practices in curriculum development. Designed to address the unique needs of theInformation and Communications Technology (INFOCOMM) workforce, which faces
and biofabrication, biomechanics, and tissue engineering just to name a few. She is interested in integrating cutting edge education tools and hands on activities into her courses and teaching laboratory courses.Zachary Mineroff, Carnegie Mellon University As Assistant Director of Learning Engineering at CMU, Zach supports the design, development, and implementation of innovative educational technologies and learning experiences. He supervises a team of learning engineers that supports instructors through consultations, course design projects, and fellowship programs. He is a graduate of the Masters of Educational Technology and Applied Learning Science (METALS) program at CMU.Judy Brooks, Carnegie Mellon UniversityAvi
Manufacturing TechnologyCenter, which is mostly CNC machining training. Some societies such as National Council forAdvanced Manufacturing and Society of Manufacturing Engineers offer training.A few colleges and universities in the state offer associate degrees in advanced manufacturing.Several others offer two and four year degrees in engineering technology. For front line workersa good option is to join a company-based training offered by a few specific large manufacturersin the state. In those cases the company pays for training that they want to provide to a captiveaudience of trainees, thus creating their own pipeline. A few other offerings from governments ortrade associations are available, with credentials ranging from awards to associate
Paper ID #47951Using Generative AI to Assist a Smooth Transition from Industry Expert toCollege Professor - A Case StudyDr. Wei Lu, Texas A&M University Dr. Wei Lu is a Postdoctoral Researcher at the Department of Engineering Technology & Industrial Distribution at Texas A&M University. Her research focuses on Higher Education in Agriculture & Engineering, K-12 (STEM) Education, Communications, MarketingDr. Behbood ”Ben” Ben Zoghi P.E., Southern Methodist University Ben Zoghi is the Associate Dean, Advanced Studies and Industrial Partnerships, Executive Director, Hart Center for Engineering Leadership Bobby B
2017, she was a lecturer in the Department of Mechanical Science and Engineering at the same university for five years. Silva has extensive experience in course development across engineering, computer science, and mathematics and is passionate about advancing teaching innovations that benefit students and instructors alike. She is an expert in the development and application of computer-based tools for teaching and learning in large STEM university courses. Her current research investigates the use of educational technologies to enhance computer-based assessments and centralized computer-based testing centers. This includes leveraging Large Language Models (LLMs) for automated short-answer grading and the creation
certificate provides a high-qualitycredential from a top-ranked computer science department. In addition to computing skills, ouriCAN program emphasizes skills such as problem-solving, creativity, dealing with complexity,focus, resilience, and adopting a growth mindset to prepare students to shape the future ofcomputing [7] and [8].Our future work includes continuing to grow the program, providing more industry, non-profit,and research experiences, and providing exposure to AI fundamentals.References[1] A. Ivey, S. R. Johnson, M. Skorodinsky, and J. Snyder, “Abolitionist Computer Science Teaching: Moving from Access to Justice,” presented at the Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT