discussed as a critical area to integrate the operator 4.0/5.0 research space[7]. One way to advance such work is to improve decision support, communication and mutualunderstanding between operators and Computer-Aided Manufacturing (CAM) users throughoutthe DED process.CAM user strategies, particularly for convergent DED, rely on operator input due to processcomplexity [8]. Operator experience leads to critical intuition with certain system constraints,design features and materials. For example, an operator might influence the decision at which pointin the process to transition from additive to subtractive processes, in order to maintain tool reachand access to unique or internal features [8]. Additionally, an operator might discuss situations
an inductive coding approach. First, all studentresponses were open-coded to identify key concepts. Inclusion criteria for themes required that aconcept appeared in at least 50% of responses and aligned with lean engineering andsustainability principles discussed in the course. Codes were grouped into broader themes basedon frequency and conceptual similarity. The three primary themes; Seeing Value, SupportiveEnvironment, and Student Efficacy, emerged as the most prevalent across student reflections.Figure 1 the study flow, beginning with the integration of the EOP framework into the course.Students then completed Photo-Voice assignments reflecting on their learning. These reflectionswere analyzed using the How Learning Works framework
development, and perceptions of the relevance of I&E education in thecontext of manufacturing.The evaluation data suggests that students valued the connection between manufacturing theory andentrepreneurial practices. Survey responses indicated that exposure to I&E concepts and resources in thecourse helped students develop an entrepreneurial mindset and identity. Additionally, the inclusion ofguest entrepreneurs and mentoring for practical NPD projects helped bridge the gap between academicconcepts and real-world manufacturing challenges. However, some students felt that this experience cametoo late in their curriculum to make a significant impact, that the I&E content did not add new insights,and that the implementation did not foster
:10.1080/09523987.2018.1512448Sullivan, P., & McCartney, H. (2017). Integrating 3D printing into an early childhood teacher preparation course: Reflections on practice. Journal of Early Childhood Teacher Education, 38(1), 39-51.Vaccarezza, M., & Papa, V. (2015). 3D printing: a valuable resource in human anatomy education. Anatomical Science International, 90(1), 64-65.Verner, I., & Merksamer, A. (2015). Digital Design and 3D Printing in Technology Teacher Education. Procedia CIRP, 36(Supplement C), 182-186.Yi, S., Park, H., & Lee, Y. (2016). Development of the TPACK-Based Curriculum with 3D Printer for Pre-service Teachers. The E-Learn: World Conference on E-Learning in Corporate, Government
vendors to deploy digitalisation solutions, which results in high vendor dependence and possible data privacy issues. This reliance typically leaves subject matter experts (SMEs) within the company powerless, since they do not possess the competency to apply, manage, or change these solutions on their own [5]. This encouraged us to create an academic curriculum integrating Project-based learning (PjBL) to upgrade manufacturing professionals. PjBL, investigated globally since the 80s [6], is a method of teaching that has participants discover real-world problems and practical problems, and resolves them through practical projects. This technique, in addition to an increased understanding of theoretical concepts, also develops necessary skills
Manufacturing Engineer (CMfgE), awarded by the Society of Manufacturing Engineers (SME) since 2001, and a Certified Quality Engineer (CQE) awarded by the American Society for Quality (ASQ) since 2004. In addition to positions in the automotive industry, Dr. Ertekin has held faculty positions at Western Kentucky University and Trine University. He later joined Drexel University’s College of Engineering as an associate clinical professor and has been instrumental in course development and the assessment and improvement of the Engineering Technology (ET) curriculum, including integrated laboratories, project-based learning, and practicum-based assessment. Ertekin serves as the faculty advisor for the student chapter of the
provides valuable practical insights, it alsointroduces potential biases that must be carefully addressed to maintain the integrity andobjectivity of the research.Feasibility vs. Preferability Bias: The researcher’s close involvement in the program’soperational aspects may lead to an overemphasis on the feasibility of employer engagementactions—how easily employers can participate—rather than evaluating the preferability oreffectiveness of these actions in meeting broader program goals. There is a risk of prioritizingwhat works for the program logistics over what delivers the most value to employers and theiremployees.Instructor-Centric Bias: Another potential bias arises from the researcher’s dual role as aninstructor and program developer. This
Paper ID #47776Development of Digital Laboratory Modules Using Computer Simulation ForEnhanced Learning Experience in Manufacturing EducationDr. Md Fashiar Rahman, University of Texas at El Paso Dr. Md Fashiar Rahman is an Assistant Professor of the Industrial, Manufacturing and Systems Engineering (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr
forCNC. The second college cohort in Spring 2022, there was more of an emphasis placed onlearning using the VF3. The third college cohort in Spring 2023 experienced the implementationof the ACE CNC Machining Training Program [1] incorporated into the first 6 weeks of thecourse while learning solely on the VF3. The ACE curriculum will be referred to as the ACEbootcamp for the remainder of this paper. The fourth college cohort in Spring 2024 continued touse the ACE bootcamp for the first 6 weeks of the course and used two HAAS MiniMill2s astheir primary CNC equipment for learning. The first high school cohort for the ACE bootcampwas taught over the course of four days during Spring Break 2024. This paper will focus on thefourth college and first
Engineering from the University of MissouriRolla. Dr. Ertekin has also been a Certified Manufacturing Engineer (CMfgE), awarded by the Society of Manufacturing Engineers (SME) since 2001, and a Certified Quality Engineer (CQE) awarded by the American Society for Quality (ASQ) since 2004. In addition to positions in the automotive industry, Dr. Ertekin has held faculty positions at Western Kentucky University and Trine University. In 2010, he joined Drexel University’s College of Engineering as an associate clinical professor. He has been instrumental in course development and the assessment and improvement of the Engineering Technology (ET) curriculum, including integrated laboratories, project-based learning, and
-XML, STL, JT, and3D-PDF which can be used for [6]: • Visualization of engineering data • Data exchange involving exact geometry • Use in digital mock-up (DMU) • Documentation and archiving • Use of 3D information in PLM“In a nutshell, STEP files are used to describe an ever-growing body of product information -like part geometry, tolerances, and assembly instructions—in a neutral format that can beexchanged between computer-aided systems, like computer-aided design (CAD) and computer-aided manufacturing, and integrate those designs into the broader enterprise systems [7].” Asmart version of the 3D model for a part or assembly with PMI will lead to possibilities forartificial intelligence, computer aided process planning