Photovoice reflections as well as written and oral presentations during andat the end of the term and are based on evaluating the level of practical knowledge gained by the studentsduring the development of such projects. As a general outcome, students became more involved duringclass time, and also they have shown interest in other research areas, being involved in extra courseresearch activities. Details related to the intervention and lessons learned will be provided so otherengineering instructors can easily re-create in the classroom. Overall, many different fields ofengineering instructors can benefit from this project-based approach to combine theory and practice toprepare the students to become better problem solvers and obtain practical
six individual skillmodules covering skills such as dependability, responsibility, independence, persistence,integrity, and ethics. The main goal is to create multiple opportunities to teach and reinforcesoft skills within the regular technical curriculum in the high schools. This paper discussesthe integration of the soft skills modules into the technical curriculum developed viaexamples, and outlines its potential uses in this engineering department’s curriculumincluding its manufacturing engineering program. The paper concludes with a discussion ofthe implementation of this project and provides some preliminary feedback from theparticipating high schools and reflections of the authors. It also includes future workopportunities such as
, reflectiveobservation, abstract conceptualization, and active experimentation, created by contextualdemands. Thus, ELT's implications for the course's design consisted of guiding learners throughrecursive processes of experiencing, reflecting, thinking, and acting to respond to the learningsituation. That is, "immediate or concrete experiences are the basis for observations andreflections. These reflections are assimilated and distilled into abstract concepts from which newimplications for action can be drawn. These implications can be actively tested and serve asguides in creating new experiences" [5]. Specifics of how ELT guided the course implementationare described in the section below.3. The CourseThe course titled Industrial IoT Implementation for Smart
. The curriculum will be delivered in multiple levels,or “tiers.” This paper will detail the development of the so-called level one (core) curriculumwhich covers a broad range of topics and is intended to build foundational knowledge for anunexperienced audience. Additional METAL training levels, still in development, will providedeep dives into industry-relevant and advanced topics.3 METAL Level One (Core)METAL trainings are intended to cover a wide range of industry relevant topics in metalworkingbeginning with basic, foundational knowledge and progressing through advanced university-level research topics. The training curriculum is colloquially referred to as “tiered” or“stackable” reflecting that each subsequent level builds upon
ratings. Positive ratings (scores of 3, 4, and5) were primarily justified by students highlighting the role of risk-taking in growth, creativity, andconfidence-building. They valued calculated risks in supportive environments like engineering projects,emphasizing self-belief, preparation, and the acceptance of failure as key drivers for willingness to takerisks. Negative ratings (scores of -5 to -1) were less common and typically attributed to discomfort withuncertainty, a preference for guidelines, or a lack of confidence. Some students expressed a desire to takemore risks but struggled with hesitation or internal barriers. The most frequent ratings were 2 and 3.These responses reflected a balanced approach to risk-taking, where students
more of the things that were positiveand do them even better.Future directions include implementation of the improvements above; development of newmodules focusing on interfacing other devices (such as robots); and development of modulesfocused on industrial applications of automated systems—such as manufacturing systems—tohelp learners see the big picture of how systems are integrated.AcknowledgementsThis material was supported by the National Science Foundation’s Improving UndergraduateSTEM Education (IUSE) Program (award no. 2044449). Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.Bibliography[1] Giffi
components involves strategic utilization ofBlender and SolidWorks software. Blender's “. blend" file format seamlessly integrates into Unity'sassets for designing the fan. SolidWorks-generated components are reimagined in Blender forcompatibility with Unity as shown in Figure 2. The wind turbine model is sourced from the Unity3D Asset Store, providing a pre-built foundation [3].Within Unity 3D, the design process continues with the creation of essential elements, leveragingmesh colliders and scripting for user interaction as shown in Figures 3, 4, 5, and 6. The additionof reflections enhances visual appeal, contributing to a more immersive and realistic userexperience. The design process seamlessly integrates Blender, SolidWorks, and Unity 3D
to comprise anAdditive Manufacturing Skills sub-scale. The content reflects the specific skills identified in theproject design. Students respond using a 6-point Likert-type scale from 1 (Completely Uncertain)to 6 (Completely Certain).Cronbach's coefficient alpha was calculated to assess the internal consistency of each scale. TheEngineering Skills Self-Efficacy sub-scale values were good and consistent with those reportedin previous research. The value was borderline for the newly developed Additive ManufacturingSkills scale, suggesting that the number or content of the items may need to be reviewed.The means for all the scales were above the mid-point, suggesting that students had confidencein their abilities. As more data is collected in
studies to develop; 4) create more case studies; and 5) evaluate transfer oflearning by varying the sequence of operations in the case study.6. AcknowledgementsThis material was supported by the National Science Foundation’s Improving UndergraduateSTEM Education (IUSE) Program (award no. 2044449). Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References1. Hsieh, S. and Pedersen, S. “Design and evaluation of modules to teach PLC Interfacing Concepts,” Proceedings of the 2023 ASEE Annual Conference, June 25-28, 2023, Baltimore, MD.2. Hsi, S. and Agogino, A.M. “The impact and instructional benefit of using
Measurement Machines (CMMs) o Scanners with Optical Tracking Devices o Structured Light Scanners o Portable Scanners o Laser Scanning ProcessThese scanners use a variety of methods including, still pictures as in the case ofphotogrammetry, or a laser source and time of flight principles measuring time elapsed duringreturn of the energy emitted by a LIDAR (Light Detection and Ranging) device, or visible whiteor infrared structured-light patterns to detect the deformation in an object as they are reflected ona surface of the object. Even though these methods mainly serve the industrial space, they havebeen used in scanning many historical [6] and anthropological artifacts including shipwrecks ordinosaur
reflect the views of the National Science Foundation.Bibliography[1] Zheng, P., Wang, H., Sang, Z, Zhong, R.Y., Liu, Y, Liu, C., Mubarok, K., Yu, S., and Xu, X., “Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives,” Frontier Mechanical Engineering, 2018, 13(2): 137–150[2] Industry 4.0, https://en.wikipedia.org/wiki/Industry_4.0, last accessed on 3/1/2020.[3] Manyika, J., Ramaswamy, S., Khanna, S., Sarrazin, H., Pinkus, G., Sethupathy, G. and Yaffe, A. Digital America: A tale of the haves and have-mores, McKinsey Global Institute Report. New York, 2015.[4] McLeman, A. (2014). Manufacturing skills gap: Training is the answer. Control Engineering, 61(10
power the four drone arms’ motor/electronic speed controller and three optional outlets3.3 Function Testing of PDBAfter the conceptual design in adopted, the next step towards developing this concept into aworking model is to test the function of PDB. The basic electric connectivity between the mainpower node and the utility (distribution) nodes was tested and verified to reflect the circuitdesign. Another important operational consideration is the heating of the board due the highcurrent it delivers from the battery to the motors- through the electronic speed controllers (ESC)-and other utilities. With guidance from the electrical engineering faculty mentor, student withmechanical engineering background set up a test to monitor the temperature