21 9.50 15.12 23.06 0.50 4.179 2 Su 21 12.00 21.03 22.75 0.50 4.467 3 F 21 12.00 20.00 23.00 0.50 4.194 4 S 22 12.00 21.70 22.60 0.50 4.579 5 S 22 13.00 21.80 23.00 0.50 4.322 6 S 22 13.40 20.70 23.00 0.50 3.981 7 S 22 12.00 20.20 22.90 0.50 4.319 8 S 22 11.50 20.50 23.00 0.50 4.594 9 S 22 12.50 19.60 23.00 0.51 3.883 10 S 22 9.00 14.90 22.50 0.51 3.979 11 S 22 10.00 15.80 22.80 0.50 4.037 12 S 22 9.00 15.80 22.90 0.50 4.469 13 S 22 13.00
pedagogical content knowledge for undergraduate engineering and technology programs: Accelerating graduates’ preparedness for the 4IR geospatial industryAbstract:Surveying engineering technology (SET) and Geomatics (S/G) programs have significantly beenimpacted by advances of three-dimensional (3D) geospatial data acquisition technologiescoupled with innovation in computational infrastructure over the past decade. Today, large-volume 3D data in the form of point clouds, meshes, or other representations, are frequentlycollected by sensors such as Light Detection and Ranging (LiDAR) and depth cameras for bothindustrial purposes and scientific investigations. Traditional surveying techniques are more oftenintegrated with the
time;connection, enabling them to conduct experiments even ifthey don’t have access to a physical laboratory. • web server, responsible for making system information available (signals from sensors, equipment images, WebLab's have been implemented in several institutions etc.) at interface accessible by the user remotely;since the 90's, presenting solutions for remote operationgenerally using commercially available software or dedicatednetworks [1]-[6]. At the Instituto Mauá de Tecnologia, several • user interface
corresponds to the theoretical side and simulations.Bibliography1. Groover M.P., Fundamentals of Modern Manufacturing Materials, Processes andSystems, 2nd Ed., Wiley, 2004.2. Eltantawie M.A.E., Design, Manufacture and Simulate a Hydraulic Bending Press, Int.J. Mech. Eng. & Rob. Res., Vol. 2, No. 1, January 2013.3. Kumar, M. et al., Design and Fabrication of Pneumatic Sheet Metal Cutting and BendingMachine, International Journal of Engineering Research and Advanced Technology,Special Volume 2, Issue 1, May, 2016.4. Salem, C.B. and Meslameni, W., A Numerical Investigation of the Springback in Air Vbending of Aluminum 1050 A, International Journal of Research in IndustrialEngineering, Vol. 11, No. 2, 119-133, 2022.5. Kalpakjian, S. and Schmid, S.R
from [9]: µ0 I ˆ B= ϕ (3) 2πswhere s represents the perpendicular distance from the wire, and ϕˆ is the azimuthal basis vector,and I is the current magnitude. When multiple sources (current-carrying wires) are present, theresulting magnetic field is the sum of all fields sourced by each individual wire, according to theprinciple of superposition. Therefore, it is possible to visualize the magnetic field associated witha system containing an arbitrary number of infinite current-carrying wires in a VR environment.The user may interactively manipulate the
, consists of five 1-DoF rotational robotic linksplaced one next to the other and mounted on a 60 cm × 12 cm acrylic frame. Each link has aHitech HS-475HB servo motor, an Adafruit BNO055 Inertia Measurement Unit (IMU) sensor,and an STM32 Nucleo-L432KC microcontroller (refer to Figure 2). The Hitech HS-475HB Servomotor is the actuator of the robotic link, with a range of rotation of about 180o . It accepts a PulseCode Modulation (PCM) signal with a minimum of 500 µs and a maximum of 2500 µs of width.The Adafruit BNO055 IMU sensor is an intelligent 9-Axis absolute orientation sensor thatintegrates a triaxial 14-bit accelerometer, a triaxial 16-bit gyroscope with a range of ±2000o /s, atriaxial geomagnetic sensor, and its own 32-bit ARM Cortex M0
. Mosterman et al., “Virtual engineering laboratories: Design and experiments,” J. Eng. Educ., vol. 83, no. 3, pp. 279–285, 1994, doi: 10.1002/j.2168- 9830.1994.tb01116.x.[3] M. Abdulwahed and Z. K. Nagy, “The impact of the virtual lab on the hands-on lab learning outcomes, a two years empirical study,” Proc. 20th Annu. Conf. Australas. Assoc. Eng. Educ. Eng. Curric., no. March, pp. 255–260, 2009.[4] M. D. Koretsky and A. J. Magana, “Using technology to enhance learning and engagement in engineering,” Adv. Eng. Educ., vol. 7, no. 2, pp. 1–53, 2019.[5] R. Heradio, L. De La Torre, D. Galan, F. J. Cabrerizo, E. Herrera-Viedma, and S. Dormido, “Virtual and Remote Labs in Education: a Bibliometric Analysis
experiment instructions and related worksheets to give to the students.1. IntroductionWe seek primarily to describe the test fixture in sufficient detail for others to construct. Secondly,we will also describe a few of the experiments that one can conduct with the fixture. Finally, wewill illustrate some of the difficulties that students have conducting these experiments.The value of this simple apparatus is that we can build many and thus have students work in groupsof 3 to 4. Typically, we will have 4 groups in a lab period with an instructor and student assistant(s)(who did these experiments the previous year). The need for smaller groups of students to workin direct contact with the equipment has been recognized for many years. For example, see
that VR-based simulators were useful as a means of improving training in prostatepalpation through virtual prostate palpation simulator. Also, Singh et al. [18] study comparedthe effectiveness of VR videos to traditional 2D videos in fostering immersive experiencesfor interdisciplinary teams addressing clinical problems. Their study highlighted that VRenhanced collaboration and communication skills among participants, potentially extendingvirtual immersion to global clinical settings for broader student awareness in BME education.In addition, the study by Wilkerson et al.'s [19] explored the efficacy of VR videos inengaging students and improving their understanding in an undergraduate course. While thestudy revealed positive impacts on
tuition and other funding purposes, studentsenrolled in the 3+2 Program are treated as undergraduate students, and thus they are eligible forfunding as they work on multiyear projects with undergraduate students.Note that the project described here does not entirely fit the VIP Program definition from the VIPConsortium [15]. Namely, students may take research credits which are graded S/U. If they takethese credits as Independent Study, then they are graded A-F. Also, Senior Seminar is graded S/Uwhile Senior Design Project is graded A-F. So, there is a mix of grading types that was agreedupon by the program faculty.Moreover, stipends to fund participating students are secured through grants. About $2000 perstudent team for a senior design project
able to: Summarize the problem into research Synthesis. Relate knowledge from several question(s) areas i.e. compose, combine, create Design the experiment in steps, at least Evaluation. Making choices based upon identify variables to be manipulated and reasoned arguments responding variables Predict the behavior or have hypothesis Synthesis. Relate knowledge from several areas i.e. compose, combine, create Collect and organize the data in table(s) that Analysis. Organization of parts. Identification is logical and understandable of components (order, classify, arrange) Plot the data
design in mid-curricula engineering sciences courses.References[1] A. Rugarcia, R. M. Felder, D. R. Woods, and J. E. Stice, “The future of engineering education: Part 1. A vision for a new century,” Chem Eng Educ, vol. 34, no. 1, pp. 16–25, 2000.[2] J. Trapani and K. Hale, “Higher Education in Science and Engineering. Science & Engineering Indicators 2022. NSB-2022-3.,” National Science Foundation, 2022.[3] T. Litzinger, L. R. Lattuca, R. Hadgraft, and W. Newstetter, “Engineering education and the development of expertise,” Journal of Engineering Education, vol. 100, no. 1, pp. 123–150, 2011.[4] E. Crawley, J. Malmqvist, S. Ostlund, D. Brodeur, and K. Edstrom, “Rethinking engineering education
allowed to use generative AI tools (e.g., ChatGPT) during anystage of the writing process or they could choose not to use them. If AI assistance was used,students were asked to include the following information in the Appendix of their reports: theprompt(s) used, and other details on how the AI-assisted content was incorporated or revised.This information was collected to ensure the accuracy of the report content and the authenticityof references.2.2 Instructor’s AssessmentA total of 48 draft reports (i.e., first submission) were evaluated for this study. Reports in whichstudents self-reported the Checklist were analyzed further for this study.3. Results and DiscussionAs mentioned earlier, the primary goal of this study was to evaluate the
.2016.02.002.[4] J. Tuttas and B. Wagner, "Distributed online laboratories," in International Conference on Engineering Education, 2001, pp. 6-10.[5] T. De Jong, S. Sotiriou, and D. Gillet, "Innovations in STEM education: the Go-Lab federation of online labs," Smart Learning Environments, vol. 1, no. 1, pp. 1-16, 2014.[6] M. Hernández-de-Menéndez, A. Vallejo Guevara, and R. Morales-Menendez, "Virtual reality laboratories: a review of experiences," International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 13, no. 3, pp. 947-966, 2019/09/01 2019, doi: 10.1007/s12008-019-00558-7.[7] M. Abdulwahed and Z. K. Nagy, "Applying Kolb's Experiential Learning Cycle for Laboratory Education
PRISMA-S (Preferred Reporting Items for Systematic Reviews and Meta-Analyses –Search) is a reporting guideline designed to enhance the transparency, comprehensiveness, andreproducibility of search strategies in systematic reviews and meta-analyses. As an extension tothe broader PRISMA Statement, PRISMA-S focuses specifically on the search component, whichis crucial for identifying all relevant studies. The guideline includes twelve checklist items,covering essential aspects such as specifying the databases and platforms used, providing fullsearch strategies with detailed syntax, and reporting any limits or restrictions applied. It alsoemphasizes transparency in documenting supplementary search methods, such as manualsearching or citation chasing
Paul, Oregon State University ©American Society for Engineering Education, 2023 Lab Safety Awareness in Incident and Near-miss Reporting by Students Participating in Engineering Societies: A Case StudyAcademic laboratory safety has gained considerable attention from researchers and researchinstitution administrators since several high-profile incidents in the late 2000’s. Another part ofstudent learning in engineering, though informal, occurs in co-curricular activity such asengineering societies and team competitions where students conduct hands-on activities toachieve certain objectives, usually with minimal (if any) authoritative figures in presence. Thesafety aspect of these co-curricular
Feb 12, 2023].[3] R. B. Sepe and N. Short, “Web-based virtual engineering laboratory (VE-LAB) for collaborative experimentation on a hybrid electric vehicle starter/alternator,” IEEE Transactions on Industry Applications, vol. 36, no. 4, pp. 1143-1150, July 2000.[4] H. Hodge, H. S. Hinton, and M. Lightner, “Virtual circuit laboratory,” Journal of Engineering Education, vol. 90, no. 4, pp. 507-511, Oct. 2001.[5] H. Gurocak, “E-Lab: An electronic classroom for real-time distance delivery of a laboratory course,” Journal of Engineering Education, vol. 90, no. 4, pp. 695-705, Oct. 2001.[6] M. Koretsky, C. Kelly, and E. Gummer, “Student perceptions of learning in the laboratory: Comparison of industrially situated virtual
publication.AcknowledgementThe authors would like to appreciate the financial support from the National Science Foundationvia award #2107140, # 2110760 and the Department of Energy via award DENA0003987, alsothe RISE grant from the Research & Innovation at Prairie View A&M University.References[1] J. Lee, B. Bagheri, and H.-A. Kao, "A cyber-physical systems architecture for industry 4.0-based manufacturing systems," Manufacturing letters, vol. 3, pp. 18-23, 2015.[2] Y. Huang, M. C. Leu, J. Mazumder, and A. Donmez, "Additive manufacturing: current state, future potential, gaps and needs, and recommendations," Journal of Manufacturing Science and Engineering, vol. 137, no. 1, 2015.[3] B. Motyl, G. Baronio, S. Uberti, D. Speranza, and S
student(s) 10% 0% Prd - Make prediction about outcome of experiment 3% 9% SQ - Student asks a Question 14% 13% AnQ - Student Answering a Question 14% 17% OG - Other assigned groups activity 34% 0% Ind - Individual Thinking/Prob Solving 3
work that was supported by the National Science Foundation Grant #1915615 titled “Adapting an Experiment-centric Teaching Approach to Increase StudentAchievement in Multiple STEM Disciplines”. It should be noted that the opinions, results,conclusions, or recommendations expressed are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] F. Ouyang, T. A. Dinh, and W. Xu, “A Systematic Review of AI-Driven Educational Assessment in STEM Education,” J. STEM Educ. Res., vol. 6, pp. 408–426, 2023, doi: 10.1007/s41979-023-00112-x.[2] W. Xu and F. Ouyang, “The application of AI technologies in STEM education : a systematic review from 2011 to 2021,” Int. J. STEM Educ
temperature 2100.034, and 50 0.036BC.2 : meters | respectively. = (T PreliminaryT inf research suggested that a (5) ) preheated degrees higher @r r=surf ace (260 °F) than k s the specified baked temperature.ked once the perature internal
semester.References[1] J. Hattie and G. C. R. Yates, Visible Learning and the Science of How We Learn. London: Routledge, 2013. doi: 10.4324/9781315885025.[2] N. P. Subheesh and S. S. Sethy, “Learning through Assessment and Feedback Practices: A Critical Review of Engineering Education Settings,” Eurasia J. Math. Sci. Technol. Educ., vol. 16, no. 3, p. em1829, Jan. 2020, doi: 10.29333/ejmste/114157.[3] J. Qadir et al., “Leveraging the Force of Formative Assessment and Feedback for Effective Engineering Education,” presented at the 2020 ASEE Virtual Annual Conference Content Access, Jun. 2020. Accessed: Jan. 15, 2025. [Online]. Available: https://peer.asee.org/leveraging-the-force-of-formative-assessment-and-feedback-for- effective
(CEAS), the Integrated Teaching and LearningProgram (ITLP) emerged in the 1990’s from student demand and with college recognition thatattrition was a concern. At the time, CU offered hands-on experiences only in select junior- orsenior-design courses. “‘From an engineering perspective, lab classes are good because they giveyou a feeling for what you’re learning, and if you’re a visual learner, ITLP can help you learnfaster and better,’ said Eric Peers, an electrical and computer engineering senior,” who chairedthe student movement to launch more access to hands-on learning [28]. Envisioning an approachthat was more targeted for specific populations was not yet on the table.Improved student retention and satisfaction were early ITLP outcomes [29
the block disrupts the beam sensor at theramp's lower end. The accelerometer considers the ramp's direction as the x-axis and calculatesthe average acceleration experienced during the time it took the block to pass between the twoinfrared motion sensors. Finally, the screen displays the acceleration in meters per secondsquared (m/s²). Additionally, the serial monitor logs all the acceleration readings captured duringthe block's descent, along with corresponding timestamps.The development of this apparatus was part of a clinic project. It required various skills,including: Manufacturing skills: 3D CAD modeling, woodworking, fastening, precise measurements, basic electronics, Arduino programming and 3D printing. Project
engineering laboratory courses and asked the respondents to answer survey itemsrelated to five research questions: 1. What are the three most important learning outcomes for a laboratory-intensive chemical engineering course? [Open-ended Response] 2. How important are the following learning outcomes for a laboratory-intensive chemical engineering course? [Likert scale for level of importance and Top 5 of importance ranking] 3. What gaps exist in the thirteen learning outcomes identified by Feisel and Rosa? [Open- ended Response] 4. Which learning outcome(s) do you feel you have the most trouble with / are weakest in? [Select 3] 5. Which learning outcome(s) do you feel your overall chemical engineering
21st, 2025.[4] Cervone, G., Franzese, P., Ezber, Y., and Boybeyi, Z. “Risk assessment of atmospheric emissions using machine learning”, Nat. Hazards Earth Syst. Sci., 2009, 8, 991–1000.[5] Chen, J., Kong, H., Su, Y., and Zhang, H. “Indoor air quality monitoring system for smart buildings: A comprehensive review”. Building and Environment, 2021, 196, 107786.[6] Cuesta-Mosquera, A., Močnik, G., Drinovec, L., Müller, T., Pfeifer, S., Minguillón, M. C., Briel, B., Buckley, P., Dudoitis, V., Fernández-García, J., Fernández-Amado, M., Ferreira De Brito, J., Riffault, V., Flentje, H., Heffernan, E., Kalivitis, N., Kalogridis, A.-C., Keernik, H., Marmureanu, L., Luoma, K., Marinoni, A., Pikridas, M., Schauer, G., Serfozo, N
specimen, the process of loading the brass specimen can ANDWILL STRETCH THE SPECIMEN. To safely load the brass specimen, follow the processdescribed in step 6 but for the lower jaws, grab the test rod and lightly tap the joystick. Havesomeone monitor the load on the laptop and ensure the load does not exceed 100 lbs. This canhappen very quickly. 6. Once the test rod has been mounted in the jaws, connect the strain gage to the cord, see Figure 6a, by plugging in the data cord to the test rod, see Figure 6b. To connect the cord to the box, with the black locking switches in the up position, see Figure 7a, insert the white wire into the D120 port on Channel 1 Input. Then insert the black wire into the S- port and the red wire
console panel is used to toggle thefan power and adjust the wind speed. The other gauges on the console panel are unused (they arefor a force balance from the manufacturer). A Dwyer Mark II Manometer is used to measure thewind speed by reading the pressure change due to the flow. Assuming a temperature of 25 ◦ C anda pressure of 1 atm, using the datasheet [13] gives the conversion to wind speed in m/s as p v = 20.4952 Pv (4)where v is the wind speed in m/s and Pv is the pressure reading in inches of water.5.1 Benchmarking Drag on a SphereThe drag on a sphere is a well-studied quantity in fluid mechanics, so we
undergraduates summarize thedetails of the team’s past progress and their future plans in a short write up which gets sent to theM.Eng. student(s). These informative reports help the M.Eng. students stay fully aware ofdetailed progress. The M.Eng. students then pass along the information along with theirconsiderations for timeline and resources to the project sponsors. Faculty are copied on theseregular communications, and students are given credit for completing and sending these reportson time. The undergraduate teams meet with a course instructor every two weeks for a 30-minutecheck-in meeting, which serves to monitor team progress and help students stay on track as thesemester progresses.M.Eng. Roles Throughout the course, M.Eng. students