minute podcast again (or modify your original plan)5 Production 10 - 13 Update Storyboard Based on Feedback: Look at and planning address provided revisions, practice for time and consider format items (intro/outro, other sound items?)6 Podcast 14 - 16 Final Project + Reflection: Produce final podcast(s) and production and upload for distribution. Complete the final Metacognitive distribution Reflection.3.2 Data Collection The data was collected using a metacognitive reflection assignment consisting of twosections, with three questions in each section. The first set of three
, 2, 3) values as per equation (2) and sends the calculated 𝑦𝑦𝑖𝑖 and(previous) 𝑝𝑝𝑖𝑖 values to the respective Arduinos #i. The Arduinos use these values to calculate 𝑒𝑒𝑖𝑖and 𝑢𝑢𝑖𝑖 as per equation (3) and send the new 𝑢𝑢𝑖𝑖 values back to the Raspberry Pi (as indicated inFigure 6). Once all these 𝑢𝑢𝑖𝑖 values are received, the Raspberry Pi calculates new 𝑝𝑝𝑖𝑖 values as perequation (4). Then, in order to meet the 0.02 (s) sampling time interval, the Raspberry Piintentionally executes an idle (compensation) time. 9 Figure 5. Flow chart of the program on Raspberry PiFigure 6 illustrates the flowchart for the Arduino controllers #i (𝑖𝑖
involved conducting a comprehensive analysis of the overall system. Cruse et al.provide a detailed overview of the course topics, with project days and activities denoted [4].Survey And Data CollectionResearchers implemented a self-efficacy survey in the course structure to gain insights into theproject's impact on student self-efficacy. The instrument used to measure self-efficacy was anadapted from of the survey validated and discussed in Mamaril et al.'s Journal of EngineeringEducation paper entitled, "Measuring Undergraduate Students' Engineering Self-Efficacy: AValidation Study [8]." In this validation study, a self-efficacy instrument was identified to measureengineering efficacy in four areas: general engineering (Gen) and three engineering
, innetworking courses to address the difficulty of teaching networking concepts to electricalengineering technology students.OMNet++ Network Simulation PlatformOMNeT++ is a framework and library that is essentially used to create and primarily simulatecommunication networks. The simulations are composed of individual modules written in C++and then connected to form larger components using Network Description Language (NED),OMNet++’s proprietary high-level language [11-13]. During the simulation, OMNeT++ willperform calculations given the user's parameters and then output the results. These resultsinclude throughput, queue times, round trip time, and more. These results represent theperformance of the communication network set up by the user. A library
, warehouses need the opportunities made available byIndustry 4.0. The above perspectives confirm the need for reskilling the current workforce toadapt to innovations of Industry 4.0, and the COVID pandemic produced a window of time thatmade the benefits of such adaptations apparent. References[1] S. Qiu, M. Natarajarathinam, M. D. Johnson, and E. A. Roumell, "The Future of Work: Identifying Future-ready Capabilities for the Industrial Distribution Workforce," in 2021 ASEE Virtual Annual Conference Content Access, 2021.[2] E. Flores, X. Xu, and Y. Lu, "Human Capital 4.0: a workforce competence typology for Industry 4.0," Journal of Manufacturing Technology Management, vol. 31, no. 4, pp
commitment to continuous learning,ethical consideration, and an openness to the vast possibilities that generative AI presents forenhancing the educational experience and preparing students for the challenges and opportunitiesof the 21st century. References[1] A. Johri, A. S. Katz, J. Qadir, and A. Hingle, “Generative artificial intelligence and engineering education,” Journal of Engineering Education, vol. 112, no. 3. 2023. doi: 10.1002/jee.20537.[2] U.S. Department of Education, “Artificial Intelligence and Future of Teaching and Learning: Insights and Recommendations,” Washington, DC, 2023.[3] J. Borenstein and A. Howard, “Emerging challenges in AI and the need for AI ethics
and contribution to Iowa for development of clean and renewable energy and promoting diversity and international education between 1998 and 2012. Dr. Pecen served as past chair (2013-14), chair (2012-13), chair-elect (2011-12) and program chair (2010-11) of ASEE Energy Conversion Conservation & Nuclear Energy Division (ECCNED). Dr. Pecen also served on the U.S. DOE Office of Clean Energy Demonstrations (OCED) Energy Improvements in Rural or Remote Areas (ERA) FOA 3045 grant review in 2023, and again U.S. DOE Energy Efficiency and Renewable Energy (EERE)’s merit grant, and U.S. DOE Rural Energy Development review committees to promote Grid Engineering for Accelerated Renewable Energy Deployment (GEARED) and
the presentation. These rubricsalong with the grading scale and weights applied to the different performance indicators are shown inTable 2. The performance indicators in all gates are assessed on a scale of 0-4 with: 0-1 being at thedeficient level, 2-2.5 at the developing level, 3 at the emerging level and above 3 at the proficient levels.These levels are used for ABET outcomes assessment.Table 2. Gate 1 Rubric (The highlighted rubrics are used to assess ABET outcome 3.1 as shown in the ABET assessment section) Name(s
, demonstrating the com-plete picture of developing algorithms first on simulators and then deploying them to the physicalrobots. Another direction is to extend to robotic manipulators.References [1] M. Galli, R. Barber, S. Garrido, and L. Moreno, “Path planning using MATLAB-ROS inte- gration applied to mobile robots,” in IEEE International Conference on Autonomous Robot Systems and Competitions, 2017, pp. 98–103. [2] W.-J. Tang and Z.-T. Liu, “A convenient method for tracking color-based object in liv- ing video based on ros and MATLAB/Simulink,” in International Conference on Advanced Robotics and Mechatronics, 2017, pp. 724–727. [3] R. L. Avanzato, “Development of a MATLAB/ROS interface to a low-cost robot arm,” in ASEE Anuual
, effectiveness, and pedagogical value ofstudent-generated stories in a fluid mechanics course part of the mechanical engineeringtechnology curriculum. This application, which addressed Accreditation Board for Engineeringand Technology (ABET)’s Criterion 3 and Criterion 5c, was implemented in a four-credit hour(ch) senior-level applied fluid mechanics course, with a 3ch lecture and 1ch laboratorycomponent. The course is the second in fluid mechanics’ sequence and covers topics likepipeline systems design, pump selection, flow of air in ducts, lift and drag, etc. The originalinstructional design used a blend of traditional in-class lectures and problem-based learningfocused on project-based and other laboratory exercises.To further improve the students
involving open 4.2 4 4 0.69 and closed systems by applying the principles of conservation of mass, conservation of energy, and the second law of thermodynamics. Section C. Applications - How well they felt about… Mean Median Mode SD 1. Record and plot the temperature profile of water experiencing a 4.4 5 5 0.77 phase change (liquid to vapor, boiling) in a time-series manner. 2. Implement thermoelectric device(s) (i.e., Peltier Coolers) in a 4.8 5 5 0.42 closed-loop control system. 3. Implement instrumentation to various types of systems to 4.6 5 5 0.61 analyze the system from a First Law perspective. Section D. Applications - The hands
Programming", Proceedings of the 2022 Conference for Industry and Education Collaboration, ASEE, 9-11 Feb 2022, Tempe, AZ.[4] Al Atwa, Abdullah, Ian Bumgardner, Mohammed Bushlaibi, Steven Castello, Joshua Erickson, Aleksandr Sergeyev, and Mohsen Azizi. "Capstone Project: PLC Control System with Integrated PID Controller for Control System Optimization," Proceedings of the 2014 IAJC-ISAM International Conference, ISBN 978-1-60643-379-9.[5] Y. Fukuzawa, Z. Wang, Y. Mori and S. Kawamura, "A Robotic System Capable of Recognition, Grasping, and Suction for Dishwashing Automation," 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2021, pp. 369-374, doi: 10.1109
in soft skills by working in aninterdisciplinary team.AcknowledgementsThis project was supported by USDA NIFA funding, award number 2019-38422-30259. Wewould like to acknowledge Evelyn Martinez and Misael Calderon for the germination graphincluded in this document. We would also like to acknowledge all the previous SUSTAINstudents whose work is photographed in this paper. The external evaluation of the grant programwas conducted by Integrated Learning Innovations, Inc.References[1] Bogoslowski, S., Geng, F., Gao, Z., Rajabzadeh, A.R., Srinivasan, S., “Integrated Thinking -A Cross-Disciplinary Project-Based Engineering Education” in Auer, M.E., Centea, D. (eds)Visions and Concepts for Education 4.0. ICBL 2020. Advances in Intelligent Systems
the PLC and the robots, FANUC provides anEthernNet/IP adapter option (ID R538) that is placed on all robot controllers. To install andenable the EthernNet/IP communication protocol on the robot teach pendant, the procedureis start by verifying the correct version of core system software is used: • MENU > FILE > S/W Install • Go to F4 > CHOICE > USB(UD1:) • Go to F3 Done > 25 • Select the option from the window, then Enter the PAC code • Go to F4 > AUTH] • Go to F2 > INSTALL • Press F5 > AUTOUPDT if required • Cold start the robotThe robot is configured for communication through EthernNet/IP after installing theEthernNet/IP adapter option on the controller
in Software Engineering Education, in DREE ’22. New York, NY, USA: Association for Computing Machinery, Oct. 2022, pp. 25–26. doi: 10.1145/3524487.3527358.[3] J. E. Johnson and N. B. Barr, “Moving Hands-On Mechanical Engineering Experiences Online: Course Redesigns and Student Perspectives,” OLJ, vol. 25, no. 1, Mar. 2021, doi: 10.24059/olj.v25i1.2465.[4] V. S. Pantelidis, “Virtual reality and engineering education,” Computer Applications in Engineering Education, vol. 5, no. 1, pp. 3–12, 1997, doi: 10.1002/(SICI)1099- 0542(1997)5:1<3::AID-CAE1>3.0.CO;2-H.[5] J. Martin-Gutierrez, “Editorial: Learning Strategies in Engineering Education Using Virtual and Augmented Reality Technologies,” EURASIA J Math Sci Tech Ed
examples to general guidelines,” in ASEE Annual Conference Proceedings, 2004.[3] “What Is Accreditation? | ABET.” [Online]. Available: https://www.abet.org/accreditation/what-is-accreditation/ [Accessed Feb. 17, 2023].[4] J. Asuncion Zarate-Garcia, A. Serrano-Reyes, M. X. Rodriguez-Paz, and I. Zamora- Hernandez, “A continuous improvement model to enhance academic quality in engineering programs,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2020, vol. 2020-June.[5] C. Balascio, T. Brumm, and S. Mickelson, “Competency-based assessment of engineering technology program outcomes,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2010.[6] G. Neff, S. Scachitti, and M
𝒗𝟐 4. Calculate velocity head (also known as kinetic or dynamic head): 𝟐𝒈 𝒑 𝒗𝟐 5. Calculate total head (H) at point 2: + 𝟐𝒈 𝜸 6. Repeat procedure for all five runs. 7. Compare with the total head at point 1 and calculate the percent error. p2 p2/γ 𝒗2= Q/A 𝒗𝟐𝟐 /2g p2/γ + 𝒗𝟐𝟐 /2g % Q (ft3) t (s) z1 (ft) (psig) (ft) (ft/s) (ft) (ft) error 2.30 5.308 0.00469 14.98 1.528 0.036 5.334 5.68 6.23 2.37 5.469
/proceedings2019/pp.12-23.pdf[3] L. A. Rodriguez, D. Williams, and M. D. Cook, "Development of a Motion Control Laboratory Focusing on Control Design and Fluid Power Education," ASEE Annual Conference and Exposition, Conference Proceedings, Jun. 2019, doi: 10.18260/1-2--32648.[4] A. Garrard, K. Bangert, and S. Beck, "Large-Scale, Multidisciplinary Laboratory Teaching of Fluid Mechanics," Fluids 2020, Vol. 5, Page 206, vol. 5, no. 4, p. 206, Nov. 2020, doi: 10.3390/FLUIDS5040206.[5] I. Azzam et al., "Gerotor Pump Simulation Modules for Enhancing Fluid Power Education," Proceedings of BATH/ASME 2022 Symposium on Fluid Power and Motion Control, FPMC 2022, Nov. 2022, doi: 10.1115/FPMC2022-88469
, assess, refine and conclude the model or prototype 0 16.67 41.67% 41.67% Ave of all KPIs for SLO2 0 19.45% 41.67% 38.82% STDEV,S 0 9.504229 0.08335 0.047584 Indicate possible data collection items (i.e. lectures, assignments, quizzes, lab reports, projects, test questions) that may be used by the department in the annual assessment: Senior Design Projects; average of one initial report, one midterm report, and one final technical report.Students previously worked on this project also stated their satisfaction on preparing themselveson real-life
common than the facultyinitially assumed. Faculty were originally concerned about how they could make the labactivities as similar as possible to help students navigate the basics of learning the roboticsystems. However, this may be a minor concern, as the CRBs have proven intuitive, mainlywhen used concurrently with the IRBs. Students often finished tasks on the CRB in less timethan IRB when given the same task. Students are learning more in less time. This has openedspace in the curriculum and created an opportunity for student-faculty research in previouslytricky areas, given the time, resource, and safety constraints of the IRB-only space.References[1] S. Vaidya, P. Ambad, and S. Bhosle, “Industry 4.0 – A glimpse,” Procedia Manufacturing
misconceptions. Students diddemonstrate a good understanding of the I4.0 concepts. Nevertheless, it is essential to remindstudents that I4.0 is an emerging area; therefore, students must be willing to learn and adapt theinnovative technologies and concepts.References: 1. G. Weisgerber and L. Willies, "The Use of Fire in Prehistoric and Ancient Mining: Firesetting," Paléorient, vol. 26, no. 2, pp. 131-149, 2000. Available: http://www.jstor.org/stable/41496587. [Accessed: Feb. 25, 2023]. 2. Bird, M. “Fire, prehistoric humanity and the environment.” Interdisc. Sci. Rev. 20, pp. 131–154 (1995). 3. Y. Moon and S.-S. Seol, “Evaluation of the Theory of the 4th Industrial Revolution,” Asian Journal of Innovation and Policy, vol. 6, no
Corp, Rockingham Steel, Shuttlewagon, SouthernIndustrial Constructors, Sumitomo Drive Technologies, The Boeing Company, U.S. Army,Virginia Beach Schools, VectorNet, and Wabtec. This suggests that their evaluation of theproject's impact is likely to have been significantly shaped by their diverse ongoing professionalexperience. The former students responded to a variety of questions about the projectimplementation, including how well they remembered the semester-long group project. Themajority of respondents (82%) ranged from remembering it moderately well to remembering itvery well (see figure 1). They were also asked to briefly describe the project, describe the lessontaught to elementary students, and to describe the role(s) they
and refinement of Criterion 5 components, manufacture of a working version of Curriculum, with component, and serviceability of component respect to MET This applies to the following systems: program specific Suspension, steering, brakes, drivetrain/powertrain, Criterion B) 4WD/AWD, and chassis and ergonomics Demonstrate the ability to propose various idea(s) SO-1, PI 1 SO-1, PI 1 for possible cost reduction SO-2, PI 3 SO-2, PI 3 Demonstrate the ability to fully
suggestedtopics were confirmed to be added to the curriculum. Similarly, due to the professional diversityfactor, the number of proposed alternative names per topic and subtopic confirmed was alsoless than in Experiment 2. And like in Experiment 2’s discussion, the results show that with moreautomation (consensus building for the data analysis of topics, subtopics, and name analyses)outputs a quicker data analyses duration. Table 4 – Experiments 1, 2, & 3 Comparisons Experiment 1 [21] Experiment 2 [18] Experiment 3 Total Number of 19 22 31 Experts Total Number of <300
international perspective,” J. Nanoparticle Res., vol. 21, no. 11, 2019, doi: 10.1007/s11051-019-4638-7.[2] L. Wright, S. D. Eigenbrode, and T. A. Martin, “Architectures of adaptive integration in large collaborative projects,” vol. 20, no. 4, 2015.[3] B. Akbar, J. Brummet, S. Flores, A. Gordon, B. Gray, and J. Murday, “Global perspectives in convergence education,” J. Nanoparticle Res., vol. 21, p. 229, 2019.[4] S. Anwar, N. A. Bascou, M. Menekse, and A. Kardgar, “A systematic review of studies on educational robotics,” J. Pre-College Eng. Educ. Res., vol. 9, no. 2, pp. 19–42, 2019, doi: 10.7771/2157-9288.1223.[5] I. M. Verner, D. Cuperman, and M. Reitman, “Exploring robot connectivity and
2-year and 4-year STEM degrees: Systemic change to support students’ diverse pathways. Committee on Barriers and Opportunities in Completing 2-year and 4-year STEM Degrees, Board on Science Education, Board on Higher Education, and the Workforce. Washington, DC: The National Academies Press, 2016.10. Malcolm, S. and Feder, M, (editors); "Multiple STEM Pathways - The National Academies Press, 2016; https://www.nap.edu/read/21739/chapter/4 [Access Date: February 5, 2024]11. National Research Council, Learning science in informal environments: People, places, and pursuits. Committee on Learning Science in Informal Environments, P. Bell, B. Lewenstein, A.W. Shouse, and M. A. Feder (Eds.). Board on Science Education, Center for
should also ease apprehension thatstudents have with interacting with the professor outside of class times.Lastly, the faculty are looking at methods for students to provide feedback on their projectsduring the semester, whether this is through discussion boards, sticky notes, or surveys. Thiswould help provide students with different mechanisms to reach out for help during the projectand during the semester.References[1] J. E. Mills and D. Treagust, "Engineering Education: is problem-based or project-based learning the answer?," Australasian Journal of Engineering Education, vol. 3, no. ISSN 1324-5821, 2003.[2] K. H. Tseng, C. C. Chang, S. J. Lou and W. P. Chen, "Attitudes towards science, technology, engineeirng and mathematics (STEM) in
, 2024. https://www.linkedin.com/jobs/electronic-designer-jobs/?currentJobId=37350063015. Choi, C. 2008. A microcontroller applications course and freescale’s microcontroller student learning kit. Paper presented at the American Society for Engineering Education Annual Conference, Pittsburg, PA, June 22-25.6. Farook, O., C. Sekhar, and E. Bouktache. 2008. Embedded System Design with Microchip’s 16F88 Microcontroller. In Proceedings of 2008 ASEE Annual Conference & Exposition, Pittsburgh, Pennsylvania, June 22 - 25.7. Hsiung, S., Ritz, J., and Eiland, J. 2008. Design and develop a cost effective microcontroller training system for distance learning engineering students. Paper presented at the American Society for Engineering
skills which are important andneeded in the industry setting.Individual contribution assessment is still an ongoing challenge to effectively identify studentswho are not participating equally. Student self-assessment is not 100% accurate as some studentsunder- or over-rate themselves and/or their teammates.References:[1] ABET Criteria for Accreditation of Engineering Technology Programs 2022-2023, ABETStandard 2021[2] R. I. Mott, E. M. Vavrek and J. Wang, Machine Elements in Mechanical Design, 6th ed.,Pearson, 2018[3] R. G. Budynas and J.K. Nisbett, Shigley’s Mechanical Engineering Design 11th ed.,McGraw-Hill, 2020.[4] A. A. Yusof, M. K. M. Nor, S. A. Shamsudin, M. R. Alkahari, M. S. Aras and M. R. Nawai,Facing the Autonomous Underwater Vehicle
design challenges and employ the product design anddevelopment process to design a product to meet the challenge.Course outcomes (Student Learning Outcomes):Communicate effectively: 1. Learn how to communicate technical manufacturing requirements and product specifications through the use of CAD drawings and specification documents. 2. Co-ordinate multiple, interdisciplinary tasks to achieve a common objective. 3. Identify, address, and communicate obstacles and present pertinent solution(s) for successful design of a product.Identify, define, and solve problems: 4. Discover – Problem presentation by client, team formation, detailed problem understanding, investigation of prior art