effectiveness of these laboratory exercises by evaluating students' understanding of the targeted concepts through surveys. References[1] A. Parr, Hydraulics and Pneumatics: A Technician's and Engineer's Guide. 2011. Accessed: Nov. 30, 2023. [Online]. Available: https://books.google.com/books?hl=en&lr=&id=S5nkOjXQkEIC&oi=fnd&pg=PP1&dq=+Hydr aulics+and+Pneumatics:+A+Technician%27s+and+Engineer%27s+Guide.+CRC+Press.&ots=n RbTMWL4TI&sig=idj_otokX9OGVsC8kgXCMP08UCg#v=onepage&q&f=false[2] D. Lovrec, "Education in the Field of Fluid Power Technology-Challenges, Opportunities and Possibilities," 2019, Accessed: Nov. 30, 2023. [Online]. Available: https://fluidas.ro/hervex
college eachsemester, with presentations by NSWC personnel and posters by NEIL scholars who haveprogressed in or completed their research. NSWC recruiters usually present an overview of theDoD career and scholarship, internships, and career opportunities. An in-depth Q&A session isheld to encourage strong interaction between NSWC personnel and students. NEIL scholars alsoreflect on their development of leadership and innovation skills, in a panel format. NSWCpersonnel usually tour some of the college’s labs where NEIL scholars and their facultysupervisors show and talk about their projects.Initial plans for visits by NEIL scholars to the NSWC installation were thwarted by pandemic-era restrictions in place until 2023. Eventually, in the
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to engage deeply with the content, fostering theselection of more effective cognitive and metacognitive strategies for learning. At this stage, wewould like to encourage more instructors and researchers to join our effort in developing theLHETM model and examining its efficacy.AcknowledgementWe express our gratitude to Dr. Jing Liu for the meaningful discussion on data analysis.ReferenceAnderson, L. W., & Krathwohl, D. R. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives: complete edition. Addison Wesley Longman, Inc.Bao, L., Cai, T., Koenig, K., Fang, K., Han, J., Wang, J., Liu, Q., Ding, L., Cui, L., & Luo, Y. (2009). Learning and scientific reasoning
Measurement Output Adaptive Analog Discovery 2 Q BPF Test Bench FPAA Board Laptop PowerFigure 2: A typical FPAA enabled test setup that can be used for education that uses a an analog Discovery (Digilent),and laptop computer. This system is showing measurements for an Adaptive-resonance bandpass filter circuit. Thesetechniques allow students to quickly transition between a classroom setting to
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to capture the desired level of detail in all cases. Furtherwork is necessary to confirm the completeness of the set in its coverage of HCED concepts andtasks, as well as the robustness of interpretation of these items. We have taken some early stepstoward the validation and verification of this instrument, which are outlined in the subsequentsections. Table 1 - HCED Self-Efficacy Instrument items Q# Survey items HCD Taxonomy Space 12 Conduct background research (e.g. Understand internet search, market investigation, etc.) Goal: To attain a good 13 Empathize with stakeholders to identify underlying needs understanding of the
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powermeasurements, and the NI 9211 can be integrated for thermocouples. The power and temperature,as well as the aforementioned force and vibration measurements, are desired for monitoring thefriction stir welding process.AcknowledgementThis work was supported by the NSF under Grant No.1818655 and Department of Engineering atVSU. Any opinions, findings, and conclusions or recommendations expressed in this material arethose of the author(s) and do not necessarily reflect the views of the NSF and VSU. The hard workfrom the VSU senior project group on “Design of a Monitoring System for ManufacturingProcesses” in 2021-2022 is thankfully acknowledged.Reference[1] Devarshi Shah, Jin Wang, Q. Peter He, Austin Hancock, Anthony Skjellum, “IoT
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flipped (lectures given via videos outside class with class timeused for Q/A and problem solving) has made game-based learning more enticing. The instructormay setup games, competitions, or group activities to challenge the students to solve problems inclass. The instructor is there to help guide the students for immediate feedback to help developthe skills needed to answer questions.The majority of the authors on this paper are experienced in teaching electric circuits. Circuits isa challenging subject matter at its core, so any technique to help educate the students is welcome.A long-term goal of the research is to develop an end-to-end circuits instruction platform thatconcentrates on student outcomes and retention rates, but to reach that
dependencies in speech recognition and language translation, making them a key tool in voice-controlled robotics. • Week 5: Reinforcement Learning (RL) – The final lecture covers RL, focusing on how agents learn to maximize rewards through interaction with their environment. The lecture explains key RL concepts such as agents, states, actions, rewards, and policies. Students learn how reinforcement learning can be applied to robotics, where robots learn to optimize performance through trial and error. Concepts such as Q-learning and exploration vs. exploitation are briefly introduced, with practical examples tied to robotic systems.Since MET students generally have less experience with programming and
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