helping the students understand the concept of climate change from both a theoretical and practical perspective, allowing them to make a better, more-informed judgement. Table 3. Summary of 17 third-year student responses. MECH2250, 23 enrollments Third year student responseQuestions Yes May be NoQ#1: Do you thinkglobal warming will be NA 58% 42%solved in your lifetime?Q#2: Is carbon dioxidethe only greenhouse NA 5% 92%gas?Q#3: Do allgreenhouse gases 25% 17
:______________________________ Date:____________________Annual Student Survey: Annual NSF CAM Scholarship Recipient SurveyQ.1 Hello, this is__________ from {Removed} University's Office of Institutional Research. May I speak with [ANSWER TO Q. 36]?Q.2 We are calling students who have participated in XXU’s CAM Scholarship program which was funded by the National Science Foundation’s Scholarships in STEM program. As a reminder of the Informed Consent Letter you have previously signed, your responses will help us improve the program and report on its successes as we apply for future scholarship opportunities. Your participation is completely voluntary. You may choose not to answer a question or are free to withdraw consent and discontinue
. ©American Society for Engineering Education, 2025 Thermo for KeepsAbstractThermodynamics is often the most hated course in the mechanical engineering curriculum.Why? Because when you add up all the possible combinations of applied equations, they becomeoverwhelming, with often subtle differences that are hard to remember. To counter this, four keyprinciples become a foundation. If these are well understood, simple math operations on thesemay create the rest. These principles are: 1. Q = mC∆T, 2. Understanding latent heat, 3.Understanding P∆V work, and 4. Law of the Turbine (an artifice for student discussionestablishing constant entropy across a turbine, in a piston, etc). Even the confusing differencebetween
= F + m m + ext in out momentum d~ P ~ ˙ V~ − ~r × m ˙ V~ ~0 LO,sys P P Angular dt = MO + ~r × m + ext in out momentum dEsys Q˙ in,net + W˙ in,net
equations are converted to a set of algebraic equations using a weighted integral statement (e.g., weak-form Galerkin and least-squares formulation). For example, a weak-form Galerkin formulation of the governing equations, Eq. 1–2, can be stated as: find the solution {u, p} ∈ S h such that for all {w, q} ∈ V h the following equation is satisfied: Z ∂u w· ρ + ρu · ∇u − ρg − (∇ · w)p dΩ Ω ∂t Z − ∇q · u dΩ + (suitable stability terms) ZΩ = {w · (−pI + τ ) · n
-acceleration [28]. We also focused on the latest completeversion of each inventory found during our analysis, only referring to earlier versions in twocases: When important information such as psychometric data were solely available for thoseversions, or when assessing the use of that inventory through its various literary citationsexcluding of self-citations.IV. ResultsTable 3. Topic Coverage of the Concept Inventories Relevant to Statics FCI FMCE SSI CATS IBCM ASCI PMT TRCV # Topic #Q % #Q % #Q % #Q % #Q % #Q % #Q % #Q % 1 Static 9 30 7 15 4 12 2 20 4 9
course learning outcomes [1].From the students’ perspective, review sessions serve as an opportunity to learn about the examformat and get a general understanding of the types of questions they will be expected to answeror the types of problems they will be expected to solve. On the other side of the classroom, for aninstructor, exam reviews may feel like a tedious and redundant exercise, where one is expectedto regurgitate topics already covered in detail and to solve a series of example problems teasinglysimilar to what might appear on the exam.Another approach to exam reviews is hosting a question-and-answer (Q&A) session withstudents without a set agenda. This approach usually leads to disastrously low classroomparticipation and
suggests fillet radii and key chamfer dimensions [1]. Peterson [8] refers totypical fillet radii of r/d = 1/48 in, where d is the shaft diameter. In either source, thesedimensions do not correspond to common radii on bull nose end mills.Shaft Failure at KeyseatKeyseats are a common point of failure for shafts because they act as stress raisers. In powertransmission, a shaft essentially carries an alternating stress due to bending and a mean stress dueto torsion.Notch SensitivityThe effective stress in a part is typically lower than what one would predict from theoretical stressconcentration. The effective fatigue stress concentration is given by, Kf = 1 + q(Kt − 1) (1
problems given in Figs. 1a, 1b & 1c as developed in Blackboard (instructor view) – Dynamics of MachinesFigure 1d shows the Question Set as developed in Blackboard. There are two question sets: Q 1has two problems out of which one will be delivered to a student and Q 2 has only one problemthat will be delivered to every student. One might ask why not put two problems in Q 2 too, onefor each of the alternate problems (given in Fig. 1a & 1b)? The answer lies in the wayBlackboard works. If there are two problems in question set 2 one for each problem in questionset 1, then those may (or will) be mismatched as there is no control over which problem(s) aregiven from the set. It is quite possible that all students may get the same problem in
clarified, and students' questions wereaddressed.The first assignment, released in week ten, focused on guiding students to study and understandthe API 6A standard. Design teams were given two weeks to complete it. The API Specification6A document was provided, and students were required to review and comprehend the relevantsections related to API flange design.In the first Q&A session, a schematic of a typical bolted-flange-gasket assembly, as shown inFigure 2, was discussed. Students were guided to understand its structure and working principle.They were also directed to gather three specific pieces of information: (1) a list of materials for 6the flange, gasket, and bolts, (2) the dimensions of
cognitive learning gains be-tween the simulation and paper format groups. The simulation and paper cohorts each consistedof 18 students, when the data is combined across the Spring and Fall semesters.Figure 6: Learner preferences. The statements that learners are prompted to rank in the learnerpreference survey are displayed above each histogram. Learners from both the simulation andpaper cohorts strongly favored the simulation learning format over the paper learning format.5.1 Learner PreferencesThe results for the learner preferences survey are shown in Fig. 6. To examine if there were anypotential bias due to the order in which students completed the formats, we first conducted nor-mality checks using the Shapiro-Wilk test (αSW = 0.05) and Q-Q
immediate and future rewards. The lecture focuses on Q-learning as a simple yet powerful RL algorithm, explaining the creation of a Q-table, the application of the Bellman Equation, and the significance of key parameters such as learning rate and discount factor. Additionally, the exploration-exploitation tradeoff is introduced, with an explanation of how the "ϵ-greedy policy" can effectively balance exploration and exploitation. To consolidate these challenging concepts, the lecture concludes with a hands-on example using Q-learning to solve a maze problem. This practical exercise demonstrates how RL can find the shortest path from a start to a goal point while avoiding obstacles, showcasing RL's
Electrical Engineering. They presented the relation between pressure, flow rates, and designing a dam and solar panels for renewable energy.The second mini project: Each group picked their topic from Table 1. They were required toprepare a short 5–10 minutes presentation that included a title slide with the group’s info, aproblem statement slide, research and solution for the chosen topic, and a final slide for Q&A.The topics were broad in different areas to cover all the majors in the class. The objective of thisassignment was to familiarize students with the diverse real-world applications ofThermodynamics and to help them understand the significant challenges faced by our planet,climate, and emerging technologies. Through this
=strongly disagree and 5=strongly agree, or 1=no impact and 5=mostimpact.Table 1. Survey instrument. The statements use a 5-point Likert rating scale. Construct Q# Statement Q1 I prefer to work on my own through the design process. Q27 I prefer to work on my own in my other classes. I believe the design review process can be a powerful learning tool for Q2 Growth Mindset design. Q3 I believe that with more design experience, I will become better at it. I appreciate it when teachers, coaches, or parents give me feedback on my Q5
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balance, 1st law of thermodynamics andsecond law of thermodynamics for control volumes. Please use these equations to answerquestions 15 through 20. dmcv = m i − m e (A) dt i edEcv V2 V2 = Q cv − W cv + m i hi + i + gzi − m e he + e + gze (B) dt i 2 e 2 •dS cv Qj • • • = + mi si − me se + cv (C) dt j Tj i e15. (5 points)Consider the schematic drawing of a general control volume shown bellow. Place mcv, Ecv, Scv
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the final project poster presentation, students were asked to demonstrate their effectivecommunication skills. The result was remarkable, with 95% of students reporting that itsignificantly helped them initiate conversations and engage with the audience. Additionally, 63%of students found it useful in handling Q&A sessions, and 74% of them reported increasedconfidence in their communication skills. Some students (26%) also mentioned that they learnedhow to create a poster and organize their poster layout. When asked for suggestions to improvethe course, one main recommendation from students was to introduce short quizzes after eachtopic to reinforce lecture content.The survey results indicate that students found the course engaging and
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://www.nsf.gov/funding/pgm_summ.jsp?pims_id=133748a[17] M. Q. Patton, Qualitative research & evaluation methods: Integrating theory and practice. Sage publications, 2014.[18] M. B. Miles, M. A. Huberman, and J. Saldaña, Qualitative Data Analysis. A Methods Sourcebook. 2014. doi: 10.1136/ebnurs.2011.100352.[19] M. Borrego, J. E. Froyd, and T. S. Hall, “Diffusion of engineering education innovations: A survey of awareness and adoption rates in U.S. engineering departments,” Journal of Engineering Education, vol. 99, no. 3, pp. 185–207, 2010, doi: 10.1002/j.2168- 9830.2010.tb01056.x.Appendix A – Rough Draft of Learning InnovationReal World Engineering – Cooling Rat BrainsIntroduction – It is common knowledge that