Page 19.6.5 Figure 3: Q&A interactions occurred on the Piazza System2.3 Pedagogy of Inverted, Interactive and International LearningAbove all, the inverted learning process goes beyond the popular flipped classroom approach [2-5]. In a typical flipped class, the instructor assigns preview materials to students based on whatshe/he thinks they need to learn. Students complete the homework before schoolwork begins;then the instructor goes through key materials during the class time with a mixture of lecturesand/or exercises. The homework and schoolwork materials are same/similar in nature and aremostly based on what the instructor thinks students need to learn. With inverted learning, theinstructor first assigns pre-class study
capture all air flow. Cut one hole near the outside edge of theplastic bag. Insert a tube into one hole to measure static pressure with an inclined manometer ordigital manometer (resolution of 0.0x inches water). Cut another hole, with precisely measureddiameter, approximately in the middle of one face-side of the bag. This hole will act as anorifice through which the air in the inflated bag will escape at a controlled rate. Use thefollowing relationship to determine the cfm rating of the oven fan: 2 gc ∆ p q ' Co A (1) ρwhere q = gas flow rate (=) ft3/sec Co
of gravity, m is the mass of each individual body in the system, d is the distance from each individual body to the pin of rotation. Page 7.777.5 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright Ó 2002, American Society for Engineering Educationd. Measure the throwing arm’s release angle, q, and the associated ball’s release angle, f, Figure 8.e. Calculate the vertical displacements of the masses from state 1 where the arm is prepared to fire to state 2 where the arm has rotated about the pin and fired the golf ball at
] American Society for Engineering Education. (2016). Engineering by the Numbers: ASEE Retention and Time-to-Graduation Benchmarks for Undergraduate Engineering Schools, Departments and Programs. Washington, DC:Brian L. Yoder[6] Gates, A., Roach, S., Villa, E., Kephart, K., Della-Piana, C., & Della-Piana, G. (2008). The affinity research groupmodel: Creating and Maintaining Effective Research Teams. IEEE Computer Society.[7] Bernat, A., Teller, P.J., Gates, A., Delgado, N., & Della-Piana, C.K. (2000, July). Structuring the student researchexperience. In Proceedings of the 5th Annual SIGCSE/SIGCUE ITiCSE Conference on Innovation and Technologyin Computer Science Education, pp. 17-20[8] Gates, A. Q., Hug, S., Thiry, H., Aló, R., Beheshti, M
use of physical modeling techniques from machine dynamics, as well as implementation of the Newton-Raphson method for solving nonlinear simultaneous equations for the system shown in Figure 1: x = L1 cos(q1 ) + L 2 cos(q1 + q 2 ) y = L1 sin(q1 ) + L 2 sin(q1 + q 2 ) y x Figure 1: Schematic of the Robot • Assignment 2 -- Development of a Trajectory Plan: This phase of the project involves the planning of a robot arm movement from one desired point in space to another
larger, more genericcategories which are well-known to have different levels of engagement [18]. For example, toexplain electrical safety, an instructor may conduct a traditional lecture, do a role-playing activity,tell a story, or conduct a live demonstration. All of these activities fall into the lecture categorybecause the emphasis is on the instructor conveying information to passive listeners.Alternatively, we categorized Q&A sessions differently due to their interactive nature; studentsposed questions to the instructor, who then answered the question, which often led to newquestions and discussion.In Fall 2023, three observers used the protocol in both sections for ten different class sessions,representing the five different teamwork
,” Soc. Psychol. Q., vol. 63, no. 3, pp. 224–237, 2000.[7] D. Collins, A. E. Bayer, and D. A. Hirschfield, “Engineering Education For Women : A Chilly Climate,” Women in Engineering Conference : Capitalizing on Today’s Challenges - 1996 WEPAN National Conference. pp. 323–328, 1996.[8] L. K. Morris and L. G. Daniel, “Perceptions of a chilly climate: Differences in traditional and non-traditional majors for women,” Res. High. Educ., vol. 49, no. 3, pp. 256–273, 2008, doi: 10.1007/s11162-007-9078-z.[9] K. F. Trenshaw, “Half as likely: The underrepresentation of LGBTQ+ students in engineering,” CoNECD 2018 - Collab. Netw. Eng. Comput. Divers. Conf., no. 2011, 2018.[10] J. Jorstad, S. S. Starobin, Y. (April) Chen
- Resistance, series form • Xs - Reactance, series form • Zmag - Impedance magnitude • Theta (deg) - Impedance angle Page 14.638.9 • Rho - Reflection coefficient magnitude • RL (dB) - Return Loss, plotted as a negative number to simulate "reverse scale" • % Reflected Power • Phase (deg) - Reflection coefficient angle • Q - Quality factor, |Xs| / Rs • Rp - Resistance, parallel form • Xp - Reactance, parallel form • Ls (µH) - Equivalent inductance for series Xs, both positive and negative • Cs (pF) - Equivalent capacitance for series Xs, both positive and negative • Lp (µH) - Equivalent
conditions, since the ordinary effects are many orders of magnitude larger than therelativistic effects. Studies of these open systems found that energy is conserved across thecontrol surface for open systems as well as closed systems. The equation for the rate of energychange for a control volume is2: dEcv & V2 V2 ? Qcv / W&cv − ∑ m& i hi − i − gzi /∑ m& e he − e − gze (1) dt i 2 e 2 dE cvwhere is the rate of energy change within the control volume, Q& cv is the rate of heat flow dt
5. Select responses to the five-point Likert scale questions from Table 2The students also provided feedback to the open-ended questions. Select responses are shownhere along with a more summative assessment based on the instructor’s interpretation of thecomments. Q-16. Did this demonstration help you prepare for the final exam? If so, how? If not, why not? Not really only because I was already confident in my the final especially with mechanical energy portion, but it did not detract from the review. I had trouble making the connection from a mass flow rate to a mass balance in time for the experiment to give me a better understanding of the mechanical energy balance. No, it took a lot of time and our groups were too big. "too many cooks
through the volumes worth of materialwritten on the subject in order to simplify the topic of entropy to something that is clear and easyto understand. To accomplish this, the paper contributes by (1) introducing examples ofspontaneous processes that most people should already understand, (2) providing a brief reviewof the general operations of heat engines and the Carnot cycle, (3) framing the Carnot cycle inrelation to entropy, (4) discussing non-ideal heat engines, (5) showing analogies to help thereader understand the significance of the ratio Q/T as a definition for entropy, (6) adding somebrief notes on entropy that are beyond the general scope of this paper, and (7) presentingbrainteasers designed to engage students in the classroom. We
) − R ln(P ), where R = 8.314 kJ/(kmol.K) . • a. Sketch and label the process. • b. Develop mass, energy, and entropy balances for this evolution process. State all relevant assumptions • c. Solve the balances numerically and determine if the process thermodynamically feasible. • d. When testing the system, you realize that the process cannot be operated adiabatically, i .e., heat is lost at the boundary of the process (Q˙ B > 0). How would you change the process inlet to make the process feasible and keep the outlet streams as specified?(a) A sketch of the proposed process is given in Figure 4. ˙ b = 900 kJ/kmol
support model [1]. TheSupplemental Instruction (SI) program provides optional, non-remedial sessions designed todeliver content review and additional practice opportunities while developing transferable studyeffectiveness skills to benefit the student in all coursework at the institution.Results from other studies have revealed that regular session attendance positively impactedexam scores, overall course grades and DFWQ% (Ds, Fs, Q-drops, Withdraws) rates, and thatparticipants had an overall favorable perception of the SI program [1]-[5]. Some works havesought to determine factors that affect attendance in SI sessions, by using qualitative data onstudents attitudes to predict behaviors of attendance [6], [7]. This work in particular found
or ft) (1) where f is the friction loss coefficient, L is the length of the pipe (m or ft), V is the velocity (m/s or ft2/s) and g is the gravitational acceleration (m/s2 or ft/s2). The velocity of water inside any section can be determined using continuity equation: Q = A.V (2) where Q is the volumetric flow rate in (gpm, lit/min, m3/s, or in3/min, or any units based on your system calculations) and A is the cross‐sectional of the pipe (Make sure you use consistent units for A and V to have the proper units for Q). The state of the flow is determined based on Reynold’s Number NR = V.D/𝜈 (3
survey answers and comments. Then next questions examine the levelof support that students have toward expanding this new technology to other courses throughoutthe university (Question 10). Ninety five percent (95%) responded that they would like to seeLecture Capture expanded (see Figure 4). In the comment section, some students reported “Moreinstructors need to record their lectures”.ii Q 5 – I could easily access and download the lecture recordings. Q 1 – Lecture recordings provided a convenient way to reinforce course materials. Q 2 – Lecture recordings assisted me in preparing for homework and exams. Figure 4. Student is learning - Future of Lecture CaptureiiiConclusion and RecommendationsThe main
opportunity to appreciate art more”Q. To what extent do you see yourself as atypical among your peers? “Possibly more artistic than peers?” “There seems to be a new stereotype of engineers—they all play guitars. We don’t fit that stereotype.” “We may have greater dislike for rote learning—too confining.”Q. How do we re-structure this experiment to draw in more engineering students? “Form partnerships with arts students; arts students are encouraged to “get out there,” build résumés, and gain exposure through extracurricular activities.” “Show that we are not expecting symphonies or works at that level. The art we are doing should be good, but not daunting.” “Other students may have chosen to
DATA ACQUISITION (DAQ) MODULE ERRORThe following diagram of Figure 5 resumes the voltage signal flowing from the SCXI asVSCXI, through the DAQ module where it goes out as Vmodel.Let us summarize the terms that will be used in the following calculations, they werepresented in Table 1 and are labeled in Figure 5.• VSCXI: The output voltage of the SCXI module, it is also the input to the DAQ module.• Vmodel: Also called VDAQ, it is the final output voltage from the DAQ, the output voltage of the model.• GDAQ: the gain of the DAQ.• EGDAQ: the gain error of the DAQ.• Voff: Offset voltage in the DAQ.• EN/Q: Noise and Quantization error• % reading: Percentage of reading• Ibias: Input bias current• Ioffset: Input offset current• RoutSCXI: Output
Copyright ! 2001, American Society for Engineering Educationintersecting families of surfaces: F(x, y, z, p) = 0 , G(x, y, z, q) = 0 , H(x, y, z, r) = 0 .Then to each choice of p, q, and r we can assign a point P(x, y, z)which is the intersection of thethree surfaces corresponding to constant p, q and r. The parameters, p, q, and r can serve as co-ordinates for the points of our three-dimensional space. As an example with cylindrical spatialco-ordinates the families of surfaces with co-ordinates r, θ , z are: √(x2 + y2) = r circular cylinders concentric with the z-axis, expanding as r
assessed the normality of each student section’s data for each year. To do this, wecreated a quantile-quantile (Q-Q) plot for each student section, including both pre-test scores andlab quiz scores, resulting in a total of 8 plots. For simplicity, only one of the plots is shown inFigure 4, however, it is representative of the other plots obtained. Because this plot suggests alinear trend, we can infer that our data is approximately normally distributed, and thus, parametricstatistical tests, such as the t-test, are applicable in our subsequent analyses.Figure 4: A Q-Q plot from one student section assessing the normality of our data. The linearity ofthis plot suggests that the data follows an approximate normal distribution. Q-Q plots were
forusing the outcome indicators, the assessment plan will evaluate each individual outcome in asimilar manner to observe, analyze and evaluate the achievement of the program’s intendededucational outcomes, utilizing input from the program's constituents and feedback of the resultsto those constituents. Page 4.308.11 A LL EE CO URSES A V E R A G E Q U A N T IT Y O F O P P O R T U N IT Y 54 .5 43 .5 32 .5 21 .5 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 E D U C A T IO N A L O U T C O M
2 3 4 5 6 Q Q Q Q Q Q
Energy Stored in the System system out + Wout + m & θout & & in + Win + m &θ & Q & Q in dE dU d ( KE ) d ( PE ) d (U o
best practice videos.Assignments/examinations category included lecture discussion questions, homeworkassignments, term project, live-synchronous project or assignment presentations, online quizzes,take-home exams, and proctored exams. Communication category included email, phone, onlinechat, Q/A discussion forums, surveys, calendar of events. Starting a class category included selfintroductions and confirming understanding of syllabus, and finally tracking of online activitiesincluded tracking of detailed online presence of the students as logged in the learningmanagement system. Page 23.946.4Best Practice Category Techniques/Best
Page 23.1274.12electronics practices. At the end of the course, a survey was conducted among all the enrolledstudents (64 students) in that subject. The survey encompassed questions in terms of learningoutcomes, sense of reality, and performance. The survey results are shown in Table 2. Table 2. Survey on VISIR Deployment at UNED (2010/2011). Score Average Question (out of 5) (%) Feasibility Q.1. It helped me to understand the subject contents? 3.76
benefits of having to spend 2 hours on one problem l. M-type homework that I have done prior to this semester have the same problems I have in this semester. The way it is designed to help student learning on the subject is very weak compared to a software I have to use of Chem 1A, “sapling” m. n. I have used M for two semesters of physics. Both experiences have been awful. o. I have used MP and ME so far. I liked using it because I thought that it was a better way to study than just using the textbook. p. I don’t like it at all. q. It is a great idea, just need to fix up glitches. r. MP was
by a stepper motor, ensuring controlled drugyet to create practical implementations that integrate CNN- delivery at a calculated rate:LSTM methodology with real-time therapeutic systems forpersonal treatment, which follows standard seizure detection Q = RP M × V (2)approaches described in [23] and [24]. An integrated system delivers VNS technology with a CNN- Where: - Q is the flow rate in mL/min, - RP M is the motorLSTM model and drug delivery systems as one functional unit. speed in rotations per minute, - V is the volume displaced perSeizures are detected through ECG motion data entry with revolution.real-time detection and adjustable intervention responses that
which raters influence one anotherThe variables that determine the level of consensus are defined as follows: 1. Acquaintance (n). Acquaintance is the amount of information to which the rater is exposed. 2. Overlap (q). Overlap is the extent that two raters observe the ratee at the same time. 3. Consistency within a rater across acts (r1). Within rater consistency, correlation between S11 and S12, as shown in Figure 3. This can also reflect the consistency of the ratee’s acts. 4. Shared meaning systems (r2). The extent to which an act is given the same meaning by two raters, correlation between S12 and S22, as shown in Figure 3. 5. Consistency between-raters across acts (r3). The model assumes the between-rater
hosting a question-and-answer (Q&A) session withstudents without a set agenda. This approach usually leads to disastrously low classroomparticipation and classroom meetings ending awkwardly early. The author’s experience withthese is that students do not study prior to the review sessions, the instructor is not prepared withexample problems, and both parties waste valuable class time. Such Q&A-based review sessionsare usually ineffective because students do not know what questions to ask if they do not studyprior to the exam review and they do not know in which concepts they need help.BackgroundVisual learning is an important method for exploiting students' visual senses to enhance learningand engage their interest. Visual methods can
unitless , U is heat transfer coefficient, A is heat transfer area, and C is thesmallest thermal capacity of the two fluids. 𝑁𝑇𝑈 0.22 𝜀 = 1 − 𝑒𝑥𝑝 { [exp(−𝑐 𝑁𝑇𝑈 0.78 ) − 1]} …………………….. (3) 𝑐where ε is effectiveness, and c is ratio of smallest thermal capacity to largest thermal capacity. q=ɛ*Cmin*(T -T )…………………………………… (4) h,i c,iwhere q is heat transfer rate, ɛ is effectiveness, T is temperature of hot fluid in, and T is h,i c,itemperature