Affect Comput. 2010;1(1):18-37. doi:10.1109/T- 2018 ASEE Mid-Atlantic Spring Conference, April 6-7, 2018 – University of the District of Columbia AFFC.2010.1.12. Metaxas D, Zhang S. A review of motion analysis methods for human Nonverbal Communication Computing. Imavis. 2013;31(6-7):421-433. doi:10.1016/j.imavis.2013.03.005.13. Hu Q, Bezawada S, Gray A, Tucker C, Brick T. Exploring the Link Between Task Complexity and Students’ Affective States During Engineering Laboratory Activities. In: ASME 2016 Int. Des. Eng. Tech. Conf. Comput. Inf. Eng. Conf. ; 2016:V003T04A019- V003T04A019.14. Bezawada S, Hu Q, Gray A, Brick T, Tucker C. Automatic Facial Feature Extraction for Predicting
., Fath, K. Q., Howes, S. D., Lavelle, K. R., & Polanin, J. R. (2013). Developing the leadership capacity and leader efficacy of college women in science, technology, engineering, and math fields. Journal of Leadership Studies, 7(3), 6-23.Ewrin, L., & Maurutto, P. (1998). Beyond access: Considering gender deficits in science education. Gender and Education, 10(1), 51-69.Fischer, D. V., Overland, M., & Adams, L. (2010). Leadership attitudes and beliefs of incoming first-year college students. Journal of Leadership Education, 9(1), 1-16.A WiSE approach: Examining how service-learning impacts first-year women in STEM 16Haber, P. (2012). Perceptions of leadership: An examination of college students
Process Improvement. Four out of thefive panelists were female engineers to showcase the existing opportunities in the field as well astheir experiences working in healthcare.The workshop consisted of welcoming remarks, an ice-breaker exercise, panelists’ presentationsand Q&A session, and a case study. The ice-breaker exercise allowed participants to get to knoweach other while learning about the healthcare industry and statistics associated with the project(e.g., the low percentage of bachelor’s degree in Engineering earned by women in the U.S., thehigh percentage of women in the health sciences, and the high incidence of female engineers whoquit their jobs within 3 years or never enter the field).The panelists then presented their
to conserve in-class time for other activitiesand topics to be covered. With the textbook prices going up exponentially every year,incorporating the materials in the Help app also provides an opportunity to make the learningmaterials more affordable for financially challenged students. The contents of the Help app arelinked throughout the various knowledge apps to provide easy access to students when they arestruggling with particular concepts. a) Help App Interface b) Learning Materials – Q, V, M Figure 4. Help AppHerein, the Bending app is used as an example to demonstrate many of the novel qualities of thedeveloped mobile apps. The Bending app investigates support
; ^ ‘ “ % ~ / U X L 4 8 I B M 3 b) E R W 6 Q * , 0 1 ; : O 5 N Page 12.24.11 T F Y f) J ? !The message is encoded using the CIPHER according to the following rules. There may berepeated numbers or characters in which case you may choose one of the repeated ones to applythe following rules to.8,9The message is broken into pairs of characters
TCFFHRC and a fourth-place finish in the Navigation Challenge of the 2005 IGVC, naturally have built studentconfidence. The RST is divided into project groups, each focusing on a specific robot design.Every member of the RST chooses one or more projects and is expected to report regularly to theweekly RST seminar, which the second author supervises. In the fall of 2006, the team worked Page 12.336.3on four projects: (1) A new autonomous land vehicle (named Q). From 2000-2006 this group designed and competed with another IGVC robot, ALVIN. Q is an entirely new design based on an electric racing wheelchair. In the fall of 2006 the
accessed the complete notes prior to the midterm. Bot 52% Comparison of Group Performance Top 48% Midterm 2, Q Topics 4/5 & 18 Percentage who accessed notes Item Criterion Low Performance Ave Performance
hypothetical three-category Likert-style item. Subjects of low abilityare more likely to endorse the “Low” category (dark blue, e.g., 0.84 probability at θ = -2.0).Middle-ability subjects are relatively evenly split between the three options, while high-abilitysubjects display a pattern similar to that encountered for dichotomous items. At each θ value, thepredicted values sum to 1. In fact, a dichotomous response is a simplification, with only tworesponse categories (correct symbolized as P, and incorrect symbolized Q, where P + Q = 1). 1.0 0.9 0.8 0.7 Probability of response
30 40 15 Al Ti-13V-11Cr-3Al 4 Q& St St e
, Issue 6, pp. 501-507.6. Ahn, S. H., Bharadwaj, B., Khalid, H., Liou, S. Y. and Wright, P. K., “Web-BasedDesign and Manufacturing Systems for Automobile Components: Architectures andUsability Studies,” International Journal of Computer Integrated Manufacturing, 15,pp.555–563, 2002.7. Feng, J., “Internet-Based Reverse Engineering,” International Journal of AdvancedManufacturing Technology, January, 2002.8. Hu, H., Yu, L., Tsui, P. W. and Zhou, Q, “Internet Based Robotic System forTeleoperation, Assembly, and Automation,” International Journal of AssemblyAutomation, Vol.21, No.2, pp.143-151, 2001. Page 12.952.159. Huang, G. Q. and Mak, K. L., “Web-integrated
path taken.” This P-V diagram represents a system consisting of a fixed amount of ideal gas that undergoes two different processes in going from state A to state B: Process #1 State B Pressure Process #2 State A Volume [In these questions, W represents the work done by the system during a process; Q represents the heat absorbed by the system during a process.] 1. Is W for Process #1 greater than, less than, or equal to that for Process #2? Explain. 2. Is Q for Process #1 greater than, less than, or equal to that for Process #2? Please explain your answer.FIGURE 1. Two of the questions posed to students in both
area (Q) can be obtained using the following equation: b(h 2 / 4 / y 2 )Q? (25) 2Determination of the Principal Stresses:A square differential element of beam subjected to the normal stresses sx and sy and a shearingstress txy is shown in Figure 4. To develop the expression for the principal normal and shearingstresses acting on the element of the beam, the equation for the normal stress s and shearingstress t on an inclined plane with an angle of inclination of s are obtained first. uy A v xy ux
[inclusive of both weekends], statutory holidays [March 21 to 24, 2008], from Limitations to S2C2 validity March 25 to 27, 2008, or in cases of natural or technical events outside of my control [(e.g., severe illness, etc.) that would prohibit such a prompt response] • Please let me know through e-mail in the case that I did not Process for S2C2 feedback respond to your inquiry within the promised time Review S2C2 [Promise + Redress] • If any of the promises regarding assignments (A), projects (P), quizzes (Q) and exams (E) contained herein are not fulfilled
I could do this on a test I cannot do this Q No. Learning Objectives 1 ≠ Be able to differentiate between “statistics” (numbers) versus “statistics” (field of) 15 3 0 2 ≠ Discuss the concept of variation o Sampling variation o Measurement variation 8 9 1 3 ≠ Discuss the definitions of sampling unit, population, sampling
visualization is the determination of the airspeed or flow rate in the ductmodel. The airspeeds are too small for the normal wind tunnel measurement system whichmakes use of the pressure drop in the wind tunnel converging section resulting from theBernoulli effect. An indirect method is possible, by measuring the volumetric flow rate supplied Page 14.208.7to the rake manifold from the smoke generation system. If the total volumetric flow rate of aircontaining smoke is Q, then the average discharge velocity from N identical rake tubes will be U= Q/(NA), where A is the internal cross-sectional area of a single typical rake tube. Since theexit tube flow
work in small groupsaddressing fundamental, concrete issues related to the current classroom topic. Using class timefor these thought labs allows the instructor to interact with and guide the analysis as each groupbrainstorms new ideas. During the course, we carry out three thought labs: urban transportation,human genetic engineering in the military, and regulation of nanotech assembler technologies.Students present the results of their small group discussion and lead a Q&A session while theirclassmates perform a peer evaluation. These thought labs result in many novel ideas and bringforward points of view from students who tend to remain silent in a larger group, which leads toa very robust and wide-ranging discussion
on implementing a subset of JAUS on the Q robot. Attendees completed an exercise in which they developed a short LabView code that enabled JAUS communication between two computers. The RST successfully entered the JAUS performance competition event at the IGVC, winning a $500 prize.• The PCB design workshop focused on teaching attendees how to use the Mentor Graphics PADS package. Each attendee designed a simple printed circuit board, going through the schematic capture and layout phases of the development.• The Laser Rangefinding group focused its efforts on understanding, demonstrating, and preparing a Sick Model LMS-291 laser rangefinder. Their work included writing LabView drivers to handle high speed serial communication between
direct assessment in the course include weekly homework (H), weeklyquizzes (Q), midterm exam (M), final exam (F), and design project (P). The studentpopulation from the 2007-08 academic year consisted of 8 students. The Table belowshows the achievement of each student in each category, as well as the class average. Table 3: Individual student performance and class average in the five assessment categoriesStudent HW Q M F P Total %1 99 93 81 98 95 466 93.22 99 94 85 90 100 468 93.63 69 90 60 77 100 396
classes.Students indicated that S-L had a positive impact on the likelihood of their continuing inengineering (1-9 scale). In Spring 2008, 64% of 369 agreed (25% strongly); 3% disagreed; therest neutral. In the Spring 2007 post survey, 67% of 188 students agreed. In the December 2008survey with n=310 (some upper division students took the class also), 71% agreed (21%strongly); 8% disagreed. The results from this question were so positive, that the authorsthought some artifact was at work, so the order of the questions was changed between Spring2008 and December 2008. The positive result persisted and in fact increased.Some other interesting results from the Spring 2008 survey: • In response to Q 2 that service and academic course work should be
. Table 6 : Details of the Results of the Fall 2008 SSCI CT Pre-Test Q => 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 SSCI SSCI ID Scor 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 0 0 0 0 0 0 1 0 0 1 1 14 2 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 0 0 1 1 0 1 0 0 0 0 16 3 1 1 1 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 1 1 1 1 1 12 4
Pre Q#7 10 Post Q#3 Number of Students 8 6 4 2 0 0% 10% 20% 30% 40% 50% 60% 70
) = 5 3 1 9 1 4 b) 3 (2x 1) + = ( 13 x + 1) + 3 d) x+3= x+2 3 3 3 3. Utilizar una o varias ecuaciones para resolver los siguientes problemas: a) Juan ve los planos de su oficina y le encarga a Roberto colocar piso de madera, ´este le dice que costar´ a Q. 200.00 por metro cuadrado. Luego del trabajo, el total de la factura que presenta Roberto es de Q. 11,200.00. ¿Qu´e tama˜no tiene el
requirements along with the formal assignment document. Figure 1: Diagram of the Track1) The car is placed at A or B randomly based on a random value of 0 or 1 (selected by a computer random number generator) facing P or Q points so that its line sensor would not see the right angle.2) Upon a loud sound, the car moves along the black line until either B left angle or A right angle is seen depending on the starting end.3) It should ignore black crossing lines at P and Q completely.4) After the car clears both crossing lines, it should be checking for obstacles using the sonar sensor while still following the black line (which is now relatively straight) until it sees either A or B bend (90 degrees). If an
Prediction Active Copying solution 12 1% Individual thinking 70 8% Listening and taking notes 88 11% Other Active 18 2% Student answer Q 131 16% Student Ask Q 69 8% Test/ Quiz 28 3% Searching for information Passive Listening 274 33% Students
circuit at this point are to connect red, yellow and green LEDs sothat they flash in the proper sequence. The Q and Q outputs from the most-significant bit of thetwo-bit counter are used to drive the red LEDs, which must be illuminated for two consecutiveclock cycles each. The outputs from the one-hot counter are used to illuminate the yellow andgreen LEDs, which are each illuminated for one clock cycle out of four. All six LEDs areconnected between the appropriate output and the +5V power rail, so that each LED isilluminated when the corresponding output goes low. In addition, 100Ω current-limitingresistors are placed in series with the red LEDs, so that when the counter output pins are set high,the voltage remains high enough to drive the
.[10] Jovanovic V., Dean T., Considine C., Arcaute K., Katsioloudis P., Tomovic M., Stout T., Schwalm C., Michaeli J., Shen Y., “Pilot program for veterans transition to engineering fields.” Proceedings of the American Society for Engineering Education - Annual Conference, June 26-29, 2016, New Orleans, LA.[11] Palm J.W. III, “System Dynamics.” McGraw Hill[12] https://www.google.com/search?q=ship+rudder+photos&tbm=isch&tbo=u&source=univ& sa=X&ved=0ahUKEwjCj- jvuNHSAhWCMyYKHV2rB8QQsAQIGQ&biw=1417&bih=903#q=ship+rudder+photos &tbm=isch&tbs=rimg:CXxO7GGHWrnYIjhaX4XgpnP52nwDTEwfGEUojJW7LGRYH9 mTVtEkJ2Iw58yQjziHvs2VUEuO
plastic is injectedinto the mold. After 10 minutes the average temperature of the plastic is within the parameters for being injected,but the extra time is to help make the flow smoother which creates a better final product.To find the heat flux, the amount of heat that can be passed through the material can be computed using Fourier’sLaw using Q as heat flux, k as the material conductivity, and T as the temperature: 𝑑𝑑𝑑𝑑 𝑄𝑄 = −𝑘𝑘 𝑑𝑑𝑑𝑑The CFD program uses the nodes to find the (x,y,x) coordinates needed for the formula of
. Resour. Dev. Rev., vol. 6, no. 3, pp. 263–296, 2007.[24] M. M. Jameson and B. R. Fusco, “Math anxiety, math self-concept, and math self-efficacy in adult learners compared to traditional undergraduate students,” Adult Educ. Q., vol. 64, no. 4, pp. 306–322, 2014.[25] C. E. Kasworm, “Emotional challenges of adult learners in higher educaiton,” New Dir. Adult Contin. Educ., vol. 2008, no. 120, pp. 27–34, 2008.[26] M. Ambrose, S. Bridges, M, DiPietro, M., Lovett, M., Norman, How learning works. San Francisco: Jossey-Bass, A Wiley Imprint, 2010.[27] B. D. Jones, “Motivating Students to Engage in Learning : The MUSIC Model of Academic Motivation,” Int. J. Teach. Learn. High. Educ., vol. 21, no. 2, pp. 272–285, 2009.[28] M
at all joints can be determined. Thesystem equation of motion is directly obtained by the application of Lagrange’s Equation d T T V − + = Q using the generalized coordinate θ, where V is the system potential dt energy, i.e., V = 12 m 2 g r sin , T is the system kinetic energy, i.e., d 2 1 d 2 1 T = 12 + 2 I2 + 2 m 2 v2 + ( 12 m3 v3 ) , and Qθ is the generalized torque due to 2 2 I1 dt dt torques that do work, i.e., Q
, an adaptation of student-formed teams that leaves the final team- forming decision in the hands of the instructorsAll of these team-forming approaches start before the first term begins by providing studentswith project proposal descriptions, sponsor contact information, and guidelines on what toconsider when looking at potential projects (e.g. personal interest, career goals, prior experience,special skills, anticipated workload). This material allows students to start thinking about thetype of the project before classes begin. At the first class meeting, after discussing courselogistics, explaining the team-forming process, and answering questions, students attend a‘Sponsor Q&A Expo’ where they meet with sponsors of projects