reported an increase in interest in STEM and the 11th grade girlsreported an increased interest in pursuing engineering in college. The males in both 11thand 12th grade reported a decrease in STEM related fields yet rated STEM skills asenjoyable. Page 25.617.10Figure 9. The 10th grade chemistry classes were all males and indicated that they enjoyed STEMactivities after participating in the electrospinning activity. They also indicated in Q. 19 and Q. 20that they were considering pursuing a science or engineering major in college.Although the attitudes inventory was inconclusive, there was a notable change in thestudent’s comprehension and knowledge
2001-126). U.S. Department of Education, National Center for Education Statistics. Retrieved December 20, 2011, from http://nces.ed.gov/pubs2001/2001126.pdf24 Patton, M. Q. (2002). Qualitative research and evaluation methods (3rd ed.). Thousand Oaks, CA: Sage Publications.25 van Manen, M. (1990). Researching lived experience: Human science for an action sensitive pedagogy. Abany, NY: State University of New York Press.26 Säljö, R. (1997). Talk as data and practice – A critical look at phenomenographic inquiry and the appeal to experience. Higher Education Research and Development, 16(2), 173-190.27 Creswell, J. W. (1998). Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks, CA
university is helpful to enhance research ability? Page 15.523.14 14 How many credits in chemistry courses are reasonable in university?Appendix 2 Pilot Study Main StudyItems Average Q. D. Average Q. D.1-1 Knowing Chemistry 4.25 0.5 4.41 0.51-2 Measurement and unit 4.468 0.5 4.53 0.52-1 Atomic theory and structure 4.375 0.5 4.09 0.52-2 Chemical formula and nomenclature 4.468 0.5 4.37 0.52-3 Chemical Equations
.Table 4 Expert survey results in the pilot and main study Pilot Study Main Study Average Q. D. Average Q. D. Knowing Chemistry 4.25 0.5 4.41 0.5 Measurement and unit 4.468 0.5 4.53 0.5 Atomic theory and structure 4.375 0.5 4.09 0.5 Chemical formula and nomenclature 4.468 0.5 4.37 0.5 Chemical Equations 4.468 0.5 4.30 0.5 Mass and the mole of matter
gc 2 gc 2Establish SP1 on the upstream surface of the water and SP2 on the downstream surface. There isno heat added between the SPs, therefore Q 12 0 . The temperature of the water does notchange appreciably, so the internal energy (u) does not change, nor does the specific volume ofthe water (v). The pressure on both free surfaces is atmospheric pressure. Therefore the changein u (u) and flow work (pv) each cancel. Establish the reference elevation at the downstreamsurface (SP2). Therefore z2 = 0. There is a downstream velocity. Convert the 10 mph to 14.67ft/sec. Eliminating terms that either cancel or are negligible results in the following: gz V2 2
be warranted so that round off errors can be reduced when thestudent calculates normal and critical depths by iteration.An alternative method of programming the problem in Figure 1 that could result in even simplerPerl code would be to follow the summarized pseudo code shown below:1. Randomize channel dimensions and parameters2. Pick a critical depth, yc, to a hundredth of a foot that yields a flow rate as calculated from the relation Q = A(gD)½ where Q is flow rate (cfs), A is cross-sectional area (ft2), g is acceleration of gravity (32.2 ft/sec2) and D is hydraulic depth (ft).3. Randomly choose with specified probabilities a normal depth, yn, to a hundredth of a foot that is either subcritical (yn > yc), critical (yn = yc), or
consecutive blanks when moving to the right. 5. Briefly discuss how the history of classical AI is both a success and a failure. Give specific examples to support your opinions. 6a. What is overtraining in an artificial neural network? Give at least two reasons why overtraining might occur? Explain for each one how it contributes to overtraining. 6b. Explain why each of the following might occur for a neural network. ̇" low training error with low validation error ̇" low training error with high validation error ̇" high training and validation error 7. An ANN is being trained to differentiate between the letters P and Q. A database of handwriting samples of the letters is being collected to train
.) (q) quantify and justify the financial impact of product and process 2. To improve the level of achievement of the following Program Outcomes. development and improvement (Note: Letters correlate with POs in ABET Self-Study Document.) (r) organize and use a project implementation plan None --- 1st year committed to defining current state of achievement of POs. (s) facilitate multidisciplinary group to accomplish q & r
above.void checkQueue ( Node* Front ){}// (4) Complete the definition of the function to insert a new data element into the queue.// The function should return true if the operation is completed and false if it cannot be completed.// (5) Complete the definition of the function to reset a queue Q by returning all of its nodes to// heap storage and setting F and R to NULL.void reset ( Node* &F, Node* &R){}int main (){ cout << "\n*** Lab Exam 3: queue1 ***\n"; // (2) Write declaration and assignment statements in the main program to build the data // structure shown above containing the integers 52, 79, 35, 44. // (3) Demonstrate the checkQueue function. // (4) Write and demonstrate a function to insert a new integer into
provides a readout of torqueexerted by the air motor, and its rotational speed. This power is used to rotate a gear pump which pumps water froma tank, through a flow meter and a valve, and then back to the tank. air inlet p0 Q T1 p1 torque meter p4 T4 Q tachometer air motor water T2 p2 gear p3
provides a readout of torqueexerted by the air motor, and its rotational speed. This power is used to rotate a gear pump which pumps water froma tank, through a flow meter and a valve, and then back to the tank. air inlet p0 Q T1 p1 torque meter p4 T4 Q tachometer air motor water T2 p2 gear p3
(e.g. compressor, combustor, turbine,nozzle) and applying these assumptions, the equations of mass and energy conservation and anentropy balance produce, • • ∑ min = ∑ mout • • • Vout 2 • Vin 2 Q −W = ∑m out hout + 2 − ∑ m in hin
Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering Education” Session 2793[16] B. Sukumaran, “Innovative Laboratory Experiments that Enhance Civil Engineering Design,” Proceedings ofthe 1999 Annual ASEE Conference, Charlotte, NC, Session 2315, June 20-23, 1999.[17] Q. Sun and K. Gramoll, “Internet-based Distributed Collaborative Environment for Engineering Educationand Design,” Proceedings of the 2001 Annual ASEE Conference, Albuquerque, NM, Session 2468, June 24-27,2001.[18] Q. Sun, K. Gramoll, and M. Mooney, “Self-Paced Instruction to Introduce Traffic Engineering in Virtual City(Sooner City
Q&ATechnical Instructors Peers Document Memo Up to 1 Question In lab FridayReport answers page per s due to question Friday technical questionsTwo-Minute All Instructors Persuade Presentation 2 minutesPresentation EPD160 others to NA NA tba peers attend presentati
P R E --C COLLEGE OUTREACH F R E S H M A N D E S IIG G N P R O JJE ECTS D E SIG N A R T S E N G IIN N E E R IIN NG B U S IIN NESS S E Q U E N C IIE ES SE Q U EN C ES SEQ U ENC ES C
Fall 2000 were questions by students, answers fromthe distance learning instructor, and updates or hints from the instructor.Optional chat sessions are held approximately every week. In Fall 2000, one common sessionwas usually held for both sections. Each chat session had a primary topic, usually a particularproject assignment. The chat format was strictly text-based. Using Blackboard’s CourseInfochat facility, students can access a general chat area and also submit questions using a “Q&A”area of the chat applet. The instructor responds to the questions. Questions and correspondinganswers are then made visible to all students. A transcript of the question and answer section ofthe chat session is captured and made available to
. 16 Jan 2011 .[2] Rosen, G., Silverman, J., Chauhan, A., "Connecting Artistically-Inclined K-12 Students to Physics and MathThrough Image Processing Examples,"Digital Signal Processing Workshop and 5th IEEE Signal ProcessingEducation Workshop, 2009. DSP/SPE 2009. IEEE 13th vol., no., pp.419-424, 4-7 Jan. 2009.[3] NSF GK-12 Graduate STEM Fellows in K-12 Education. 2011. 9 Jan 2011 .[4] Warter-Perez, N., Dong, J., Kang, E., Guo, H., Castillo, M., Abramyan, A., & Young, K. (2010). Strengtheningthe K-20 engineering pipeline for underrepresented minorities. Paper presented at the meeting of the AmericanSociety for Engineering Education, Louisville, KY.[5] Teach Engineering Resources for K-12. 2011. 9 Jan 2011 .[6] Q. Zhou and J. Aggarwal
. equally. Page 22.1135.14 Answers questions, Cannot answer Far exceeds Q&A but behaves improperly Meets expectations questions expectations during Q & A session D = 24 - 27 C = 28 - 31 B = 32 - 35 A = 36
paper thatpropounded the method of model formulas.1 For convenience of readers, let us take a brief over-view of how these model formulas are obtained. Basically, it starts out with the loading functionq, written in terms of singularity functions for the beam ab in Fig. 1; as follows: q = Va < x >− 1 + M a < x >− 2 − P < x − x P >− 1 + K < x − x K >− 2 − w0 < x − x w >0 w − w0 w − w0 − 1 < x − x w >1 + w1< x − u w > 0 + 1 < x − u w >1 u w − xw u w − xw (14) + m 0 < x − x m >− 1 − m 0 < x − u m > −1By integrating
theirlearning is likely due to the fact that many exam problems are similar to these examples. It isalso noteworthy that the mean rating for overarching problems was significantly lower forMechanics II. This is likely attributed to the increased complexity of the overarching problemsin the second course, as described later in the section of this paper entitled Challenges. Table 5. Student ratings of course instruments in Mechanics I and II Mean Rating Mechanics I Mechanics II Q: How well did the following contribute to your learning in this course? Fall
: University of Texas at El Paso. Retrieved from http://cahsi.cs.utep.edu/LinkClick.aspx?fileticket=lTsF-nmnN8k%3D&tabid=10211. Connally, E., Hughes-Hallett, D., Gleason, A. M., Cheifetz, P., Davidian, A., Flath, D. E., & et al. (2006). Functions modeling change - A preparation for Calculus (3rd ed.). Wiley.12. Freudenthal, E., Roy, M. K., Ogrey, A. N., and Gates, A. Q. (2009). A creatively engaging introductory course in Computer Science that gently motivates exploration of mathematical concepts. (AC 2009-2188). Proceedings of ASEE Annual Conference.13. Freudenthal, E., Roy, M. K., Ogrey, A., Magoc, T., & Siegel, A. (2010). Media Propelled Computational Thinking. Proceedings of the 41st ACM technical
to q 2 which was also pertinent to q 3)4: Yes, I think there would be an increased emphasis on simplicity and practicality.differencesin the design I think it poses an interesting dynamic of having to build someone else’s design.process This is something that can definitely occur out in industry so it gives them someknowledge real world experience on how to fit in within an existing design team. I door design however think students entering this kind of experience in academia might feelphilosophy like they are along for the ride and not really included in any of the decision making processes. To a small degree I would expect them to be
. It is hoped that aconsideration of the kinds of complexity described in this paper with provide reasons to integratethis practice into student experiences while they are in school.i Shannon Flumerfelt, Gary Halada, and Franz-Josef Kahlen, “Complexity By Design.” Mechanical Engineering,134 (2012): 28-33.ii Louis J. Thibodeaux, Kalliat T. Valsaraj, Vijay T. John, “Marine Oil Fate: Knowledge Gaps, Basic Research, andDevelopment Needs; A Perspective Based on the Deepwater Horizon Oil Spill,” Environmental EngineeringScience 28:2 (2011) 87-93.iii Oxford Dictionary on-line: http://oxforddictionaries.com/definition/complex?q=complex
0.82 0. 0.02 N cos α 0.82 cos 8 N C = C cos α = = x 4 . 44 = 0.46 L N q S 1500 ( 0 . 0052 ) lb ∞ N cos α 0.02 cos 0 N C = C cos α = = x 4 . 44 = 0.01 L N q S 1500 ( 0 . 0052 ) lb ∞ Comparison between analysis
the same opportunity to learn. Teaching indicator (T) The questions in this category were asked of the tutors exclusively. A quality tutorial is one where teaching students is considered satisfying. Tutors should feel that all students are obtaining the help they require. Demand for a tutorial method was expected to be higher if less time was needed to carry out the administrative tasks of preparing for and marking the tutorials. Overall Quality One question directly asked about the quality of each tutorial - “Rank the quality of each tutorial method”. indicator (O) Total Quality (Q), The measure of total quality was the additive scores of each of the
, demonstrates technol- ogy and tools, identifies common pitfalls, and articulates deliverables. As illustrated in Figure 8b, 76.5% of the students from both institutions positively confirm the effectiveness of presentations and videos. Finally, to address students’ concerns about timely feedback, we use the chat feature of Slack chatbot 36 and Zoom 37 to facilitate Q&A sessions. Because of these efforts, we kept students’ satisfaction consistent during and after the Pandemic. 7 Reflections and Future work After conducting a 5-year pedagogic project, we have gained valuable insights from both students and faculty in cybersecurity. In the following, we have compiled a list of lessons learned and recommendations for researchers and educators.• Does
, Goldman E, Eagle KA, Crawford TC. , "Pacemaker recycling: A notion whose time has come," World J Cardiol, vol. 9(4), pp. 296-303, 2017.[12] M. Landolina et al., "The economic impact of battery longevity in implantable cardioverter-defibrillators for cardiac resynchronization therapy: the hospital and healthcare system perspectives," EP Europace, vol. 19, no. 8, pp. 1349-1356, 2016.[13] Y. Quan, X. Wu, S. Zhu, X. Zeng, Z. Zeng, and Q. Zheng, "Triboelectric nanogenerators for clinical diagnosis and therapy: A report of recent progress," Medicine in Novel Technology and Devices, vol. 16, p. 100195, 2022/12/01/ 2022.[14] H.-J. Yoon and S.-W. Kim, "Nanogenerators to Power Implantable Medical Systems," Joule, vol. 4
5 shows the frequency of human rating scores for the mental model dimensions, andFigure 6 shows the frequency of human rating scores for the mental model uses. The color ineach plot corresponds to temperature values. The rows of plots correspond to the model’srankings of the questions (i.e., top choice, second choice, and third choice). For example, “QRanking 1” was all the questions that the model ranked highest, “Q Ranking 2” was all thequestions that the model ranked second highest, and “Q Ranking 3” was all the questions rankedthird highest. Looking at the questions in this way illustrates our main findings. First, themodel’s rankings were not necessarily aligned with the human’s rankings. Second, thetemperature did not produce any
note on higher education," Cambridge Journal of Education, vol. 41, no. 1, pp. 23-36, 2011.[5] A. Sen, Equality of what? In: McMurrin S Tanner Lectures on Human Values. Cambridge: Cambridge University Press, 1980.[6] A. Sen, Development as Freedom. Oxford: Oxford University Press, 1999.[7] D. Crocker and I. Robeyns, Capability and Agency. Cambridge: Cambridge University Press, 2009.[8] M. Walker, "Imagining STEM higher education futures: advancing human well-being," Higher education, vol. 70, no. 3, pp. 417-425, 2015.[9] Q. Liu, D. Turner, and X. Jing, "The “Double First-Class Initiative” in China: Background, Implementation, and Potential Problems," Beijing International Review of Education, vol. 1, pp