lights flash the same color: RR and GG with equal frequency but RG and GRnever occur.Case b) In those runs in which the switches end up with different settings (12, 13, 21, 23, 31, or32) Alice and Bob observe their detectors flash the same color only a quarter of the time (RR andGG occurring with equal frequency); the other three quarters of the time the detectors flashdifferent colors (RG and GR occurring with equal frequency).How can these results be explained? Mermin cleverly argues that the only way to explain theresults is to infer that whatever is travelling from the transmitter to the receiver must contain “aninstruction set” based on some physical property (or element of physical reality)6 to tell thereceiver which light to flash for a
appendix B). π2 2 π2 2 Equantum dot = + + Eg (2) 2me R2 2mh R2 Eq. 2. The energy of a quantum dot[11]where for the quantum dots the electron mass me = 7.29 × 10−32 kg, the hole massmh = 5.47 × 10−31 kg and the gap energy Eg = 1.34 eV [11]. To ensure the studentunderstands where these terms come from they will read a brief explaination aboutsemiconductors, since quantum dots are just tiny semiconductors that take on some of thesame special properties of atoms because of their size.After reading about semiconductors the student should now have a
. His main research areas are a) models and modeling, b) learning environments and c) problem solving. c American Society for Engineering Education, 2018 Towards a full integration of physics and math concepts: A path full of trapsAbstractBoth mathematics and physics concepts have been closely interrelated since their formalbeginnings in ancient times. Moreover, from a historical perspective, it is possible to identifyhow physics advanced as more complex mathematical ideas were available. In fact, it is hard toseparate them either in or outside a classroom. However, in the classroom there are manyinstances that the teaching of one subject obstructs or creates barriers for the other. After fiveyears of teaching
) (b) (c) (d) (e) (f) (g) (h) (i)Fig.1 (a-i): Shows the independent classroom survey results for section 1 (learning outcomes)during the fall 2016 and fall 2017.Newton’s laws in section 4 (Fig.1d) rated as above average by 55% of students in 2017, 7% lessthan the previous year. In both years, 30% of the students voted below average for mechanicalequilibrium (Fig.1e). “Work energy theorem” reported as above average by 29% of the class in2016 (Fig.1f) and 50% in 2017.Section 8, rigid body rotation (Fig.1h) received a lowest rating of 19% in 2016 and 25% in 2017.At the same time, it
Paper ID #21367Innovative Energy Elevator: a Physics and Engineering Wonder!Prof. Bala Maheswaran, Northeastern University Bala Maheswaran, PhD Northeastern University 367 Snell Engineering Center Boston, MA 02115Mr. Cristian Scott Stransky, Northeastern University Computer science and computer engineering student enrolled in Northeastern, graduating 2020.Dr. Haridas Kumarakuru, Northeastern University Department of Physics, College of Science, 100 Forsyth street, Boston, MA 02115 E.Mail: h.kumarakuru@neu.edu c American Society for Engineering Education, 2018 Innovative Energy Elevator: A Physics and
to serve as a springboard for additional, future studies, testingthe wording of the questions and the statistical techniques to be used for analysis of the data.Thus, changes were made to certain pilot study questions given the feedback provided from thepilot study participants as well as based on preliminary results obtained. These modifications arepresented in their entirety in Appendix B and are highlighted in the subsections that follow.Modifications to Section 1: Demographic SurveyQuestion 2 in Section 1 was revised to clearly define what qualifications classify a participantbased on their year of study. Under each choice for a participants’ year at American University,the number of credits classified under each year were added to
. [9] discusses parasiticcapacitances in RF coils, and Massarini [9] describes parasitic capacitance in power circuits.Cohen [11] and Clark [12] discussed the effects of frequency on the inductance and resistance ofsolenoid (i.e. iron core) coils.Experimental procedure and resultsThe following equipment is used for the experimental procedure: (a) Tenma model # 72-10465LCR meter, (b) Agilent DSO-X-4164A O-Scope, (c) Agilent model 33220A Waveformgenerator, and (d) Agilent 9912A portable RF Analyzer. The equipment and measurementsetups are shown in the Appendix.In order to confirm their stated values and provide a benchmark, the Tenma LCR meter functionsto measure the values of the various resistors, inductors and capacitors used in our
projects forbeginning undergraduates in the life sciences; an emphasis on the importance of reproducibilityand extension of scientific research using peer-reviewed journal articles as case studies; andtraining in reading and writing scientific articles that build upon existing concepts in theundergraduate curriculum. The weaknesses in the model stem from the narrow scale of theseprojects that preclude working in research teams, and the difficulty of extending the research intothe scholarship of discovery.References1 Noah, B. A., “The participation of underrepresented minorities in clinical research”, AmericanJournal of Law & Medicine 29, 221-245 (2003)2 NIH ACD Working Group on Diversity in the Biomedical Research Workforce, available online
Physics 0.0% 20.0% 40.0% 60.0% 80.0% 100.0% NA Disagree Neutral Agree Figure 5. Distribution of students answers to the three self-efficacy statements. The figure swhos disagreement/neutral/agreement for a) SE1, b) SE2 and c) SE3 according to their first-choice subject.From students who answered the survey, those who chose physics as their first choice agreemore for the three self-efficacy statements. For SE1“I am very good at physics”, and SE3 “Inphysics class, my grades are better than those of my classmates,” students who selected the exactsciences (mathematics and
III and M. A. McDaniel, Make It Stick, Cambridge, Massachusetts: The Belknap Press of Harvard University Press, 2014.[7] B. S. Bloom, Taxonomy of Educational Objectives, Handbook 1: Cognitive Domain, New York: Addison-Wesley Longman Ltd, 1956.[8] M. Hill, M. Sharma and H. Johnston, "How online learning modules can improve the representational fluency and conceptual understanding of university physics students," European Journal of Physics, vol. 36, no. 4, p. 045019, 2015.[9] J. C. Moore, "Efficacy of Multimedia Learning Modules as Preparation for Lecture-Based Tutorials in Electromagnetism," Education Sciences, vol. 8, no. 1, p. 23, 2018.[10] D. S. Goodman, F. J. Rueckert and J. O'Brien, "Initial Steps Toward a study on the
Paper ID #22391Problem Design in HomeworkProf. Yumin Zhang, Southeast Missouri State University Yumin Zhang is an associate professor in the Department of Physics and Engineering Physics, Southeast Missouri State University. His academic career started in China; in 1989 he obtained master’s degree on Physics from Zhejiang University and then was employed as technical staff in the Institute of Semi- conductors, Chinese Academy of Sciences. After receiving PhD degree on Electrical Engineering from University of Minnesota in 2000, he started to work as a faculty member in University of Wisconsin- Platteville and then in