, 2010.[13] F. Parkin, Marxism and Class Theory: A Bourgeois Critique. Landon, UK: Tavistock, 1979.[14] M. Saks, “Defining a profession: The role of knowledge and expertise,” Professions &Professionalism, vol. 2, no. 1, pp. 1-10, 2012.[15] B. S. Bloom, M. D. Englehart, E. J. Furst, and E. J. Krathwohl, Taxonomy of EducationalObjectives, the Classification of Educational Goals, Handbook I: Cognitive Domain. New York,NY: David McKay, 1956.[16] L. W. Anderson and D. R. Krathwohl, A Taxonomy for Learning, Teaching, and Assessing:A Revision of Bloom’s Taxonomy of Educational Objectives. New York, NY: Longman, 2001.[17] K. J. Fridley, D. B. Hains, L. Nolen, B. E. Barry, and B. L. Hartmann, “Is it time for a thirdedition of the civil engineering
the notes correctly through a monitor [12]. The recorded videos are embeddedin the interactive mobile apps (see the following section for details) developed particular for thiscourse as shown in Fig. 1, and they are accessible to students through their smart portabledevices (e.g. smartphone and tablets) anywhere at any time. a) Help App – Videos b) Recorded Review Video – Learning Glass Figure 1. Recorded Review VideosVirtual Office Hours - It is not unusual that students do not make full use of the office hoursuntil quizzes and exams. Reasons they typically provided were either too much trouble to cometo campus only to ask a few questions or the time conflict with other scheduled
, it was seen as the best option. A heat-reflective layer was also attached to the interior ofthe walls. Inside the drying space, we installed 2 shelves made of a coated mesh framed with cedarwood. A nickel-chrome wire powered by a 12 volt battery acted as a heating source. Internaltemperature was measured and regulated with a thermocouple and a controller, respectively. (a) (b) Figure 2 the Final Design for the Dryer, (a) Design Assembly, and (b) Explosion View of Assembly3.5 Analyze the designThe engineering analysis was conducted from three aspects: 1) structural analysis, 2) flow analysisin the NX CAE environment, and 3) cost analysis for the prototype
questions to the instructor, engagement as shown in Table 2, and Figure 1. (a) (b) Figure 1. In-Class Work Submission for Semester I-Traditional classroom teaching (a) Number of Students Submission, (b) Student engagement percentage3.2 Semester II – Active LearningIntroduction of active learning, showed a considerable increase in student engagement up to82.5 % as shown in Table 2, and Figure 2, against 71.4 % in traditional classroom teaching.Students’ active participation established that, they learn in classroom via their discussion andexchange of questions with peers, teams and the instructor, while solving problems
. are specifically addressed. A. Evidence-based A. Evidence-based A. Evidence-based strategies are described strategies are described strategies are not and appear to be well- but do not appear to be described. aligned with well-aligned with B. Neither research institutional/program institutional/program questions nor Intellectual needs. needs. hypotheses are included. Merit B. Research questions are B. Research
from A to B Dropped to pick up Trial 1 10 2 3 Trial 2 8 4 3 Trial 3 8 4 3 Trial 4 10 2 3 Trial 5 11 1 3 Table 2: Grip Precision Test 1 - Stacking Washers (Standard Prosthetic Hand) Washers moved Washers Washers failed to from A to B Dropped pick up Trial 1 9 3 3 Trial 2 10 2 3 Trial 3 10
infrastructure. In this study, survey find-ings were used to address the following research questions: 1. What are civil engineering students’ views on: a. The most and least important infrastructure components? b. Impact of infrastructure revitalization on their future careers? c. Current condition of the infrastructure? d. Willingness to consider non-traditional solutions to infrastructure challenges? 2. Are there regional differences in students’ views of infrastructure (comparing students in the Northeast, Southeast, Midwest, Southwest, and West)? 3. Are there gender differences in students’ views of infrastructure? 4. How do students’ views of infrastructure change as they progress through civil engineer
sufficientquality and intensity to influence intended outcomes. The process data were collected throughproject documents, attendance logs, a site visit with observations and interviews of anafterschool activity, and participant surveys. Post-, or end-of-program, surveys with students,mentors, teachers and parents also included formative items designed to inform next year’sprogram development. To assess program outcomes, ARS employed a number of measures (such as those forstudent interests and self-efficacy) and evaluation activities (such as those for student learningoutcomes) across the four participating schools and between the two different interventions (a,traditional new venture creation approach; and b, Lean Startup approach), including survey
specific data collectiontools. Two threats to the validity of the data collected by using the think aloud method are; (a)incompleteness due to synchronization problems and (b) invalidity due to problems with workingmemory. Thinking aloud takes place concurrently with the cognitive process, hence a cognitiveprocess takes longer when think aloud method is used. For example, subjects frequently reportthat sometimes verbalization does not keep up with the cognitive process and that their thoughtprocesses may look incomplete or contains “holes” of which it is necessary to assume that anintermediate thought occurred here. The second reason states that “if the task is non-verbal andcomplicated, then verbalization will not only cost time but also space in
Committee in the Assessment and ContinuousImprovement Process of Engineering Technology Programs," Conference for Industry andEducation Collaboration, ASEE, February 4-6, 2009, Orlando, Florida.[3] A. Cabrera, J. Weerts and B. Zulick, "Alumni Survey: Three conceptualizations to alumniresearch," presented at Métodos de Análisis de la inserción laboral de los universitarios,Universidad de León, Spain, 2003.[4] M. Hora, M. Wolfgram, and S. Thompson, "What do we know about the impact ofinternships on student outcomes?" research brief, Center for Research on College to WorkforceTransitions (CCWT), Univ. Wisconsin-Medison.[5] D. Wilson, "Training vs. education," American Printer, Vol.127, Issue 7, 2010.[6] D. Allenby, "Class-Exodus", Retrieved Jan. 20
, the facilitator marked the surveysof those who participated in the trivia game activity with a stamp unique to the version of theintervention that they completed. 3 Engineering Problem Possible Solutions Scientist/Engineer who Discovered/Created Solution Problem statement 1 Solution A Female A Female B Female C Solution B
File Systems” representsomewhat limited knowledge bases. Linux configuration files, automatic program startup, and Linuxscripting are contextually in proximity to one another. Each speaks to the "unobserved" way in which aLinux Developer gets useful work done. The number of configuration files discussed in this work issmall.In Table 3, two "knowledge-based" skills necessary for project completion are not class contentmaterial. Hidden from the student is specialized preparation work on the master eMMC memorymodules (Figure 1 shows an eMMC module plugged into the Odroid). The module preparation is: a) Install the Linux distribution. It is an “inflate and install” process. b) Add specialized software applications needed
. The composition of this virtual prototype began with the constructionof the 3D CAD model, including constructing (a) the framing of the vending system, (b) “PickerAssembly” for X-Y axis product acquisition, (c) “pusher assembly” for Z-axis product acquisition,(d) functional architecture, and (e) final assembly of product vending VP, respectively (as shownin Figure 2). Cost effectiveness and strength were paramount, and alloy steel was chosen for itscomposition. The extensive use of aluminum was chosen for these components because 6061-T6aluminum possesses high strength properties but also low weight. This was an importantconsideration for the shelving because higher weight would have put higher stress on the fastenersused to mount the shelves
. (a) 2016 Participants (b) 2017 ParticipantsFigure 1. Group picture of STEM_SEP workshop participantsProgram staff included 11 faculty members and three student assistants: two undergraduates andone graduate student. Each session instructor met with the student assistants for two-four hoursprior to the workshop to train the assistants to ensure adequate was available.Pre- and Post- AssessmentAfter reviewing the participant evaluations and discussions from the first year’s workshop, wedecided to administer a pre- and post-program learning assessment. Several factors went into thedesign of this tool. It needed to be “short and sweet” since we did not want it to feel like a test tothe participants. The
be twice the carrierfrequency, fc plus the information bandwidth, W if direct sampling is attempted. Finding anADC that samples at twice 1000MHz would still be a difficult task at the present time. AnalogDevices (AD9208) sells a 14-bit ADC with Fs = 3Gsps, but at a cost of over $1,300. ADCs thathave 14 to16 bits and operate in at tens of Msps cost approximately $10. An 8-bit, 30Msps ADCcan be purchased for less than $3. (a) (b) Fig. 3. (a) AM signal, (b) demodulated baseband signal, using an envelope detector.Unfortunately for the near future, directly sampling GHz-RF signals or even hundreds of MHzsignals, without ambiguous aliasing, will simply not be feasible without
sciences. Oral literacy requirements: a. Students should learn preparation, delivery, organization, listening, logic, clarity, and the rhetorical elements involved in persuasion. b. Students should learn how to construct non-fallacious verbal arguments, recognize fallacious arguments, and be able to understand the verbal arguments of others. c. Students should be able to communicate an understanding of pertinent issue(s) related to the course. General Education topical breadth requirements: a. Arts and Humanities: students should learn significant intellectual traditions, cultural achievements and historical processes. b. Social Sciences: students should learn the individual
Differential Calculus) offered for part-time students during the first semester of 2017.This section was comprised of 15 students from different specializations within engineering and itis offered in a suitable schedule (during evenings) for part-time students.GL - TBLIn order to implement the GL-TBL, we created groups of five students which we formed takinginto account the following characteristics: a. Academic profile (measured using a diagnostic test [14]) b. Gender c. Age d. Years of enrollment in the university (some students may have been held back in the course)In GL-TBL, group formation is crucial. This methodology requires that the students workinteractively, with a common goal: to learn while helping other students in their
women of color in science, technology, engineering, and mathematics,” Harvard Educational Review, vol. 81 no. 2, pp. 172–208, 2011.4. M. A. Beasley, and M. J. Fischer, “Why they leave: The impact of stereotype threat on the attrition of women and minorities from science, math and engineering majors,” Social Psychology of Education, vol. 15 no. 4, pp. 427–448, 2012.5. J. C. Blickenstaff, “Women and science careers: Leaky pipeline or gender filter?” Gender and Education, vol. 17 no. 4, pp. 369–386, 2005.6. M. Ong, J. M. Smith, and L. T. Ko, “Counterspaces for women of color in STEM higher education: Marginal and central spaces for persistence and success,” Journal of Research in Science Teaching, vol. 9999 no. 0, pp. 1–40, 2017.7. B
real-life devices 𝑛 > 1. 𝐼𝑆 is the calculated reverse saturation current forthe chosen simulation temperature T and 𝑇𝑆𝑇𝐶 refers to 25°C or 298K. 𝐸𝑔 is the bandgap energy ofthe semiconductor, for Si, it is 1.1 eV at STC. k is the Boltzmann constant (1.38×10-23 J/K) and 𝐾𝐼is the temperature coefficient of short-circuit current, which is +4.575 mA/K for the chose cell.To study the effect of irradiance, the illumination intensity was varied from 200W/m2 to 1000W/m2 with an increment of 200W/m2. The simulated I-V and P-V curves are shown in Fig. 4. (a) (b) Figure 4. Simulated (a) I-V, and (b) P-V curves of the solar cell at varying
methods of instruction are used – a) blended, b) flipped, and c) flipped with adaptive lessons? Are differences evident for underrepresented minorities, females, community college transfers, and Pell Grant recipients? 2) Do students’ perceptions of the classroom environment differ when using these different instructional methods for numerical methods? What are students’ perceptions of flipped- classroom adaptive learning, and are there differences by demographic groups?MethodsTo enhance the pre-class preparation needed for the flipped classroom, the instructor developedadaptive lessons using the Smart Sparrow software platform for a course in numerical methods.With Smart Sparrow, students had a personalized preparation
experimental results. L3-The students shall be able to “design” an experimental procedure to collect the data necessary to achieve experimental Experimentation 2-3 objectives. L4-The students shall be able to use computer based computational tools such as EXCEL to find graphical, Tools 1-4 numerical, statistical, and analytic solutions to problems. L5-The students shall individually be able to function effectively on teams by acting cooperatively and honoring Teamwork 5 individual commitments to the team when engaged in group projects. L6 (a-b)-The students will be able to demonstrate effective communications by delivering
of South Carolina University Libraries, Library Workshops: Data Management Planning and DMPTool. 2018 [cited 2018 3/14/2018]; Available from: http://guides.library.sc.edu/c.php?g=410310&p=5036248.20. McLure, M., A.V. Level, C.L. Crabston, B. Oehlerts, and M. Culbertson, Data Curation: A Study of Researcher Practices and Needs. Portal: Libraries and the Academy, 2014. 14(2): p. 139-164.
engineering (b) an ability to design and conduct experiments, as well as to analyze and interpret data (c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability (d) an ability to function on multidisciplinary teams (e) an ability to identify, formulate, and solve engineering problems (f) an understanding of professional and ethical responsibility (g) an ability to communicate effectively (h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context (i) a
with phase measurements, phasor calculations, and superposition usingonly three resistors in addition to the source.Assessment of Phase Shifting Voltage Source Learning OutcomesStudents were assessed on their understanding of phasors and superposition via laboratory write-ups at the conclusion of their experiments. Results were: A. “Perfect Understanding”: Students were able to perform precise measurements of voltage amplitudes and phases, compare to theoretical results, and thoroughly explain, through mathematical analysis, their results. – 50% B. “Excellent Understanding”: Students were able to perform precise measurements of voltage amplitudes and phases, compare to theoretical results, and offer some
. [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
submitted, the students participated in a three-hour peer-review session during which the course instructors gave short (30 min) tutorials on the peerreview process and elements of good technical reports (Week 5). Students formed pairs andreviewed each other's reports. A formative, rather than summative, rubric focused on evaluatingthe writing (Appendix B) was given to the student reviewers to fill out, including criteria such asgenre convention (structure and organization), coherence, multimodal components (figures andtables), and credibility (references). Students then exchanged their reviews and discussed witheach other their questions and comments. Many students engaged in extensive discussions aboutthe technical content of the reports as well
, “Collaborative research: NSF INCLUDES: An integrated approach to retain underrepresented minority students in stem disciplines.,” in INCLUDES PI Meeting, 2017.[27] M. Brewer, N. Sochacka, and J. Walther, “Into the Pipeline: A freshman student’s experiences of stories told about engineering,” in American Society for Engineering Education Annual Conference, 2015.[28] B. Arao and K. Clemens, “From Safe Spaces to Brave Spaces: A New Way to Frame Dialogue Around Diversity and Social Justice,” in The Art of Effective Facilitation, Stylus Publishing, LLC, 2013.[29] B. D. Tatum, “Why Are All the Black Kids Sitting Together in the Cafeteria?” And Other Conversations About Race, vol. 64, no. 2. Basic Books, 1997.[30] B. A. Nagda
school career - meaning that freshmen don’t havesignificantly more enthusiasm for these subjects than seniors, or vice versa. When asked ifstudents were interested in STEM courses (in general), 80% of male students answered that theyhave some interest in STEM courses, compared to only 60% of female students. Charts 1a and 1b: Data for male and female responders related to the following survey question:Please select which of the following BEST describes how you feel about STEM-related electives (such as Engineering, ComputerHardware, etc.) a. Those classes sound interesting. b. Those classes sound pretty interesting, but I don't think I'm smart enough to do well in them. c. Those classes
Engineering Programs, 2018 – 2019 | ABET. N.p., Apr. 2017. Web. 02 Feb. 2018.2. Kai, J. C., & Turpin, A. “Improving Students' Technical Writing Skills: Abstracts in Introductory Solid Mechanics.” Proceedings of the ASEE Annual Conference & Exposition (2015), Seattle, WA.3. Trellinger, N. M., Essig, R. R., Troy, C. D., Jesiek, B. K., & Boyd, J. “Something to Write Home(work) About: An Analysis of Writing Exercises in Fluid Mechanics Textbooks.” Proceedings of the ASEE Annual Conference & Exposition (2015), Seattle, WA.4. Timmerman, B. E. C., Strickland, D. C., Johnson, R. L., & Payne, J. R. “Development of a ‘universal’ rubric for assessing undergraduates’ scientific reasoning skills using scientific writing
select a math operation (either addition or subtraction).Next, they could enter the second number in a similar fashion. Immediately after that, they placedthe robot at 0 on the number line. Then, the robot would start to move and stop at the pointcorresponding to the answer of the math equation entered by the students. For example, input of4 ‒ 6 would make the robot stop at ‒2. Figure 2(a) shows a student implementing the lesson in theclassroom. (a) (b) Figure 2: (a) The number line lesson and (b) LCM lesson being implemented with robots in classrooms.3.2. LCM: The least common multiple (LCM) is another fundamental mathematical concept