% 4% 5% 4% 0% 0% 0% 0% 0% 0% 0% 2% 0% 0% 3% 0% 0% 0% Strongly Agree Neutral Disagree Strongly Strongly Agree Neutral Disagree Strongly Agree Disagree Agree Disagree (a) (b)Figure 1: Changes in participant beliefs that active learning and conceptual
- s Load C urrent + + 4 kF/N (a) Two capacitance Li-Ion battery model(b) Load voltage and load current waveforms supplied by a 270 VDC Li-Ion battery pack Page 24.378.7 Figure 7: Li-Ion battery model and associated waveforms for a 270 VDC load.HESS ConfigurationsThe following four HESS
Fig.8 illustrates microcontroller signal waveform single phase inverter. generated by simulation at (a) and by experimental at (b). The output of the H-bridge inverter is shown inFigure 9 shows the simulation and the Fig. 11 passed to the step up transformer and theexperimental results of output waveform of the output of the transformer is connected to thefull bridge single phase inverter. The output load through an LC filter to achieve the desiredvoltage of H-bridge
grade bands (90% <= A <=100%, 80% <= B < 90%, 70% <= C < 80%, F < 70%). Due to low sample sizes (from lowresponse rates per survey item), this study takes a more qualitative approach to analyzing thesurvey responses. Survey response data were grouped by grade band. Frequencies of categoricalresponse data from the surveys were totaled for each band. Standardized frequencies (proportionof code frequency for a grade band) of responses were compared between bands.8. ResultsMany different dimensions were analyzed from the survey responses. The subset of metricspresented below in Tables 1-6 focuses on several issues: (i) student attitudes about collaboration(in-person and online), (ii) student attitudes about technology in
make −1/𝜀inaccurate, or even overflow or underflow. Since the value will be used in the next iteration, byaccumulating the errors, the result can get even worse. Figure 3 (a) shows the initial pentagon in Page 24.627.8red. After six “in”s followed by six “out” operations, the result is the pentagon in blue shown inFigure 4 (b). (a) (b)Figure 3: Starting from the pentagon shown in (a), six “in”s and six “out”s are applied. (b) showsall the pentagons generated. An obvious difference between the blue final pentagon and the redinitial pentagon can be seen. (a
two; constraints; Time and budget system. Requires two Additional safety constraints. processors. mechanism needed.Embodiment DesignBased on the advantages and disadvantages, especially the time and budget requirements,Concept 2 was selected for the capstone project. A preliminary prototype was assembled inSolidworks as shown in Figure 1 (a), based on which, further evaluation checks and optimizationof the design were also conducted and the refined prototype was shown in Figure 1 (b). Whendesigning and building the prototype vehicle, many mechanical variables had to be considered toensure the
models. Question (a) addresses participants’perception of the ratio of accuracy between virtual and physical models, and question (b)addresses the ratio of effort between virtual and physical models. Question (c) has the designerconsider the number of design iterations to address the relative ratio of both effort and time ofvirtual compared to physical models. Participants use the sum of their responses to choosewhich type of prototype to create.Participants who chose virtual prototyping received a short (<5 min.) GIM software tutorial,while those choosing physical prototyping received a brief (<5 min.) demonstration of physicalconstruction with the provided materials. Each participant recorded their prototyping start andend times.Finally
! Select A A !: 199 − 424; !: 474 − 626 Select B B !: 448 − 673; !: 474 − 626 Select C C !: 696 − 921; !: 474 − 626 Select D D !: 945 − 1170; !: 474 − 626Due to the fact that the student may accidently press the wrong key or click the wrong place on apage, we monitor the events over a period of samples. Each event sample consists of n = 8events. If more than p = 25% of the sample is classified as being off-task, then the entire samplewill be classified as off-task. For example
kindof certification. Formative assessment refers to all the activities undertaken by teachers and bytheir students in assessing themselves to provide information to be used as feedback to modifyteaching and learning activities. (Black, 1998) Three main problems about assessments arepointed out in the article named “Working inside the black box: Assessment for learning in the Page 24.591.3classroom” (Black, 2004): a. the assessment methods that teachers use are not effective inpromoting good learning; b. grading practices tend to emphasize competition rather thanpersonal improvement; c. assessment feedback often has a negative impact
straight 8 hours/day, 5 days/week for 5 straight semesters.Figure 5 (a) shows a student weekly schedule and Figure 5(b) illustrates a whole schedule for atwo-year span. Students stay in college on Tuesday and Thursday from 7am to 5pm to strictlyfollow our developed curricula for each semester and work on the floor at Toyota on Monday,Wednesday and Friday. Every course for each semester is industry-driven and pre-selected for Page 24.77.7maximum preparation for advanced manufacturing. In addition, to ensure student engagement,student attendance is tracked daily and reported weekly by the engaged faculties. Absence/latearrivals/early departures are
hypotheses. Typically, these include: amount of demand per price point, cost structure, feasible distribution channel,978-1-4799-5233-5/14/$31.00 ©2014 IEEEcustomer value proposition, repeat sales rates and customer • Key Resourcesretention, preferred features and most compelling benefits. a) Core competencies: Capability and skill thatThe goal of an entrepreneur is to find a repeatable and scalable creates a competitive advantagemodel, and then execute. Execution does require a traditional b) Strategic assets: Anything rare and valuablebusiness plan, operating plans and financial forecasts to raise
beliefs about their calculus class (either a Project CALCclass or a regular calculus class). In its original form, the Project CALC survey consists of 40closed-ended 4-point Likert scale questions with response categories ranging from StronglyAgree (“A”) to Strongly Disagree (“D”). Somewhat Agree (“B”) and Somewhat Disagree (“C”)are provided as intermediate choices. Response options A through D are provided in alphabeticalorder, left to right. For the purpose of the study, we tailored the original survey in several ways. Weexpanded the scale of each question to a 7-point scale in order to provide for sufficient variabilityin responses as well as a designate a true midpoint and thus allow a neutral selection. Wechanged the A-D response
,” says Jacquelyn B. Tulloch, the executive dean of distance education andcollege services at the LeCroy center. “Very often, for better or for worse, education is theeasiest thing to let go of.”8Initial Corrective ActionsThe Department of Building Construction Management Graduate Committee examined thesituation in search of changes that might increase the program’s completion rate withoutdiminishing the rigor of the degree. As a result, the Graduate Committee decided to make theDistance Masters program a six semester program and to discontinued the use of the directed Page 24.966.4project. The added sixth (summer) semester is dedicated to a
Paper ID #10282Feasibility of interactive eTextbooks with computationally intense contentDr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, taught at Northwestern for Fall 1995, worked at Argonne National Lab, 1996-1997, Chicago State, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engineering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice Boltzmann methods for studying plasma turbulence
0.752 29.68 30.20 02.365 a IDEA Identity Exploration 0.830 3.33 3.21 8.687 ** b Experimentation/Possibilities 0.782 3.50 3.36 5.741** b Negativity/Instability 0.785 2.77 2.80 2.650 * a, b Other-Focused 0.628 2.63 2.55 5.875** a Self-Focused 0.654 3.44 3.34 3.625 ** Feeling "In-Between" 0.768 3.09 2.77 20.502 ** a, b EBAE Certainty of knowledge 0.501 4.47 4.62 0.409 Simplicity of knowledge 0.472 7.45 7.36
monthly payment to pay thisloan off in 10 years? b) If you increase your payment to $500 monthly, how many months doesit take to pay the loan off? The monthly interest rate is best entered as “=6.8%/12” in the interestrate cells (B2 and B4). Note that solving this with tables requires interpolation for both answersand repeated iterations for part b). Figure 1. Loan Payment ExampleStudents quickly learned this technique, used it to solve a wide variety of problems, and likedthis approach to solving problems. In one test, it was noticed that at any given time about onefourth of the students had a 5-button calculation showing on their computer monitor. Thisformat made calculation easy once the problem was properly set
. Boston: Academic Press, 2011.3. Bird, Robert. B.; Stewart, Warren E.; Lightfoot, Edwin N. Transport Phenomena, 2 nd edition. New York:J. Wiley, 2002.4. Borgnakke, Claus; Sonntag, Richard E. Fundamentals of Thermodynamics, 7 th edition. J. Wiley, 2008.5. Çengel, Yunus A.; Boles, Michael A. Thermodynamics an Engineering Approach, 6 th edition. NewYork: McGraw-Hill, 2008.6. Çengel, Yunus A.; Cimbala, John M.; Turner, Robert H. Fundamentals of Thermal-Fluid Science,4thedition.New York: McGraw-Hill, 2012.7. Çengel, Yunus A.; Cimbala, John M. Fluid Mechanics: Fundamentals and Applications, 2 nd. McGraw-Hill, 20108. Çengel, Yunus A.; Cimbala, John M. Fluid Mechanics Fundamentals and Applications, 3 rd edition.McGraw-Hill, 2013.9. Chi, M.T.H. (2005
to Course B, C or D, for instance. Students who experience Course B during thecompletion of Course A should better appreciate and integrate the learning objectives of bothcourses. Page 24.428.3 Page 2 of 10 Course A Learning Course B Learning Course C Learning Course D Learning Objectives Objectives Objectives Objectives Lecture Lecture Lecture Lecture Homework/Quizzes Homework/Quizzes Homework/Quizzes Homework
(AEM)-based Water Electrolysis Over the past decade it has been b realized that anionFig. 1. Mass titration curves showing extremes of catalysst surface charge. exchange membranes (AEMs) can n be used as a solid state electrolyte, enabling AEM fuel cells c and other devices.7 Based on these results, a technique was exxplored to control Compared to PEMs, the technolog gy is less developed, butthe charge on the catalyst particles. A catallyst lot with
in Fig. 1. The circuit thatthe students are intending to test, called a device-under-test (DUT – A in Fig. 1), is inserted into atest board, called the device-interface-board (DIB – B in Fig. 1). Depending on the lab, the DUTwill be a comparator, a DAC, or an ADC. The DIB contains circuits that will allow the DUT to beplaced into different configurations for different specification tests (e.g. input bias current, offsetvoltage, linearity, propagation delay, etc.). The DIB circuits may be as simple as load structures(output resistors and/or capacitors) or input resistors to gain up input current measurements, or ascomplicated as negative feedback servo-loops to force the device into a known state. Relays areactivated to change the DIB
experiments in iLabs.Mr. Isaiah Oreoluwa Boboye, Obafemi Awolowo UniversityMr. Olawale Babatunde Akinwale, Obafemi Awolowo University Olawale B. Akinwale earned his first degree at the Department of Electronic and Electrical Engineering, Obafemi Awolowo University, Ile-Ife, finishing with first class honors in 2004. He obtained his second degree from the same department in 2011. He is a lecturer at the Obafemi Awolowo University Ile-Ife in Electronic and Electrical Engineering, majoring in Instrumentation. He is also a lab developer in the OAU iLab Research Group. He developed the first reported robotic arm remote lab in Africa making use if the MIT iLab shared architecture and National Instruments LabVIEW. His interests
with data sets that were too large tosolve through eyeballing or to key into a hand calculator (i.e. don't ask the student to write aprogram to add together numbers and then give them only three number to process), b) ask forsolution to two or three versions of the problem that differed only in minor ways parametrically,to favor use of techniques such as programming where procedural reuse is easy, and c) weresituations where use of computation would be authentically better than other approaches such aslogic, commonsense reasoning, visual inspection, or lookup. The vulnerability again arises fromthe fact that autograders can't see the work the students do to get their answer, combined with aninstructor's natural inclination to give students a
interests. Table 2 shows the topic for each team.Table 2: Description of project topics explored by design teams enrolled in course Team Topic A Automated two-part-cocktail mixer B Aerobic exercise device and mobility piece for children with Duchenne Muscular Dystrophy C Heel-actuated bass drum pedal D Shoulder wearable athletic gear E Integrated home entertainment system F Wind turbine for use in resource-limited settings G Computer mouse for people with hand- and upper-limb-disabilities H Ergonomic computer mouseData CollectionIn the early part of the semester, students spent a class session learning and applying the DesignHeuristics. They were then asked to use the cards in the preliminary
carefully crafted set of interview questions wasdeveloped. The thrust of the questions remained essentially identical, with the wordingmodified slightly based on whether the interviewee was a student or a practicingprofessional. The corresponding set of interview questions for each population ofparticipants can be found in Appendices A and B. Each interview was audio recorded andthen later transcribed.Transcribed interviews were rearranged into a master file that separated each response byquestion. To separate the identity of the participant from their response, each intervieweewas given a code letter. After the data was organized, responses were first analyzed tosearch for emergent themes. The most relevant questions and the data accompanyingthem
underlie the National Academy ofEngineering’s “habits of mind”2, empathy and care. Niewoehner and Steidle (2009) suggestedone of the goals of engineering education must be to instill “habits of mind and principles ofaction that the student can portage to the circumstances of their professional lives” (p. 9).3 Theseauthors suggested habits of mind may be understood as certain intellectual virtues which include(a) intellectual humility, (b) intellectual courage, (c) intellectual empathy, (d) intellectualintegrity, (e) intellectual perseverance, (f) confidence in reason, (g) intellectual autonomy, (h)fair-mindedness, and (i) intellectual curiosity. They describe intellectual empathy as follows: Intellectual empathy is awareness of the need to
grade of A or B in Introductory they perceived their advising experiences to be. Computer Programming or a grade of A or B in Calculus Explanation System Survey (ESS): After the development II, you are more likely to receive a grade of A or B in of our advising support system we conducted a large user Introduction to Program Design and Problem Solving, study encompassing both target users of our system and the recommended course. domain experts (advisors). In our target user survey we An additional algorithm was added to later iterations of our surveyed 65 students enrolled
. Head numberone is dedicated to print a very strong ABS plastic material. The second print head would printwith a dissolvable support material –such as polyvinyl alcohol, a plastic that is dissolvable inwater. (a) (b)Figure 3. (a) Concept Sketch of the Ketos Pellet to Filament System (b) SolidWorks® renderingof Ketos Filament Extrusion SystemTwo additional print heads are also needed - one to print conductive plastic and another to print aslightly more resistive plastic so that resistors can be printed. The design team developed anovel two-motor multi-head system – currently patent pending – that will allow controlling anumber of print heads with only two motors (US Patent
reading/language research: Vol. 5, Literacy through family, community, and schoolinteraction (pp. 261-276). Greenwich, CT: JAI Press. [19] Henderson, A. T., & Berla, N. (1996). A new generation of evidence: The family is critical to studentachievement. Washington, DC: Center for Law and Education[20] Kellaghan, T., K. Sloane, B. Alvarez, and B. S. Bloom. "A process-based approach for homes." The homeenvironment and school learning: promoting parental involvement in the education of children (1993): 136-143.[21] G. Valdes, G.; Con Respeto: Bridging the Distances Between Culturally Diverse Families and Schools: AnEthnographic Portrait. Teachers College Press, 1996.[22] Clark, R (1983), Family Life and school achievement: Why poor black children
. d c a b Figure 3. Various learning resources can be called up from within the VE including but not limited to: (a) – prerecorded lecture, (b) animated video instruction for one of the experiment tasks, and (c) online lesson. The screenshot (d) presents the assessment page of the edX MIT course “Introduction to Solid State Chemistry” in that the virtual experiment has been Page 20.39.5 integrated.The v-Diffractometer and associated programs can
. Unfortunately, the instructors had no practical way ofoverseeing how specific students were distributed between the two sections. Table 2demonstrates that the control group, on average, had significantly higher grade point averages incourses completed through the summer of 2013.Table 2: Grade point averages in courses completed prior to the start of the Fall 2013semester (4.0=A, 3.0=B, 2.0=C, 1.0=D).Section Mean GPA Standard DeviationExperimental Group (n=26) 3.21 0.55Control Group (n=26) 3.42 0.38In total, 53 students enrolled in PCP I for the Fall 2013 semester: 27 in the experimental groupand 26 in the control group. One of the “experimental” students withdrew from the