Paper ID #18210Improvement of an International Research Experience: Year TwoBenjamin B. Wheatley, Colorado State University Benjamin Brandt Wheatley was awarded a B.Sc. degree in Engineering from Trinity College (Hartford, CT, USA) in 2011. He spent one year in industry at a biomedical device company before returning to graduate school. He is a doctoral candidate in the Department of Mechanical Engineering at Colorado State University (Fort Collins, CO, USA). His engineering education areas of interest include cultural competency, active learning approaches as they relate to software skills, and how ”soft skills” project
. Engr. Ph.D. 2011 (b) Appointments 2014-Current Assistant Professor, Texas A&M University—Kingsville 2011-2014 Post- Doctoral Fellow, University of Texas at Austin 2008-2011 Research Scientist Associates, University of c American Society for Engineering Education, 2017 Paper ID #20602Texas at Austin 2001-2008 Graduate Research Assistant, Georgia Institute of Technology 1998-2000Graduate Research Assistant, Korea University, Korea(c) Products Most closely related publication • Choi, J.-W., Duncan, I.J., and Rodin, G.J., Microcracknucleation in porous solids under predominantly compressive stress state with
. Based on the findings of the focus groups, we then designed an anonymous surveyto be sent to current TAMUQ female students (see Appendix B). 100 responses were recordedout of the 231 female engineering students, which resulted in a 43.29% response rate (seeAppendix C). The majority of the students who responded were Qatari (57%).Focus Group FindingsWhy our students chose engineering?In terms of why our students chose to study engineering, there were two main themes. Manymentioned a “passion” for fields such as mathematics or chemistry since a young age.Participants also discussed feeling the need “to prove” or “to show” something:Example 1: It’s like you want to do something different, to prove to everyone that you’re capable of
, Female Male zeros removed zeros removed (a) (b)Figure4:Studentpost-testresultsareshownin(a).Scoreswereoutof10,andthemeanandstandarddeviationareshownforcaseswith(N=118fororiginalcourseandN=182forrevisedcourse)andwithallzeroscoresremovedfromthesamples(N=97fororiginalcourseandN=179forrevisedcourse).In(b),thefinalgradesofstudentsinnewcourse(outof100%),differentiatedbygender.10.0 9.0
this is perfectly valid and very similar to what the steps in the exploded-view approach lead to, there is no explanation on why point B was the first FBD to be analyzed or how the internal forces look like for the whole system. The exploded-view, on the other hand, provides a logical, physics-based step-by-step methodology that can be used by students struggling to understand how to approach this problem.Example 2: Equilibrium of rigid bodies (2D) Determine the minimum mass m required to cause loss of contact between the wall and the uniform rod of mass M at point A. Figure 9 Equilibrium of 2D rigid body exampleExample 2 Solution: The exploded-view approach can also be utilized to solve this example
AboveisrodOA,whichisaXachedtoanotherrod,AB.AssumethatrodABisstrong enoughandnotpartoftheproblem.RodOAhasadiameterof4cm.AforceF=1000N isappliedinthe–xdirec=onattheendoftherodOA,andaforceP=500Nisappliedin the–ydirec=onatpointB.AssumethatrodOAismadeofaduc=lemetal,andisfixed toawallonthele_side.PointOisonthetopoftherodintheXZplane. 1)ArethereanybendingmomentsortorquespresentatpointO?Chooseallthatapply. A)NotorqueF)Abendingmomentof-250N*m B)NobendingmomentG)Atorqueof500N*m C)Atorqueof50N*mH)Abendingmomentof-500N*m D)Abendingmomentof-50N*mI)Atorqueof100N*m E)Atorqueof-250N*mJ
and Col- leges; ”Building Learning Communities to Improve Student Achievement: Albany City School District” , and ”Educational Leadership Program Enhancement Project at Syracuse University” Teacher Leadership Quality Program. She is also the PI on both ”Syracuse City School District Title II B Mathematics and Science Partnership: Science Project and Mathematics MSP Grant initiatives.Dr. Mohamed F. Chouikha, Howard University Dr. Mohamed Chouikha is a professor and chair of the Department of Electrical and Computer Engineer- ing at Howard University. He received his M.S. and Ph.D. in Electrical Engineering from the University c American Society for Engineering Education, 2017
industrial engineering. b An ability to select and apply a knowledge of mathematics, science, engineering, and technology to problems that require the application of principles and applied procedures or methodologies. c An ability to conduct standard tests and measurements; to conduct, analyze, and interpret experiments, and to apply experimental results to improve processes. d An ability to apply creativity in the design of systems, components or processes appropriate to the program objectives. e An ability to function effectively as a member or leader on a
designed toprovide an interesting impetus for learners to engage in the process of pulling and evaluating relevantinformation in context of 21st century technical challenges. The scenarios are derived from current dominanttrends in science and engineering, such as the future of transport, future of making, cybersecurity, Internetof Things (IoT), synthetic biology, and the push for sustainable energy. a) b)Figure 1: The a) Knovel and b) EngineeringVillage are complementary knowledge discovery platforms. Knovel provides accessto electronic books, material properties, interactive equations whereas EngineeringVillage indexes across twelve engineeringdatabases containing the latest research and intellectual property content. Both
teaching tool to teach concepts inductively, it results in aninductive teaching scenario; when students interact with the tool and use it as a learning tool tolearn concepts inductively, it results in an inductive learning scenario. The purpose of this studyis to evaluate the effectiveness of the VR simulation when used in inductive teaching vs.inductive learning scenarios.Choice of concepts and inductive approachThis study required the development of a VR simulation that (a) aided inductive learning of fluidmechanics concepts and (b) was capable of being used as a teaching tool (in an inductiveteaching scenario) as well as a learning tool (in an inductive learning scenario). Hence the fluidmechanics concepts to be covered and the inductive
engineeringeducation. They are an important way to assess how well the students have learnt the theoreticalmaterial and how skillfully they can apply it to real life situations. At Rowan University aMaterial and Manufacturing course is offered every spring semester. For the Spring 2015semester a hands-on lab component on material testing was conducted while for Spring 2016 asoftware simulation based project was assigned. The objective was to assess a key pedagogicalparameter “achievement of ABET student outcomes”, focusing mainly on (a) an ability to designand conduct experiments, as well as to analyze and interpret data, (b) an ability to design asystem, component, or process to meet desired needs within realistic constraints and (c) anability to communicate
space for a particular problem, they are presentedwith the list of attributes in Table 1 in a format similar to that shown in Figure 3. Definitely Not Probably Not Definitely Probably Maybe [Competition] Does the product need to sufficiently differentiate itself from the competition in order to achieve an acceptable market share? B-1 There are many similar products that are
Percentage Had to Retake Course Phase 1 34 596 5.7% Semester A* 123 573 21.5% Semester B* 135 530 25.5% *Two semesters prior to redesignA total of 224 students responded to the end of semester survey. There were no significant differencesseen between students based on the demographics of gender, race, or ethnicity (p = 0.05. unpaired t-testfor gender, one-way ANOVA for race and ethnicity). However, there were significant differences seenbetween students who had programmed before IPC and those who had not (unpaired t-test, p = 0.05
considered for the capacitance of C1 and C3 capacitors.5% tolerance is considered for the resistance of R2, R3 and R4 resistors.Finally, 10% tolerance is considered for the capacitance of C2 capacitors. Figure 12 Multisim Simulation with added tolerances.With the tolerances included, the simulation is conducted again. The results are obtained andsummarized in table 6. Table 6 Improvement of Multisim SimulationAs a result of the added tolerances, a significantly large improvement has been observed with thepercentage of error.Design of Power Supply CasingThe prototype circuit needs to be placed in a housing for permanent operation. Figure 13 (a) and(b) show the front and back view of the solid model of
addressdiverse needs of students.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.DUE 1244700.Bibliography[1] Gray, L. G., Costanzo, F., Evans, D., Cornwell, P., Self, B., and Lane, J. L., 2005, “The Dynamics Concept Inventory Assessment Test: A Progress Report and Some Results,” Proceedings of the 2005 ASEE Annual Conference & Exposition, Portland, OR, June 12-15, 2005.[2] Hibbeler, R. C., 2015, Engineering Mechanics Dynamics (14th edition), Pearson Prentice Hall, Upper Saddle River, NJ.[3] Flori, R. E., Koen, M. A., and Oglesby, D. B., 1996, “Basic Engineering Software for Teaching (BEST) Dynamics,” Journal of Engineering Education, 85, pp. 61-67.[4
0.513 Q8 0.334 0.550 Q9 0.351 0.542 Q10 0.253 0.566 Q11 0.253 0.566 Q12 0.233 0.571 Q13 0.358 0.542 Average 0.299 reliability = 0.588Figure 1 shows a discriminant coordinate plot and Biplot for the survey data. The discriminantcoordinate plot (a), suggests the existence of three different principal components underlying thedata. Though PC1 and PC2 explain much of the variability of the data, including an underlyingmiddle component at the intersection of these two components may provide a betterunderstanding of the data. The same is evident from the Biplot (b
of observation (O1). In addition to traditional instruction (X1), the instruction received by Class B alsoincluded prediction activities (X2) and instruction in Class C also included reflection activities (X3). A voluntaryfocus group was assembled of students from Class B and Class C. The classes were all taught by the same instructorexcept for Class C3. HECI Traditional Prediction Reflection HECI Focus group Sample test instruction activities (3) activities (3) test (optional) Class A (control) O1 X1 - - O1 - Class B O1 X1
A, B, C, D, and E) are given in Tables 1-3, with results shown from both Parts 1and 2. These students each show a variety of misconceptions about the atomic arrangements onthe given planes. These misconceptions exist after learning the material formally in lecture, andcan be compared to Krause and Waters’ 2009 post-test results [2], which required students tosketch some of the same planar arrangements in crystal structures after receiving instruction onthe topic.Part 1 elucidated several misconceptions in students’ understanding of crystal structures. For theBCC (010) plane (Table 1), students A and B both erroneously included an atom in the center ofthe plane, whereas students C and D had the corner atoms touching. Student E showed both
1d is dark green). Within each section of each bar, we include a POED sub-categorylabel and the number of LS in that category. The boxed number at the far right of each bar is thesum of all LS in each POED’s sub-categories. We employ the same approach for the team LSand illustrate them in Figure 7(b). For the individual LS in Figure 7(a), we observe that POED 1 and POED 4 are largelythe focus of individual LS. POED 1, which deals with team formation, planning the designprocess, and understanding the problem, are a continuing focus for students throughout thesemester. Many students report throughout the design process that only at later stages do theysee how valuable ensuring teams are responsibly formed and organized from the
of each DesignHeuristic card, there is a title of the strategy, a graphic image, and a description of the heuristic(Figure 1). The back of each card provides two example products where the heuristic is evident,demonstrating how the heuristic can be applied to multiple products. One of these example isalways a seating device, and the other example is a consumer product, represented by a variety ofproducts throughout the set of 77 cards.Figure 1. Design Heuristic card #50, Provide Sensory Feedback. (a) Front features the DesignHeuristic strategy and description with image and text. (b) Back features two examples of how theheuristic can be applied.For example, the Design Heuristic, Provide sensory feedback, prompts the designer to considerhow
Paper ID #19412Selection Process of Students for a Novel STEM Summer Bridge ProgramDr. Margaret E. Beier, Rice University Margaret Beier is an Associate Professor of Psychology at Rice University in Houston, TX. She received her B.A. from Colby College, and her M.S. and Ph.D. degrees from the Georgia Institute of Technology. Margaret’s research examines the predictors of performance in educational and occupational settings. In particular, she is interested in the effects of examining gender, age, ability, personality, motivation, and self-regulation on a range of outcomes. She is a member of the American Educational
memory using experimental data. (a) (b) Figure. 4. (a) Conventional GPGPU with DRAM as global memory. (b) GPGPU with PCM as hybrid memory.III. Hybridization using STT-RAM and RRAM as NVMThe research on hybridization of memory shows that hybrid memory system with globalmemories as STT-RAM and RRAM along with DRAM to provide greater bandwidth, lowerlatency and optimal power consumption 16. According to our study, only a fraction of memory isfrequently accessed during run time. Thus, infrequently accessed can be stored in NVMs whichare managed in stand-by mode with near zero power consumption. As shown in the below figure,leakage power of NVM’s are lesser than DRAM. It has been
throughout this project. Its mini 5-way digitalonboard joystick provides a simple way to drive the Roomba. For the purpose of wirelesscommunication, the nRF24L01 breakout is controlled via SPI (Serial Peripheral Interface) fortransmitting/receiving data. Figure 2 The system design (a) (b) Figure 3 The system design: (a) the host; (b) the client3.2 Hardware ConfigurationThe hardware configuration contains an iRobot (Roomba), a low power microcontroller(AT90USB1287), a single chip 2.4GHz transceiver (nRF24L01), a breakout board (FT232R),and a UART-USB component. The hardware configuration is introduced as follows
planning, monitoring, and evaluation of thinking Formative assessment for Promote both knowledge more learning opportunities and regulation of cognition. Post-activity reflection Students perception on Collect diagnostic clues to intervention meet Individual needs A B Figure 1: (A) Process-oriented activities for improved student engagement and performance and (B) Process-oriented intervention for creative and critical thinkingThere is a lack of knowledge of
relevant standards, developing and writinglesson plans, and using effective, research-based teaching strategies. The preservice teacherswere given a template for writing lesson plans (see Appendix B), and as a class they reviewedthe template and example lessons prior to writing their first lesson.The lesson plan format used in this course began with the aim of the lesson, or what thepreservice teachers will be teaching about, a lesson standard, and the lesson question(s), of whichthe students will be able to answer by the end of the lesson. Following this, the preserviceteachers described the learning objectives (what students will be able to do) and the assessmentfor each objective. The next section prompted the preservice teachers to reflect on
other changes to the circuit what will be the observed result on the bottom trace? a) The bottom yellow trace will remain unchanged as the Fourier Series components of the input and output waveforms are not related. b) The bottom yellow trace will become “smoother” as it attenuates more of the higher frequency components of the Fourier Series representation of the input waveform. c) The bottom yellow trace will become more “jagged” as it does not attenuate many of the higher frequency components of the Fourier Series representation of the input waveform." d) None of the other choices is correct.Another question might be posed from a design perspective.2) Suppose you are to create a simple filter to recover a
as the surrogate vehicle. - Four USB 2.0 Ports,Guiding students that are enthusiastic to join - 24 Pin Header with GPIO, and - Ethernet connection.innovative teams and contribute to advancing ITSsolutions was rewarding and this project enabled The Raspberry Pi 2 B+ is very popular as a selectionthem to gain experience, practice and practical for embedded applications due to its low powerproblem-solving skills. Students were expected to consumption and low price in comparison to itsstudy outside of assigned homework, consult with capabilities. Digital simulation was considered andexperts
students," Journal of Professional Issues in Engineering Education & Practice,137(4), pp. 176-182.[3] Chenard, J. S., Zilic, Z., and Prokic, M., 2008, "A laboratory setup and teaching methodologyfor wireless and mobile embedded systems," IEEE Transactions on Education, 51(3), pp. 378-384.[4] Dyer, S. A., and Schmalzel, J. L., 1998, "Macroelectronics: A gateway to electronics andinstrumentation education," IEEE Transactions on Instrumentation and Measurement, 47(6), pp.1507-1511.[5] Guardiola, I. G., Dagli, C., and Corns, S., 2013, "Using university-funded research projects toteach system design processes and tools," IEEE Transactions on Education, 56(4), pp. 377-384.[6] Jonassen, D., Strobel, J., and Lee, C. B., 2006, "Everyday problem solving
and Figure 4b) are provided throughout the module to assist students asneeded. Figure 4c shows the hints when the “Help” link under “Damping Ratio (𝜉)” in Figure 4bis tapped. (a) (b) (c) Figure 4. Vibration – Analysis ComponentThe objectives of the Analysis component are as following, which are targeted to fulfil courseobjectives 1 and 4:• To identify and compute the characteristics of the structural components on a SDOF structure.• To analyze and determine the system equation of motion and transfer function of a SDOF structure numerically.Simulation ComponentAfter learning the necessary theory, students are given the opportunity to verify the
control of behavior,” J. Pers. Soc. Psychol., vol. 53, no. 6, pp. 1024–1037, 1987.10 K. Tobin, “Research on Science Laboratory Activities: In Pursuit of Better Questions and Answers to Improve Learning,” Sch. Sci. Math., vol. 90, no. 5, pp. 403–418, May 1990.11 A. Hofstein and V. N. Lunetta, “The Laboratory in Science Education: Foundations for the Twenty-First Century,” Sci. Educ., vol. 88, no. 1, pp. 28–54, Jan. 2004.12 R. F. Gunstone, “Reconstructing theory from practical experience,” B. E. Woolnough Ed Pract. Sci. Milton Keynes Open Univ. Press, pp. 66–77, 1991.13 B. J. S. Barron et al., “Doing With Understanding: Lessons from Research on Problem- and Project-Based Learning,” J. Learn. Sci., vol. 7, no. 3–4, pp