AreaNetwork (LAN). The rest of this paper is organized as follows. Motivation, systems modeling Page 26.44.3and design are discussed in Section 2. Results of numerical analysis are presented in Section 3.Discussion of results and contribution(s) of the research are presented in Section 4. Section 5concludes the paper.2 Systems modeling and designThis Section discusses motivation for the research in Section 2.1 and systems modeling anddesign in Section 2.2.2.1 Motivation for the researchThe research is motivated by the need to provide improved learning environment for engineeringstudents, whereby professors/instructors can access the laboratory to
) 0 -0.02 -0.02 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 t (s) t (s) Single-Sided Amplitude Spectrum of y(t) Single-Sided Amplitude Spectrum of y(t
College Student Personnel at the University of Louisville. Her research interests include understanding the role of achievement motivation in the development of academic underachievement, particularly among gifted students.Dr. Patricia A Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD degrees in chemical engineering from the University of Louisville. Dr. Ralston teaches undergraduate engineering mathematics and is currently involved in educational research on the effective use of technology in engineering education, the incorpo- ration of critical thinking in
interaction, we hope to identify recommendations wecan make to other parents on how to foster engineering interest in their children, as wellas contribute ideas for activities for K-5 classrooms to reach a wider range of children.AcknowledgementThis material is based upon work supported by the National Science Foundation underGrant No (HRD-1136253). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect theviews of the National Science Foundation. We would also like to acknowledge thecontributions of the GRADIENT research team members Scott VanCleave, MaggieSandford and Zdanna Tranby for data collection.References 1. Ceci, S., J., & Williams, W. M. (2010
the Simulink model the pulses in thesignal are counted and converted to an angular velocity. Since direction is not important in this setof experiments only one photo interrupter was used. However, a second photo interrupter couldbe added if direction is needed in the future.Motor DriverSince the voltage and current required for the motor are too high to be directly sourced by theRaspberry Pi, an additional power supply and H-bridge were used to drive the motor. A variableDC power supply that has 1.5V increments from 3V to 12V was selected. However, 4 AAbatteries could also be used. The SoftPWM library from the WiringPi libraries was used inanother Simulink S-function driver to generate the pulse-width modulated (PWM) signal to drivethe H
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, Page 26.328.4Helping other people, Having others working under my supervision, Having job security,Working with people rather than objects, Inventing new things, Developing new knowledge andskills, Having lots of family time, Having lots of time for myself/friends, Making my owndecisions, Having an easy job, Having an exciting job, Making use of my talents/abilities,Working in an area with lots of job opportunities. Characteristics were rated on a scale of 1 to 6,where 1 = Not at all important and 6 = Very important. (For more information on the PRiSEproject and survey methodology, see 26, 27)Occupational DataThe most recent available occupational statistics were obtained from the U. S. Bureau of LaborStatistics (BLS). These include 2013
selective; S designates Page 26.171.3selective; HTI designates Higher transfer-in; LTI designates lower transfer-in; L4 designateslarge four-year; M4 designates medium four-year; S4 designates small four-year; NR designatesprimarily nonresidential; R designates primarily residential; and HR designates highlyresidential. Name Gender Race Major Year in Home institution school profileAnusha Female Not Mechanical Sophomore RU/VH, MU, given Engineering FT4/MS/LTI, L4/REric Male Asian
until it reaches the specimen surface where some of the wavereflects back into the incident bar. The rest of the stress wave continues propagating through thetransmitter bar. In classical SHPB analysis, the specimen strain and stress can be estimated usingthe strain signals measured on the incident and transmitter bars based on the equations derived inreference [11]. The specimen strain is determined as a function of time by simplycalculating the following integral. 2C 0 t Ls 0 s (t ) R (t )dt (2)where (t) is the reflected incident bar strain history collected from the strain gauge
learned a lot about engineering education research from this program. Many studentsexpressed their desire to purchase further graduate studies, or teaching, in the development oftheir professional careers.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.DUE 1262806. Graduate students Mr. Andreas Febrian, Mr. Moe Tajvidi, Mr. PresentacionRivera-Reyes, and Ms. Ting Song are acknowledged for their efforts in mentoring REU students.The project external evaluator Dr. Margaret Lubke is also acknowledged for her efforts inconducting independent evaluation of this program.Bibliography[1] Hathaway, R. S., Naqda, B. A., and Gregerman, S. R., 2002, “The Relationship of Undergraduate Research
tunnel and the air speed was varied from zero toabout 40 m/s by adjusting the frequency of the fan motor drive. Figure 5 shows photographs ofthe probes mounted in the wind tunnel. Team 2 Team 4 Team 1 Team 3 Figure 5. Pitot-static probes mounted in wind tunnelThe calibrated airspeed for each motor frequency was obtained from a calibrated Pitot tubeinstalled in the wind tunnel. The pressure sensor output voltage and supply voltage weremeasured at each air speed using a National Instruments USB-6009 data acquisition unit. The+5V supply voltage for the pressure sensor was also provided by the USB-6009. The pressuresensor output is ratiometric
Grant no.:1432426. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.Bibliography1.# Olson,#S.#Riordan,#D.#G.#Engage&to&Excel:&Producing&One&Million&Additional&College& Graduates&with&Degrees&in&Science,&Technology,&Engineering,&and&Mathematics.&Report&to& the&President.#(Executive#Office#of#the#President,#2012).#2.# Watkins,#J.#Mazur,#E.#Retaining#students#in#science,#technology,#engineering,#and# mathematics#(STEM)#majors.#J&Coll&Sci&Teach#42,#36–41#(2013
institutional data. Assessment of the data can help educators and faculty membersrevise the effectiveness and content of civil engineering and construction curricula and improve thecourses regarding leadership skills. There may be facets of leadership skills unique to civilengineering and construction science compared to other majors, which would be worthy ofresearch attention.References1. Steels, H.M. (2006). Successful Professional Reviews for Civil Engineers. 2 nd Edition. London: Thomas TelfordPublishing.2. Allen, S. J. and Roberts, D. C. (2011). Our Response to the Question: Next Steps in Clarifying the Language ofLeadership Learning. Journal of Leadership Studies, 5(2), 65-70.3. Hyatt, B., (2013) ―Leadership Development in Undergraduate
Education Research. Journal of Engineering Education, 100(1), 186-210.2 Montfort, D., Brown, S., & Pollock, D. (2009). An Investigation of Students' Conceptual Understanding in Related Sophomore to Graduate-Level Engineering and Mechanics Courses. Journal of Engineering Education, 98(2), 111-129.3 Linnenbrink, E. A., & Pintrich, P. R. (2003). Achievement goals and intentional conceptual change. In G. M. Sinatra & P. R. Pintrich (Eds.), Intentional conceptual change (pp. 347–374). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.4 Posner, G. J., & Gertzog, W. A. (1982). The clinical interview and the measurement of conceptual change. Science Education, 66(2), 195-209. doi
computational modeling activities areintegral to each educational learning module. When students formulate computational models,they develop understanding by engaging in the theory and observations of a situation. Studentscomplete each educational learning module in about three hours outside of class after they havebeen introduced to the individual topic in lecture(s) and completed a series of homeworkproblems. As students complete an activity, they are encouraged to refer to its correspondinggrading rubric, which conveys expectations of quality across different levels of expertise. Ourpedagogical model can be used to design learning modules for difficult concepts in other STEMsubjects.Keywords: cognitive apprenticeship, pedagogical model, engineering
GRIT with retention-to-graduation with the correlation of admissions variables to retention-to-graduation. Admissions variables were originally selected because they predict retention; the study will examine whether GRIT is more, less or additionally predictive of student success.Introduction“Let me tell you the secret that has led to my goals. My strength lies solely in my tenacity.”Louis PasteurThe Grit Scale was developed by Dr. Angela Duckworth in 20071 to measure the personalitytraits of perseverance and passion for long-term goals. In Duckworth 20092 The Short Grit Scale(Grit–S) was shown to have internal consistency, validity and improved psychometric properties.Various studies have associated GRIT, as measured by the Grit-S scale, with
is 15 cm, V1 velocity is 5m/s and V2 velocity is 2m/s. b) What is the D2 diameter, if the D1 diameter is 10 cm, V1 velocity is 5m/s, and V2 velocity is 2m/s. Figure 4. Module 2 – The Continuity Principle and the Module 2 assignmentModule 3 – Fluid Pressure Measurement & ManometersModule 3 reviews the concept of fluid pressure calculation in systems with manometers. For thesimulation setup, a well type manometer is used. The simulation is set-up in a way so that it isinteractive and students can select a
) critically evaluating the state of research andrecommending improvements, and (c) identifying neglected topics that require the attention ofresearchers. Our completed systematic review will contribute in each of these three areas.Bibliography1. Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A Page 26.1754.10 meta-analytic survey. Journal of Educational Psychology, 106, 901-918.2. Sabo, K. E., Atkinson, R. K., Barrus, A. L., Joseph, S. S., & Perez, R. S. (2013). Searching for the two sigma advantage: Evaluating algebra intelligent tutors. Computers in
J K L M N O P Q R S T U 21 11 3 3 9 11 3Table 2 lists the research topics and physics associated with the 21 most successful models todate. Four topics
research questions, we decided to examine defining characteristics ofindividuals identified by our participants as exemplary engineering leaders. It was at this point Page 26.815.2that we noticed a significant over-representation of men in the pool of highly esteemed leaders.In this paper, we use a factor analysis and Chi-Square Goodness of Fit test to examine onepossible reason for this disparity—a gender difference in engineers’ leadership aspirations. Wethen use a focused literature review to hypothesize two alternative explanations for our finding. T ABLE 1 : S AMPLE C HARACTERISTICS Category Sub-Categories
States Coast Guard Academy. He received his Ph.D. from New Mexico State University, his M. S. and B.S. degrees at Rensselaer Poly- technic Institute, all in Electrical Engineering. He was previously an Associate Professor of Electrical and Computer Engineering at the University of Tennessee and was a Development Engineer at the Hewlett Packard Company. His areas of interest include laboratory development, antennas, wireless communica- tions, signal processing, and instrumentation. Page 26.116.1 c American Society for Engineering Education, 2015 A Successful “Applications
University Press, 2014).6. Clements, D. H. Curriculum research: Toward a framework for ‘Research-based Curricula’. J. Res. Math. Educ. 38, 35–70 (2007).7. Dym, C., Agogino, A., Eris, O., Frey, D. D. & Leifer, L. J. Engineering design thinking, teaching, and learning. J. Eng. Educ. 94, 103–120 (2005).8. Daly, S. R., Adams, R. S. & Bodner, G. M. What does it mean to design? A qualitative investigation of design professionals’ experiences. J. Eng. Educ. 101, 187–219 (2012).9. Bannan-Ritland, B. The Role of Design in Research: The Integrative Learning Design Framework. Educ. Res. Page
differentengineering disciplines to solve many important manufacturing automaton problems. As a finalproject, students are expected to model and simulate a work cell for the selected application andto perform the same with the physical robots in the lab. They will compare both outcomes forevaluation of the calculated results. Students submit a comprehensive engineering report todocument all requirements. Experiments and projects are designed and implemented in asequence that would allow the students to acquire a complete manufacturing automationexperience. This included on-line and off-line robot programming (uploading and downloadingprograms between robots controllers and simulation software), robot integration (addingperipherals to a robot(s) to create a
(Phase 2)Once phase 1 is complete and the benchmarking team has been formed, the identification of thebenchmarking subject (i.e., focus of the benchmarking process) must be completed. During thisphase, it is important that: • The desired areas to be benchmarked are identified; • The number of areas is narrowed down to key areas that can realistically be impacted; • The importance of each area is determined based on priorities; and • The final benchmarking subject(s) are identified.Through multiple conversations between the assistant director of The Center and one of theauthors, several desired areas to be benchmarked were identified. In particular, the assistantdirector was interested in benchmarking interventions with regard to
Graphics, 6(1), 99-109.4. Leopold, C., Gorska, R. A., & Sorby, S. A. (2001). International experiences in developing the spatial visualization abilities of engineering students. Journal for Geometry and Graphics, 5(1), 81-91.5. Strong, S., & Smith, R. (2001). Spatial visualization: Fundamentals and trends in engineering graphics. Journal of Industrial Technology, 18(1), 1-6.6. Hsi, S., Linn, M. C., & Bell, J. E. (1997). The role of spatial reasoning in engineering and the design of spatial instruction. Journal of Engineering Education, 86(2), 151-158.7. Sorby, S. A. (2001). Improving the spatial visualization skills of engineering students: Impact on graphics performance and retention. Engineering Design
applied inthis case [6].Challenge-based Ocean Engineering Project (COEP)The top-level objectives of this challenge-based ocean engineering project were two-fold: (a)respond to a report of potential UXO sighting and search a rectangular area approximately 100feet by 75 feet with depths of water up to 40 feet for the potential UXO; (b) If potential UXOwas located, then (1) provide as precise of a geo-location as possible in order to enable theExplosive Ordnance Disposal (EOD) expert to respond to the exact location and (2) provide asmuch information as possible on the located object(s) to an EOD subject matter expert (SME) onshore. The goal of providing this information was to enable the SME to assess if the object waspotentially dangerous, not
) presentingmore information to users through clickable pop-out boxes. The last three characteristics focuson students’ active involvement, giving them a chance to organize their learning process bynavigating through modules, changing input parameters, and observing the outcomes. Dependingon the technical limitations and CSA objectives, different researchers have focused on differentaspects of the above-mentioned characteristics 6, 11, 12, 17, 18, 24.Pedagogical innovations in the instruction of engineering mechanicsBefore 1990’s, the main emphasis of educational research was on improving teaching styles,active learning, and facilitation of student conceptual understanding20. Developments incomputer graphics and web-based tools have reinforced these
include an attitude theory based instrument forcollecting information entrepreneurship orientation, a multi-part socio economic statusinstrument, and several additional questions developed by the authors to collect information toexplore ties between demographic and attitude measures of entrepreneurship.Instrument – Entrepreneurship ComponentThe attitude theory component, consisting of 75 Likert-type items, is a modified version of theEntrepreneurial Attitudes and Orientation (EAO) instrument originally developed by Robinson etal16. This instrument, developed in the early 1990’s, used two discrete populations: a populationof entrepreneurs and a population of non-entrepreneurs. The goal of the instrument is toestablish an attitude theory based
opportunities for undergraduate laboratory instructionAbstract:This paper outlines a two-semester senior engineering design project that was carried out tostudy a moderately well-defined chemical reaction involving sodium borohydride in aqueousconditions to generate hydrogen for fuel cell applications. Sodium borohydride hydrolysis hasbeen studied extensively since the early 1940’s as a promising hydrogen storage material, whichprovides a content-rich study area for engineering design coursework and undergraduatelaboratory experiences related to energy, hydrogen, and energy storage potential. Throughout thetwo-semester project design course, a two-student engineering team carried out literature reviewsand bench work that lead them to investigate
not exhaustive; rather, itshows a sample of Civil Engineering programs that have published journal or conference papersabout their industry-sponsored capstone courses. Page 26.1412.3Table 1: Reviewed Industry-Sponsored Capstone Design Courses Including Civil StudentsSchool (source) Semesters Annual Engineering Student Sponsor Support Enrollment Discipline(s) Group SizeBrigham Young 2 NR Civil 3-4 Project Idea,University 13 Mentoring, and