-1711533. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] Paulson, D. R., & Faust, J. L. (1988). Active and Cooperative Learning. Los Angeles: California State University, Los Angeles. Retrieved from http://www.calstatela.edu/dept/chem/chem2/Active/index.htm[2] Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231.[3] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics
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
Renewable Energy Bioactuation (BSBA) Bioactuation (BSBA) Biomass (HyBi) Biomass (HyBi) And Env. Design (SEED) And Env. Design (SEED) Storage (RESTOR) Storage (RESTOR) S. Chi Liu , CMMI S. Chi Liu , CMMI George Antos, CBET George Antos, CBET Larry Bank, CMMI Larry Bank, CMMI L. Esterowitz, CBET L. Esterowitz, CBET Y. Gianchandani*, ECCS Y. Gianchandani*, ECCS J. Regalbuto*, CBET
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and Bowers (1997) of studentsstudying physics found that reading is, in fact, more important than hearing.IntroductionHaving been challenged by a member of the public—specifically a K-12 school teacher—toprovide authoritative source(s) of the STATEMENT, what was envisioned as a simple search andproof would ultimately reveal a lack of evidence for the cited statistics. The STATEMENT beingreferred to here is that people (or students) learn (or recall/remember): • 10% of what they read • 20% of what they hear • 30% of what they see • 50% of what they hear and see • 70% of what they say (and write) • 90% of what they say as they do a thingThere are various forms and permutations of the STATEMENT found in published
underrepresented minorities in engineering. Nonetheless, a story is not completeuntil it integrates not only some of the characters, but also their environment, history, beliefs,values, ways of knowing, doing and being. Similarly, as part of the engineering educationcommunity, we must add more factors to this story – the stories of struggle, subjugation, andoppression.Bibliography 1. Blaisdell, S. (2006). Factors in the Underrepresentation of Women in Science and Engineering: A Review of the Literature. Women in Engineering ProActive Network. 2. Cohen, C. C. D., & Deterding, N. (2009). Widening the net: National estimates of gender disparities in engineering. Journal of Engineering Education, 98(3), 211-226. 3. Beddoes, K
Finds Unprepared Students a Persistent Problem. Retrieved from on October 3, 2016.Bataineh, M. (2015). Think-Pair-Share, Co Op-Co Op and Traditional Learning Strategies onUndergraduate Academic Performance. Journal of Educational and Social Research, 5(1), 217-226.Bonwell, C., & Eison, J. (1991). Active Learning: Creating Excitement in the Classroom.ASHEERIC Higher Education Report No. 1, George Washington University, Washington, DC.Boulmetis, J. & Dutwin, P. (2011). The ABCs of Evaluation: Timeless Techniques for Programand Project Managers. San Francisco, CA: John Wiley & Sons, Inc., 131.Brown, S., & Vranesic, Z. (2009). Fundamentals of Digital Logic with Verilog Design. NewYork: McGraw-Hill.Chi, M. (2009). Active-Constructive
,therewerealsopromisingexamplesofmiddleschoolteachersutilizingtheSTEAMTrunks.Table2belowpresentsillustrativeexamplesofprojectsutilizingeachoftheSTEAMTrunks. 7Table2.IllustrativeExamplesofSTEAMTrunkUtilizationSTEAM Grade ProjectDescriptionTrunk Level(s) 3DPrinting 5thGrade Aspartoftheschool’sScienceandEngineeringFair,students designedandprototypedoriginalinnovationstosolvereal worldproblems. 8thGrade Student’sdesignandprototypehelmetsthatwouldmore effectivelyprotectagainstinjuryinavarietyofcontactsports. Electronics 4th/5th IntheirRoboticsenrichmentclass,studentsusevarious Grade
audience1 Building a Learn NC (web) Teacher 8th grade Building a paper bridge: Walston, S. (n.d.) mathematics bridge and An class measurement introduction to problem solving2 Lesson Plan Beam UCLA (web) Engineering Not stated Building a for Mulchandani, A. graduate bridge Bridge (n.d.) student Building3 Build a Teaching Ideas (web) Teacher Ages 7-11 Building a bridge
that established the ”Center of Excellence in Signal Integrity” at Penn State Harrisburg. He was a co-author for the Best Poster Paper Award at the IEEE International Conference on Consumer Electronics 2007, Las Vegas, Nevada, for the paper ”Transmitter Pre-emphasis and Adaptive Receiver Equalization for Duobinary Signaling in Backplane Channels”. In addition, of Best Paper Award at the IEEE Asia Pacific Conference on Circuits and Systems 96, Seoul, Korea, for the paper ”Basis Matrix Representation of Morphological Filters with N-Dimensional Structuring Elements”.Dr. Sedig Salem Agili, Pennsylvania State University, Harrisburg Sedig S. Agili received his BS, MS, and Ph.D. in Electrical and Computer Engineering from
– think of trying to gather more new contacts than your roommate. In projects,we will continue to emphasize how all students have unique talents to bring to their teams.References[1] T. Rath, StrengthsFinder 2.0, New York: Gallup Press, 2007.[2] M. L. Loughry, M. W. Ohland and D. J. Woehr, "Assessing teamwork skills for assurance of learning using CATME team tools," Journal of Marketing Education, vol. 36, pp. 5-19, 2013.[3] S. Zemke and D. Elger, "Curricular elements that promote professional behavior in a design class," in ASEE Annual Conference Proceedings, Chicago, 2006.[4] J. Asplund, S. Agrawal, T. Hodges, J. Harter and S. J. Lopez, "The Clifton StrengthsFinder 2.0 Technical Report," Gallup Inc., Washington DC, 2014.[5] S. J
purpose of this paper is to recommend adapting new pedagogical methods to theaccepted topics in an introductory probability and statistics course for engineeringundergraduates—methods that better match the learning characteristics of Millennial students inour courses. In a nutshell, those characteristics may be summarized as: (1) They want relevanceto their major, and future engineering career; (2) They want rationale (for the textbook selected,and for specific course policies and assignments); (3) They revel in technology (to collect data,compute, communicate, and multi-task); (4) They want a relaxed, hands-on environment; (5)They prefer instructors who rotate among several classroom delivery methods.Considering the “Five R‟s” learning
and minorities continue to be underrepresented in engineering, both nationally and atRoger Williams University. In 2012, women constituted just 12% of engineering graduates at theuniversity, while minorities constituted just 4%. In an effort to boost the enrollment, performance,and persistence of underrepresented students, the university applied for and received an NSF S-STEM grant to integrate engineering, biology, and marine biology students into an existingprogram supporting underrepresented students on campus. The combined program, known asSTILAS, provides participants with a $10,000 NSF scholarship, supplemented by the university,as well as dedicated tutoring and advising, and co-curricular activities such as field trips and
and multipleoutcomes including economic, environmental and social issues surrounding sustainability.Students are expected to show effort in researching, demonstrating an awareness of all avenuesof sustainability. The assessments are derived from exercises, problems, and project addressingsustainability issues, including greenhouse gas footprint, energy use, and water use.Table 6. Sustainability in Engineering course assessment Course objective/s Assessment Results Sustainable practices needed in environmental and Students were able to find, comprehend, analyze, civil engineering find needed information for quantify, synthesize information about the future solving open ended problems
metallurgical engineering at the South Dakota School of Mines and Technology (SD Mines). Between 2008-2013, he served as site director of the NSF I/UCRC Center for Friction Stir Processing (CFSP). Since then, he has been involved in a range of projects involving friction stir joining and alloy processing in a variety of metal alloys including aluminum alloys, ODS steels, titanium alloys, cast irons, and dissimilar metal alloys. He is also actively engaged in STEM-Ed projects and serves as the director for the NSF Research Experience for Undergraduates (REU) ”Back to the Future”, coordinator for the Army Educational Outreach REAP program for High school students at SD Mines, and PI for the S-STEM Culture and Attitude program
duein class the following week. Two midterm exams and one final exam were given, and studentscompleted two Matlab projects in groups of three.ParticipantsThe course was taught by the same instructor in both terms considered in this study. Theinstructor was a full-time faculty member at the university with over 10 years of teachingexperience. S/he had taught the DTSS course discussed here several times prior to the two termsin question. Student participants in the study were predominantly male, junior or senior students,majoring in electrical engineering. The majority of students were also domestic and in-state.However, they varied greatly in GPA. The students were also diverse in race/ethnicity with overhalf being either White or Asian. The
, Portland,Oregon. https://peer.asee.org/15336[6] Ezzell, S., & Gordy, P. (2004, June), Energizing Your Engineering Program ThroughCompetitions And Team Based Projects Paper presented at 2004 Annual Conference, Salt LakeCity, Utah. https://peer.asee.org/13973[7] Lumsdaine, E., & Loukus, J., & Dreyer, J., & Chenoweth, S., & Lumsdaine, M. (2009, June),Forming And Managing Project Teams In A Large Capstone Design Course Paper presented at2009 Annual Conference & Exposition, Austin, Texas. https://peer.asee.org/4892[8] Harding, T. (2007, June), Benefits And Struggles Of Using Large Team Projects In CapstoneCourses Paper presented at 2007 Annual Conference & Exposition, Honolulu, Hawaii.https://peer.asee.org/3009[9] Underwood
of liquid at the nozzle port is calculated asfollows: 𝑝 𝜌𝑔ℎ (2) where ph = hydrostatic pressure (Pa, N/m2, or kg/m-s2) ρ = liquid density (kg/m3) g = acceleration of gravity = 9.81 m/s2 h = height of the liquid column (m)For this lab, multiple fluid heights are tested. The liquid flow rate through an orifice can becalculated as follows: 𝑞actual 𝐶 𝐴 𝑝 𝑝 (3) where qactual = actual liquid flow rate (m3/s) A2 = area of the port (m3) gc = conversion factor = 1.0 kg-m/N-s2
Temperature Shape Factor for Plane Shape Factor for Pressure 𝐹𝑑 - 𝐹𝑝 - Couette Flow Flow H Channel Depth m k Thermal Conductivity W/m2K Thermal Conductivity of Thermal Conductivity of 𝑘𝑃𝐸𝑇 W/m2K 𝑘𝑆𝑇 W/m2K PET Steel L Length m 𝐿𝑓 Latent Heat of Fusion kJ/kg 𝑚̇ Mass Flow Rate kg/s N Revolution Rate
: 1. Include descriptions of the cultural context 2. “[A]ttend to the embodied nature of the protagonist” [39, p.17] 3. Consider how other people affect the central character 4. Identity choices and actions of the central character 5. Attend to past experiences and how they impact the choices and actions 6. Create a story with a beginning, middle, and end 7. The plot should bring all the data together into a meaningful story that explains why the central character acted the way s/he didQuality ConsiderationsThis project will be monitored by an external review board and an internal framework.Internally, we will use the Q3 framework outlined by Walther et al. [41] and Walther
Psychology, 101(4), 817-835.2 Kell, H. J., & Lubinski, D. (2013). Spatial ability: A neglected talent in educational and occupational settings. Roeper Review, 35(4), 219-230.3 Newcombe, N. S., Uttal, D. H., & Sauter, M. (2013). Spatial development. Oxford Handbook of Developmental Psychology, 1, 564-590.4 National Research Council (NRC). (2006). Learning to think spatially: GIS as a support system in the K-12 curriculum. Committee on the Support for the Thinking Spatially, National Research Council, Publisher: The National Academies Press, URL: http://books. nap. edu/catalog. php.5 Sorby, S. A. (2009). Educational research in developing 3‐D spatial skills for engineering students. International Journal
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
the student adaptability to the equipment and easiness to use it toproduce results 6, or to introduce hands-on approach to teach wireless sensor networks atundergraduate level 7. For sensor networks the Scatterweb’s MSB430 sensor platform waspreferred 7, 10. From computer engineering perspective, teaching embedded systems for wirelessnetworking was considered, with the use of the microcontrollers MSP430 from TexasInstruments and ARM7-TDMI-S from ARM 9. SDR platforms were also considered for radarapplications 11.While the volume of literature on the use of SDR in teaching and research is growing at a fastrate, there is very little coverage on the lab set-up that uses SDR to illustrate the specialcharacteristic of wireless communications
definition of mission engineering is the deliberate planning, analyzing,organizing, and integrating of current and emerging operational and system capabilities toachieve desired mission effects.Mission engineering applies the mission context to complicated and complex system(s) ofsystems [2]. Most current systems engineering practices do not fully address the uniquecharacteristics of mission engineering, addressing the end-to-end mission as the ‘system’ andextending further beyond data exchange between the individual systems for cross-cuttingfunctions, controls, and trades across the systems.Mission engineering differs from the established term of mission analysis in that the latter onlyaddresses examination of current operational and system
#1936through NSF/CNS grant. The views and conclusions contained herein are those of the authorsand should not be interpreted as necessarily representing the official policies, either expressed orimplied of NSF.References[1] Berman, M., Chase, J. S., Landweber, L., Nakao, A., Ott, M., Raychaudhuri, D., Ricci, R., and Seskar, I. (2014). GENI: A federated testbed for innovative network experiments. Computer Networks, 61:5–23.[2] Riga, N., Edwards, S., and Thomas, V. (2016). The Experimenter’s View of GENI, pages 349–379. In: McGeer R., Berman M., Elliott C., Ricci R. (eds) The GENI Book. Springer, Cham .[3] Thomas, V., Riga, N., Edwards, S., Fund, F., and Korakis, T. (2016). GENI in the classroom. In the GENI Book, pages 433–449. Springer.[4