Mean Score Score 60 50 40 30 Low Score 20 10 1980 1985 1990 1995 2000 2005 2010 YearFigure 4 Student Final Exams Results in Theoretical Aerodynamics T h e o re tic a l A e ro d y n a m ic s 100 H ig h S c o re 90 80 70 M e a n S c o re S c o re 60 50 40
. Table 1 Data for a RG58A/U ___________________________________________________________ L’ = 2.5x10-7 H/m C’ = 1.01x10-10 F/m R’ = 0.028 Ω/m -14 G’ = 5.9x10 S/m L = 1000 m f = 3x105 Hz Vg = 10 /0° V ZL = 100 Ω Zg = 50 ΩFigure 2 illustrates the line voltage as a function of location on the line for twenty values of time.It is easy to note the attenuation of the voltage signal as it propagates down the line toward theload due to the lossy nature of the line. There are several ways of presenting the solution to thisproblem in addition to that of employing t as a parameter as in Figure 2. Figure 3
scientists have a long tradition, continuing to the present, of lively debateconcerning the nature of their discipline.”2 The same could be said about each of theother disciplines discussed here. The approach used herein is to use the definitions asstated in the literature of the epochs examined.Computer ScienceComputers first began appearing in US universities in the 1930’s and early 40’s at MIT(differential analyzer), Harvard (Mark 1) and Penn (ENIAC and EDVAC). At first thesewere mechanical, followed by electro-mechanical, analog, and finally by digital as thecomputational research of the second world war filtered back into the universitylaboratories.3 It is interesting to note that academic departments devoted to the studies ofcomputers did not
reacting with products formed during thehydration of cement. Equations 1 and 2 show the hydration reactions of portland cement.Calcium silicate hydrate (C-S-H) is the major contributor to concrete strength. SCMs such asslag cement and fly ash contain amorphous silica (S) which reacts (Equation 3) with calciumhydroxide (CH) to form additional C-S-H thereby improving strength. The equations shownbelow are in ceramic notation. 2C3S + 11H → C-S-H + 3CH (1) 2C2S + 9H → C-S-H + CH (2) CH + S + H → C-S-H (3)In addition to improving hardened concrete properties, SCMs are also used to produce “green”structures. The force
study was based. Results and conclusions expressedin this article are those of the author(s) and do not necessarily reflect the views of theBoeing Corporation.2) Assessment instruments used were significantly adapted from TIDEEDesign assessment tools. The authors are indebted to the inspiration and models providedby Denny C. Davis, TIDEE project director, Washington State University, PO Box646120, Pullman, WA 99164-6120. Phone: 509-335-7993.Email: davis@wsu.edu(For those who are interested in the actual assessment tools used in this study pleasecontact authors.)Bibliography1. Davis, D., Gentili, K.L., Trevisan, M., Calkins, D.(2002). Engineering Design Assessment Processes andScoring Scales for Program Imporvement and Accountability. Journal of
toparticipate in the clubs and activities. To receive funding to support their club and activities, theclubs must consist of a minimum of 50% membership from students traditionallyunderrepresented in engineering10. Project monies are used to provide start-up materials to theclubs and an annual stipend of $1500 has been provided to each school for club sponsor(s).The Diversity in Engineering Technology Project is executed by the project PI on the UNCCharlotte campus, a key individual at each of the community college partners and the clubsponsor(s) at each of the high schools. Competition judges, mentors and support personnel havebeen university and community college faculty, staff and student volunteers, in addition to localmembers of industry and
as change of state. Electro- and magneto-rheological fluids, for example, canchange viscosity over many orders of magnitude upon application of an externalmagnetic or electric field. This change of state has the potential to revolutionize thecontrol aspects and responsiveness of hydraulic power transmission.Research during the 1960’s and 70’s was focused on devices such as: satellite antennas(NASA) that would unfold and expand when exposed to the heat of the sun; engines thatwould run on hot and cold water; automatic temperature-controlled greenhouse windows; Page 11.922.2and car fan clutches that would engage only when the engine warmed-up.One of the
85 PC/ABS (Polycarbonate/acrylonitrile butadiene styrene) (Industrial 15-55 plastic) PS (Polystyrene) 15-55Table 2. Data collection table with example Disassembly time Recycle Part Material(s) Mass (lbs.) Recyclable (Y/N) (mins and secs) Fraction Ex. Steel Screw Steel 0.11 Y 11 secs 75-85 Total Mass Total TimeConclusionsWhile this class is still under development, the initial offering was well received by students andwe plan to continue offering the course. An informal survey of
,CV,N) Table 6- Average visits to study materials (S) and assessment resources (A)The hypothesis tests comparing Fully Engaged (FE) and Consistent Viewers (CV) groups’average visits to assessments (A) were as follows:Test 1:Null hypothesis: µA,CV,T = µA,FE,TAlternate hypothesis: µA,CV,T < µA,FE,TTest 2:Null hypothesis: µA,CV,N = µA,FE,NAlternate hypothesis: µA,CV,N < µA,FE,NThese tests yield p-values of 0.001 for Thermoelectricity and 0.036 for Nanobiosensors. Takingthe standard threshold of p=0.05, we reject the null hypothesis in both tests and conclude thatConsistent Viewers group access assessments less frequently as compared to Fully Engagedlearners in both courses. The fact that we can accept both alternate hypotheses
, Mathematics and Science, GEMS: A science outreach program for middle-school female students. Journal Of STEM Education: Innovations & Research, 14(3), 41-47.7. Demetry, C., Hubelbank, J., Blaisdell, S. L., Sontgerath, S., Nicholson, M. E., Rosenthal, E., & Quinn, P. (2009). Supporting Young Women To Enter Engineering: Long-Term Effects Of A Middle School Engineering Outreach Program For Girls. Journal of Women and Minorities in Science and Engineering J Women Minor Scien Eng, 15(2), 119-142. doi:10.1615/jwomenminorscieneng.v15.i2.208. Safferman, A. G., Jeffers, A. T., & Safferman, S. I. (2004). Understanding K-12 engineering outreach programs. Journal of Professional Issues in Engineering Education and Practice
,weareexploringideastoofferanoptionalpeerreviewactivityforthefinalproject.This wouldprovidestudentsinterestedinpeerfeedbackwiththatoption,whileaccommodatingprivacyconcernsofthose wishingtokeeptheirideaslimitedtothemselvesandthefaculty.Table2aI-SeriesAssessmentRubric EachGeneralEducationcategoryisgroundedinasetoflearningoutcomes.ForthefullsetoflearningoutcomesforI-seriescoursessee:www.gened.umd.eduThisrubricisdesignedasatooltoassessactivitiesaimedatstudentgainsinthefollowlearningoutcome(s)fortheI-SeriesGeneralEducationCategory: Atthecompletionofthiscourse,studentswillbeableto
Grant and has received IRB approval fromCarnegie Mellon University.References [1] J. Hope and M. Witmore. “The hundredth Psalm to the tune of ‘Green Sleeves’: Digital approaches to Shakespeare’s language of genre.” Shakespeare Quarterly, vol. 61, no. 3, pp. 357-390, 2010. [2] J. Hope and M. Witmore. “The very large textual object: A prosthetic reading of Shakespeare.” Early Modern Literary Studies, vol. 9, no. 3, pp. 1-36, 2004. [3] D. Kaufer, C. Geisler, P. Vlachos and S. Ishizaki, S., “Mining textual knowledge for writing education and research,” in Writing and Digital Media, L. v. Waes, M. Leijten, and C. Neuwirth, Eds. Oxford, UK: Elsevier Science, 2006, pp. 115-130. [4] D. Kaufer, S
Calculus Females (Actual and Normal) 60 Algebra Males 50 Algebra Females 40 Calculus-Males m = 15.8 s = 4.8 30 Calculus-Females
%), withdisciplines having an average of 26.3% women undergraduates at the schools examined.Table 1: Summary of schools included in analysis. All ASEE data (enrollment, disciplinecategories) from 2016 except for New Mexico Tech (2015) (ASEE 2015, 2016). Reg = Region(C = Central, E = Eastern, NE = Northeastern, S = Southern, SC = South Central, SW =Southwestern, MW = Midwestern, W = Western); No. ASEE Disc Cat = number of disciplinecategories (including “Other Engineering”) listed in the profile; FT = Full-time, PT = Part-time,UG = undergraduate, Fem = Female. No. ASEE Pub/ % FT % PTSchool
, MATH 1348 Analytical Geometry,Year-2 PHYS 2425/2426 Physics I/II, CHEM 1311 Inorganic Chemistry I MATH 1316 Trigonometry, MATH 1348 Analytical Geometry, MATH 3320Year-3 Differential Equations, PHYS 2425 Physics I, CHEM 1311 Inorganic Chemistry I Identify Concept(s) to be Develop Draft Module Identify Bottleneck Covered Each Week including Sample Problems/ Concepts According to Teaching Examples and Solutions (Course Instructor) Schedule
or other dataacquisition tools and analyzed.The technical objectives are achieved as follows:Experimentally, determine stress in a part by measuring strain (understand relationship betweenstress and strain in linear elastic materials): A laboratory handout was developed to allowstudents to calculate the bending stress in the beams based on an applied load (most of thestudents have not yet completed strength of materials course). Students put various loads on the 3beam (50g, 100g, 200g, 500g) and record the corresponding strain values. They calculate stressbased on beam bending theory (s=Mc/I) and compare that with the experimentally determinedvalue from the strain measurements (s=Ee).Be able to
” by Young and Freedman[24]. Students of the course also attended weekly laboratory sessions where “Tutorials inIntroductory Physics” by McDermott and Schaffer [25] was used extensively. All courseactivities, including the tests, were conducted in Spanish.The E&M course uses active learning for instruction [26]. During the semester, besides the useof Tutorials, a very successful teaching strategy created by McDermott, et al. [25], the instructoruses Mazur´s Peer Instruction, a conceptual-based educational strategy [11]. He also employsproblem-solving activities using collaborative learning, conceptual building activities such asTasks Inspired by Physics Education Research (TIPER) [27] and educational technologies suchas Interactive
embedded systems; advanced methods for improving hardware and physical network security; evolvable hardware; and evolutionary and recon- figurable computing. He is a senior member of the IEEE organization and several societies, a member of the ASEE and ACM organizations.H. Shelton Jacinto, Boise State University H S. Jacinto received his B.S. degree in electrical and computer engineering from Boise State University, Boise, Idaho, USA, in 2017, and is currently a Ph.D. candidate in electrical and computer engineering from Boise State University, Boise, Idaho, USA. From 2015 to 2017 he worked with Idaho National Labs in conjunction with the Advanced Energy Lab conducting research on self-powered wireless sensor
percent of the participants statedtheir sibling(s) did not have an influence on their decision to major in an engineering program.Fifty-four percent of the African American respondents and 40% of the Caucasian respondentsindicated their mother/female guardian had a strong positive influence on their choice of major.Thirty-one percent of the Caucasian respondents and 16.6% of the African Americanrespondents stated their mother/female guardian had a somewhat positive influence on theirdecision to enroll in an engineering major. Twenty-one percent of the Caucasian respondentsand 12.3% of the African American respondents felt that their mother/female guardian did nothave any influence on their choice of major.Fifty percent of the Caucasian
offering are moregregarious while students in the Spring 2019 offering are friendly yet reserved).AcknowledgementsThis work was supported in part by the National Science Foundation EPSCoR Program underNSF Award # OIA-1655740. Any Opinions, findings and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect those of theNational Science Foundation. (http://scepscoridea.org/MADEinSC/acknowledgements.html).References[1] N. Thomas and R. Erdei, "Stemming stereotype threat: recruitment, retention, and degree attainment in STEM fields for undergraduates from underrepresented backgrounds," in 2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity
reviewers for constructive comments.ReferencesAnderson, M. S., Horn, A. S., Risbey, K. R., Ronning, E. A., De Vries, R., & Martinson, B. C. (2007). What Do Mentoring and Training in the Responsible Conduct of Research Have To Do with Scientists’ Misbehavior? Findings from a National Survey of NIH-Funded Scientists. Academic Medicine, 82(9), 853–860.ASCE. (2017). Code of Ethics. Retrieved from https://www.asce.org/code-of-ethics/.Bachmann, B. (2017). Ethical Leadership in Organizations. New York, NY. Springer.Bedi, A., Alpaslan, C. M., & Green, S. (2016). A Meta-analytic Review of Ethical Leadership Outcomes and Moderators. Journal of Business Ethics, 139(3), 517–536.Brown, M. E., Treviño, L. K., & Harrison, D. A. (2005
theAPVAWT capstone team has passed will be introduced to show how the engineering students ofthe team design and build the APVAWT system with the Liberty art students. 2.1 Decision Gate 1 – Stakeholder RequirementsThe 1st decision gate is to identify and confirm stakeholder requirements that guide the capstoneteam in understanding what is needed to be accomplished for the project and the class. Here,stakeholders represent all entities who are involved in this project: the capstone team, theclient(s), and the class instructor. Table 1 shows stakeholder requirements the team presentedand is required to fulfill. Table 1 – Stakeholder Requirements for Design and Construction of the APVAWT Task ID Name Description
complicated virtual environments. It is uncertain that the grant program will continue to offerfree credits in the future. Third, students create their own accounts and therefore usermanagement is a problem.In the future, we plan to develop more labs on commercial, public cloud systems and use VirtualPrivate Network (VPN) to connect students’ virtual machines with a central server to providebetter support and monitoring when needed. We are also considering integrating automaticassessment scripts through the central server on the public cloud to provide immediate feedback,which has been done successfully in some labs on our in-house, cloud-based systems.REFERENCES[1] D. Puthal, B. P. S. Sahoo, S. Mishra and S. Swain, "Cloud Computing Features, Issues
Annual Conference and Exposition, Pittsburgh, Pennsylvania. 3. Sheppard, S., Gilmartin, S., Chen, H. L., Donaldson, K., Lichtenstein, G., Eris, O., . . . Toye, G. (2010). Exploring the Engineering Student Experience: Findings from the Academic Pathways of People Learning Engineering Survey (APPLES). TR-10-01. 4. Buse, K. R. (2009). Why they stay: The ideal selves of persistent women engineers. (Doctoral Dissertation), Case Western University, Cleveland, OH. 5. Byars-Winston, A., Estrada, Y., Howard, C., Davis, D., & Zalapa, J. (2010). Influence of social cognitive and ethnic variables on academic goals of underrepresented students in science and engineering: a multiple-groups analysis. Journal of
Technology.References1. E. Barnes, Lecture Notes on Computational Methods, Georgia Institute of Technol- ogy.2. A. Caprara, M. Fischetti and P. Toth, A heuristic method for the set covering problem, Operations Research 47 (1999) 730–743.3. A. Caprara, M. Fischetti and P. Toth, Algorithms for the set covering problem, Annals of Operations Research 98 (2000) 353–371.4. S. Chopra, E. Erdem, E. Kim and S. Shim, Column generation approach to the convex recoloring problem on a tree, Modeling and Optimization: Theory and Ap- plications (MOPTA, Bethlehem, PA, USA, August 2016), Volume 213 of the series Springer Proceedings in Mathematics & Statistics, pp 39-53, 2017.5. S. Chopra, B. Filipecki, K. Lee, M. Ryu, S. Shim and M. Van Vyve, The convex
(PCAST). “Transformation and opportunity: The future of the U. S. research enterprise,” Washington, DC: PCAST, 2012.[2] M. W. Ohland, and E. R. Crockett. “Creating a catalog and meta-analysis of freshman programs for engineering students: Part 1: Summer bridge programs,” in Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition. Montreal, Canada: ASEE, June 16-19, 2002.[3] B. P. An. “The Impact of Dual Enrollment on College Degree Attainment Do Low-SES Students Benefit?” Educational Evaluation and Policy Analysis, 0162373712461933, 2012.[4] A. Gamoran, A. C. Porter, J. Smithson, and P. A. White. “Upgrading high school mathematics instruction
in the field studies reported here. Any opinions,findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References1. Arnold, A. (1999). Retention and persistence in postsecondary education: A summation of research studies. Texas Guaranteed Student Loan Corporation, 5.2. Chang, M. J., Sharkness, J., Hurtado, S., & Newman, C. B. (2014). What matters in college for retaining aspiring scientists and engineers from underrepresented racial groups. Journal of Research in Science Teaching, 51(5), 555-580.3. Hayes, R. Q., Whalen, S. K., & Cannon, B. (2009). Csrde stem retention report, 2008–2009. Center for
the National Science Foundation under Grant No.1148806. 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.References[1] C. A. Wolters, “Self-regulated learning and college students’ regulation of motivation.,” J. Educ. Psychol., vol. 90, no. 2, pp. 224–235, 1998.[2] J. H. Flavell, “Metacognition and cognitive monitoring: A new area of cognitive– developmental inquiry,” Am. Psychol., vol. 34, no. 10, pp. 906–911, 1979.[3] P. Pintrich, “The role of metacognitive knowledge in learning, teaching, and assessing,” Theory Pract., vol. 41, no. 4, pp. 231–236, 2002.[4] O. Lawanto, “Students
affords us thechance to change our curriculum, making improvements based on teacher and student feedback;we will continue to do so, analyzing forthcoming results to gauge the success of the curriculumin changing student perceptions. The continuation of the project presents further opportunities toimmerse ourselves in student design experiences and uncover features that are influential forchanging student perceptions about engineering.AcknowledgementsThis materials is based upon work supported by the National Science Foundation under GrantNo. 1513175-DRL.References1. McGrath, E., Sayres, J., Lowes, S., & Lin, P. (2008, October). Underwater lego robotics as the vehicle to engage students in STEM: The build it project's first year of
in relation toengineering-specific domains of thinking, such as Testing and Design Requirements (criteria andconstraints). Future studies can expand this assessment instrument by testing it in other middleschool classrooms, and they can validate later iterations of this instrument. References[1] Manz, E. (2015). Representing student argumentation as functionally emergent from scientific activity. Reviewof Educational Research, 85(4), 553-590.[2] Sampson, V., & Blanchard, M. R. (2012). Science teachers and scientific argumentation: Trends in views andpractice. Journal of Research in Science Teaching, 49(9), 1122-1148.[3] Ryu, S., & Sandoval, W. A. (2012). Improvement to elementary