college impact was usually the direct relationship of collegeenvironment on student outcomes as expressed in relationship B. Relationship C expresses theconcept that some portion of the outcomes a student realizes was affected by inputs independentof the college environment. Significantly, this model also allows for the analysis of certaininteractions expected by theory that have direct impact on the question being studied. The effect Page 24.486.3of input was expected to be different in different college settings as shown by the AC interaction.This interaction was of particular interest when comparing military academies to civilianinstitutions
the Systematic Characterization of Inquiry Instruction inEarly LearNing Classroom Environments, or SCIIENCE instrument, to measure the efficacy ofour professional development and to improve pedagogical practices in PK-3 classrooms.The SCIIENCE instrument was designed to objectively capture the presence of specific bestpractices outlined in the NRC Framework as they occur within a science lesson and focuses onteacher behaviors. The goals of the SCIIENCE instrument are (a) to provide a standardized toolbased on the NRC Framework for assessing the quality of science and engineering instruction inPK-3 classrooms; (b) to capture the instructional practices that engage students in their scienceand engineering lessons, promote scientific and
, J.R., Crittenden, J.C., Small, D.R., Hokanson, D.R., Zhang, Q., Chen, H., Sortby, S.A., James, V.U., Sutherland, J.W., and Schnoor, J.L. 2003. Sustainability Science and Engineering: The Emergence of a New Metadiscipline, Environmental Science and Technology, 37, 5314-5324.4. Young, T., Powers, S., Collins, A., and Ackerman, N. 1996. A Unified Elective Concentration in Environmental Engineering. Proceedings of the 1996 American Society for Engineering Education Annual Conference & Exhibition, Washington, D.C, June 23-26.5. Newberry, B. and Farison, J. 2003. A Look at the Past and Present of General Engineering and Engineering Science Programs. Journal of Engineering Education, 92(3), 217-224.6. Woolschlager, J
Paper ID #10656Real Collaborative Environments Using Technologies Based on Mobile De-vices and Internet ToolsProf. Carlos Efr´en Mora, La Laguna University Carlos E. Mora is professor of the Maritime Engineering Department at La Laguna University located in Tenerife (Spain). He obtained a master’s degree in Marine Engineering and has been teaching since 2004. His research interests include the use of ITs and mobile devices in engineering education, and other related technologies like augmented reality. He is also qualified as a consultant for the integration of Apple technologies in education, and working towards
. Mohler, J.L. (2008). A review of spatial ability research. Engineering Design Graphics Journal, 72(2), Retrieved from http://www.edgj.org/index.php/EDGJ/article/view/4921. Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. Cambridge; New York: Cambridge University Press.22. McGee, M. G. (1979). Human spatial abilities: Sources of sexual differences. New York: Praeger Publishers.23. McArthur, J.M., & Wellner, K.L. (1996). Reexamining spatial ability within a piagetian framework. Journal of Research in Science Teaching, 33(10), 1065-1082.24. Baenninger, M., & Newcombe, N. (1989). The role of experience in spatial test performance: A meta-analysis. Sex Roles, 20, 327-344.25. Deno, J.A. (1995
Paper ID #9463Energy Inquiry: Hands-on, Inquiry Learning Methods to Enhance STEMLearning by Engaging Students in Renewable Energy Solutions (Research toPractice)Leslie Wilkins, Maui Economic Development Board Leslie Wilkins has served as the Vice President of the Maui Economic Development Board since 1999. She was hired to design, launch and direct the Women in Technology Project with a mission to en- gage girls/women and underrepresented populations into the Science, Technology, Engineering and Math (STEM) pipeline. In its 13th year, the program serves annually more than 14,000 students, educators and industry members
. & Sexton, M. Career journeys and turning points of senior female managers in small construction firms. Constr. Manag. Econ. 28, 125–139 (2010).22. Kyriakidou, O. Fitting into technical organizations? Exploring the role of gender in construction and engineering management in Greece. Constr. Manag. Econ. 30, 845–856 (2012).23. Caven, V. & Astor, E. N. The potential for gender equality in architecture: an Anglo-Spanish comparison. Constr. Manag. Econ. 31, 874–882 (2013).24. Raiden, A. B. & Räisänen, C. Striving to achieve it all: men and work-family-life balance in Sweden and the UK. Constr. Manag. Econ. 31, 899–913 (2013).25. Bhuian, S. N. & Abdul-Muhmin, A. G. Job Satisfaction and Organizational
. Paper presented at the American Society for Engineering Education, Vancouver.5. Burke. (2011, May 15). Colleges, Employers Investing More in Soft Skills Development.6. Ross. (2011). University of Minnesota Program Teaches Social, Professional Networking Skills to Engineering Students.7. Nair, Chenicheri Sid, Patil, Arun, & Mertova, Patricie. (2009). Re-engineering graduate skills - a case study. European Journal of Engineering Education, 34(2), 131-139. doi: 10.1080/030437909028292818. Morrison, T., Maciejewski, B., Giffi, C., DeRocco, E. S., McNelly, J., & Carrick, G. (2011). Boiling point? The skills gap in U.S. manufacturing. Washington, DC: Deloitte and The Manufacturing Institute.9. EOP. (2012). Report to
students for productive careers in research—either in academia orindustry—by means of (a) introducing students to the research process; (b) mentoring students tobecome independent, intellectual thinkers; and (c) teaching the art of technical communication.With their application form, students select two of the 4 tracks, which helps matching selectedapplicants with research projects in their favorite topics within neural engineering.Each student research team has a research project and receives the support of one main facultyadvisor, one graduate coach, and two or more supporting faculty advisors who work in a similararea of research as the main faculty advisor. The main faculty advisor defines the generalhypothesis/ goal of the research project
for 12.5% (6 projects) of the projects. • A rate of return method was used for 8.33% (4 projects) of the projects. Page 24.771.4 • Both the manufacturing costs and breakeven analysis was performed for 4.167% (2 projects) of the projects. • The following methods were used by 2.08% (one project) of the projects: B/C ratio, estimation, future worth, and life cycle costs. • For industry types having more than four projects, no specific economic analysis method was used for all projects within that category.Figure 1: Number of engineering economic analysis methods used by the 48 projects. Forexample, 18.75% of the
://www.cc.gatech.edu/projects/lbd/home.html 7. P5BL Lab. http://pbl.stanford.edu/ 8. Graham, R., Crawley, E. (2010). Making projects work: a review of transferable best practice approaches to engineering project-based learning in the UK, Engineering Education: Journal of the Higher Education Academy, Engineering Subject Centre, 5(2) 9. Blumenfeld, P.C., Soloway, E., et. al. (1991). Motivating project-based learning: sustaining the doing, supporting the learning. Educational Psychologist, 26 (3&4) 10. Olds, B. M., Miller, R.L. (2004). The effect of a first-year integrated engineering curriculum on graduation rates and student satisfaction: a longitudinal study. Journal of Engineering Education, 93 (1) 11. West Point Bridge
Medical Education, New York, N.Y., Springer, 1980.17. Barrows, H. S., “Problem –Based Learning in Medicine and Beyond: A Overview,” in Wilkerson, L. and W.H. Gijselaers, eds., New Directions for Teaching and Learning, no. 68,pp.3-11, San Francisco, Cal.: Jossey-Bass Publishers, 1996,18. Woods, D.R., Problem –Based Learning: How to Gain the Most from PBL, Waterdown, Ontario: Donald R. Woods, 1994.19. Allen, D. E., Duch, B. J., and Groh, S. E., “The Power of Problem-Based Learning in Teaching Introductory Science Courses,” in Wilkerson, L. and W.H. Gijselaers, eds., New Directions for Teaching and Learning, No. 68, pp.3-11, San Francisco, Cal.: Jossey-Bass Publishers, 1996.20. Tan, O.S., Problem-Based Learning
students.The paper is organized as follows. Section 2 presents the CPBL-beyond-Classrooms pedagogicalmodel, analyzes its unique features, and summarizes effective implementation strategiesdeveloped throughout the project duration. Section 3 provides a concrete example to show howto incorporate CPBL beyond-classroom into networking courses at senior level. The results oflongitudinal study based on multi-year assessment data are presented in Section 4, and Section 5concludes the paper. B. CPBL-beyond-ClassroomB.1 Unique Pedagogical FeaturesAs mentioned above, CPBL-beyond-Classroom can be viewed as an extended pedagogic modelbased on CPBL. While both models utilize well-designed project sequences to build up students’knowledge and skills progressively
/ pep band arrangements have been performed before national audiences at Purdue athletic events and at a Bands of America Marching (BOA) Finals Exhibition Performance by the Purdue AAMB Trombone Section. Some of these arrangements are immensely popular on the Internet via YouTube. Cox is in demand as a festival adjudicator, clinician, and conductor. He has adjudicated concerts, march- ing, and solo and ensemble festivals for the Indiana State School Music Association (ISSMA) and has served as a consultant and clinician in numerous Indiana schools and for music programs in the Metropoli- tan Nashville, Chicago, and Atlanta Public School Systems. Cox has conducted a number of groups, including the Lafayette (IN
-0.2assignmentsDifficulty of subject matter 3.1 3.2 +0.1Student Description:I worked harder on this course than on 3.6 4.1 +0.5most courses I have takenI really wanted to take this course 3.9 3.5 -0.4regardless of who taught itAs a rule, I put forth more effort than 3.6 4.1 +0.5other students on academic work Table 1. IDEA Evaluation Results – Summarized Page 24.1201.11ReferencesBloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R., Taxonomy ofeducational objectives: the classification of educational goals; Handbook I: Cognitive
Paper ID #8719Using MIT App Inventor in an Emergency Management Course to PromoteComputational ThinkingDr. HuiRu Shih P.E., Jackson State University Dr. HuiRu (H.R.) Shih is a Professor of Technology at Jackson State University (JSU). He received his Ph.D. degree in Mechanical Engineering from the University of Missouri. Dr. Shih is a registered professional engineer in the state of Mississippi.Dr. Jacqueline M Jackson, Jackson State UniversityCassandra L Hawkins Wilson, Jackson State UniversityDr. Pao-Chiang Yuan, Jackson State University Dr. Yuan received his Ph. D in Civil Engineering (Environmental/Water Resources
Paper ID #8600On Engineering Design Education: Exposing Students to Design KowledgeDr. Waddah Akili, Iowa State University Waddah Akili is an academician and a civil engineering consultant in Ames, Iowa. Has published in various fields including: geotechnical engineering, foundations, and pavement materials & design. He has been involved with contemporary engineering education issues, addressing a wide range of topics of interest and relevance to engineering institutions and practicing engineers, in the US and abroad
] Page 24.789.14 Figure 1 The Four Pillars of FigureManufacturing 1 Graphic Representation Knowledge (SME 2011) of the Four Pillars of Manufacturing Knowledge [Used with permission from the Society of Manufacturing Engineers] A B C D E F G H IFigure 2 Aspects of the Four Pillars of Manufacturing Knowledge that are directly relatedto Materials Science. The letters refer to elaborations about materials/manufacturingrelationships in the subheadings within Section 5 of this paper. See also the overalldiscussion in Section 5 on the Materials section of the Four Pillars model
/externship(summer after 1st year, 2nd year, etc.). Other factors reviewed include: (a) overall goals for theinternship/externship; (b) type of internship/externship host institution (e.g., company,government lab, academic medical center); (c) source of housing and travel financial support forthe internship/externship; (d) policies for ownership of intellectual property generated during theinternship/externship; and (e) assessment methods used to evaluate the effectiveness of theinternship/externship.Introduction The investigators lead a biomedical engineering graduate training program in ImagingScience and Informatics, funded by a training grant (T32) from the National Institute ofBiomedical Imaging and Bioengineering (NIBIB). This
to remain in the engineering environment,and other performance measures that are measured on time scales in between the short and thelong haul. This paper reports on preliminary analyses of these measures between two verydifferent university environments. While all measures in this study assess the way a studentfeels about his or her engineering program, different measures look at distinctly different aspectsof the affective experience in how students perceive their (a) own ability (self-efficacy); (b)chosen field and program (task value); (c) allies in the program (peer support and facultysupport); and (d) institutional culture (university belonging
. Page 24.593.10References[1] Dagan, B. (2008). Master data management systems to be useful for ccs, other functions. Natural Gas, 24(10), 25-29. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=31872515&site =ehost-live [2] Dyché, J., & Levy, E. (2006). Serving many masters: a closer look at MDM; as important to business strategy as the EDW was, the processing of the item master was ultimately much more critical to business operations. swtuopproxy.museglobal.com. Advance online publication. Retrieved from swtuopproxy.museglobal.com/MuseSessionID=fd925b9615e67115f7e6173a6599 d7e2/MuseHost=proquest.umi.com/MusePath/pqdweb?index=0&did=145494226 1&
Paper ID #9569Social Responsibility Attitudes of First Year Engineering Students and theImpact of CoursesDr. Angela R Bielefeldt, University of Colorado, Boulder Angela Bielefeldt, Ph.D., P.E., is a Professor in the Department of Civil, Environmental, & Architec- tural Engineering at the University of Colorado Boulder. She has been on the faculty since 1996. She serves as the ABET Assessment Coordinator for the Department. Professor Bielefeldt teaches introduc- tory courses for first year engineering students, senior capstone design, and environmental engineering specialty courses. She conducts engineering education
were integrated intothe curriculum and introduced at three high school sites, i.e.; two in Arizona and one in Teaching Energy Concepts using Chain Reaction Machines (Work in Progress)Trinidad and Tobago. A total of 65 students ranging from age 13 to 18 participated in theexperience.This paper presents: a) detailed account of the design of the energy and anaerobicdigestion module and b) descriptions of the ways students applied this learned knowledgein the design and development of their chain reaction machines. The paper concludeswith a discussion of how this experience can be adapted for inclusion in formal, in-classscience courses at the middle and high-school level.Overall Structure of the STEAM Machines
Structural Equations Modeling,” Manag. Inf. Syst. Q., vol. 22, no. 1, p. 14, Mar. 1998.[8] S. J. Finney and C. DiStefano, “Non-Normal and Categorical Data in Structural Equation Modeling,” in Structural Equation Modeling: A Second Course, United States of America: Information Age Publishing, Inc., 2006, pp. 269 – 314.[9] C. M. Cunningham and C. P. Lachapelle, “The impact of Engineering is Elementary (EiE) on students’ attitudes toward engineering and science,” in ASEE Annual Conference and Exposition, Louisville, KY, 2010.[10] IBM Corporation, IBM SPSS Statistics for Windows. Armonk, NY: IBM Corporation, 2012.[11] L. K. Muthén and B. O. Muthen, Mplus. Los Angeles, CA: Muthén & Muthén, 2012.[12] D. Hooper, J. Coughlan, and M. R
Page 24.469.7 blank, or numerical questions. The quizzes were worth 10% of the course grade and the students received their score as soon as they submitted their answers. We allowed the students to retake the quiz as many times as they wanted until they got the score they were satisfied with. Most students ended up cycling through the entire pool of questions each week. While this did not force the students to read the entire chapter, at least it helped them read the parts of the book that we thought were the most important by our choice of question. Typical questions are listed below:! 1) To improve the lifetime of a part that experiences fatigue you can: A. Paint the surface B. Lower the mean
deprived of the opportunity to take background courses such as 2D-signal processing,computer communications, radiography, and sensors and instrumentation. Compare to traditionalelectrical engineering students, the lack of hands-on lab experience becomes more apparentwhen students are working on capstone senior projects.One strategy we used to solve this issue was to include a mixed capstone project groupcomprising of computer, electronic, and biomedical engineering students. This strategy workedfor few groups but the success rate was less than thirty five percent due to the students’ lack ofpreparation and disadvantage of knowledge compared to traditional electrical engineeringstudents.To rectify this situation we proposed and developed this
Paper ID #8815Career Self-efficacy of the Black Engineer in the U.S. Government WorkplaceMr. Scott Hofacker PE, US Army Dr. Hofacker is a recent graduate of The George Washington University’s Graduate School of Education and Human Development. His research area is the career self-efficacy of racially underrepresented mi- norities in the engineering workplace. Dr. Hofacker is also the Concept Design and Assessment Focus Area Lead for the US Army’s Aviation and Missile Research, Development and Engineering Center at Redstone Arsenal, Alabama. He is responsible for the strategic planning of science and technology efforts
courses available from edX,Coursera, and Udacity and other courseware providers. Fig. 4 presents the virtual experiment Page 24.351.6associated with curriculum resources available at the web-based massive open online course(MOOC) platform edX, d a b e c Figure 4. Virtual experiment on X-ray powder diffraction integrated with the MIT course “Introduction to Solid State
. Our analysis of ratings for each of the 11 skills(not counting “sensitivity to time” and “taking questions”) shows, in general, that the reliabilityof the overall rubric is acceptable. However, there is some variation in the reliability of eachskill. In particular, for the overall results we see a. High reliability for 10 of the skills, b. Moderate reliability for an additional 1 skill.Specific results for each skill and in each setting are displayed below. Page 24.605.8Industrial Engineering Session inter-rater reliabilityAs shown in Table 2, in this session, for pairwise comparisons, every skill demonstrates
curveswith MATLAB allows students to visually solve for the (x,y) coordinates of their intersections,thus answering actual physics concepts of trajectories.For example, students typically know that a projectile thrown at a 45° angle will travel thefurthest distance. However, if there is a sloped hill, some students mistakenly believe that 45° isstill the angle that will lead to the furthest distance travelled. In the following lab example, thecurve is a polynomial of the second degree. Yet, the graphical approach applied here is identicalto the cable tension that finds the intersection of the curves and solves for physics property of thetrajectory as shown in Figures 5 and 6. (Refer to Appendix B for the complete example of Mini-Project #2