. 8References1. Drash, W. (2015). Imagining daddy: A rig worker's daughter and her dreams. Retrieved September 2, 2015, from http://www.cnn.com/2015/04/10/us/oil-rig-victim-families-five-years-later/2. Juhasz, A. (2011). Black tide: The devastating impact of the gulf oil spill. Hobokon, NJ: John Wiley & Sons.3. Li, F. J., Duggal, R. N., Oliva, O. M., Karki, S., Surolia, R., Wang, Z., . . . Antony, V. B. (2015). Heme Oxygenase-1 protects Corexit 9500A-induced respiratory epithelial injury across species. PloS one, 10(4).4. Klimasinska, K. (2012). Deepwater permits in U.S. Gulf exceed pre-BP spill level. http://www.bloomberg.com/news/print/2012-10-17/deepwater-permits-in-u-s-gulf-exceed-pre-bp-spill- level.html5
– Very good).Analysis of program ratings revealed overall satisfaction with the REU program (M = 4.17; Mo =4). Ratings of “Good” or higher, as evidenced by mean and mode responses, were obtained forthe following REU elements: working relationship with research mentor(s) (M = 3.17; Mo = 4);working relationship with research group members (M = 3.75; Mo = 4); the amount of time spentwith research mentor(s) (M = 2.83; Mo = 4); the advice given about careers and graduate school(M = 3.45; Mo = 3); and the research experience overall (M = 3.25; Mo = 3). The REU elementof the amount of time spent doing meaningful research received a “Fair” rating overall (M =2.83; Mo = 2), suggesting an important area of improvement for the research program.Table 5
: Students’ subject preferences and discussions of gender and subjectability. Oxford Review of Education. 26(1), 35-48.2 Younger, M. & Warrington, M. (1996). Differential achievement of girls and boys at GCSE: Some observationsfrom the perspective of one school. British Journal of Sociology of Education. 17, 299-314. Downey, D. B. & Yuan, A. S. V. (2005). Sex differences in school performance during high school: Puzzlingpatterns and possible explanations. The Sociological Quarterly. 46(2), 299-321.3 Hannover, B. & Kessels, U. (2004). Self-to-prototype matching as a strategy for making academic choices. Whyhigh school students do not like math and science. Learning and Instruction. 14, 51-67.4 Peetsma, T., Hascher, T., van der Veen
my path inlearning the skills required to become an engineering librarian at an American University inthe UAE.IntroductionMany academic librarians who liaise with a specific subject area(s), are aware that a certainamount of knowledge about the subject area will help immensely when aiding students andprofessors with their information needs. My own personal experience has shown that with mybackground in biology, I can easily help scientists with library related queries, as I amfamiliar with the terminology. In my first library job, I worked at a medical library in which Iwas required to take a short course in medical terminology to better help the patrons withtheir queries. This short course helped me immensely as I worked in medical
respondents includedinformal oral feedback (oral) during course, one-on-one discussions outside class times,occasional solicited input, and reading reflectionsTable 6 summarizes responses to a question that asked instructors to indicate the types offeedback they give to students (check all that apply). Table 6. Percentage of instructors who provided various types of feedback to students Types of feedback to students % selected Students see graded assignments ① 91.8% Students see graded midterm exam(s) ① 83.6% Students explicitly encouraged to meet individually with you ① 67.2% Students see
. Linda Katehi, Greg Pearson, and Michael Feder, Editors. Committee on K-12 Engineering Education, National Academy of Engineering and National Research Council. Washington, DC: The National Academies Press.3. Davis, L.A. & Gibbons, R.D. (2002). Raising public awareness of engineering. Washington, DC: The National Academies Press.4. Wulf, W. A. (1998, Winter). The image of engineering. Issues in Science and Technology. Retrieved from: http://issues.org/15-2/wulf-2/5. Brophy, S., Klein, S., Portsmore, M., & Rogers, C. (2008). Advancing engineering education in P‐12 classrooms. Journal of Engineering Education, 97(3), 369-387. doi: 10.1002/j.2168-9830.2008.tb00985.x6. Sadler, P.M., Coyle, H.P., &
subjects that might presenta struggle. Peer and professional tutors are available through the academic achievement centerto assist with technical subjects as well as writing and math. The college caters to workingadults by offering courses after typical working hours, on weekends and online. Facultymembers teaching online curriculum have undergone training and use universal course designtechniques (S. Burgstahler, 2006 16) to cater to all learning styles.Student advising starts prior to entering the program. Students meet with a designated Collegeand Career Navigator who is the first point of contact for each student participating in thiscertificate program. The College and Career Navigator assists with the application process andremains a point
? What specific topics or information do you hope will be covered as part of the professional development activities during this summer research experience?The focus of the post-experience survey was to assess academic and developmental outcomesassociated with program participation, as well as students’ experiences. Many of the questionsfrom the pre-experience survey were repeated in the post-experience survey, which alloweddirect comparison of individual answers across the 10-week program. The post-survey alsoincluded a set of open ended questions: What part(s) of the summer program did you find most valuable or helpful? What part(s) of the summer program did you find least valuable or helpful? Please share any
. Frederick, A. Byars-Winston, A.-B. Hunter and J. Handelsman, "Increasing the Persistence of College Students in STEM," Science, vol. 341, pp. 1455-1456, 27 September 2013.[4] J. G. Cromley, T. Perez, and A. Kaplan, "Undergraduate STEM Achievement and Retention: Cognitive, Motivational, and Institutional Factors and Solutions," Policy Insights from the Behavioral and Brain Sciences, pp. 1-8, 2015.[5] L. Espinosa, "Pipelines and Pathways: Women of Color in Undergraduate STEM Majors and the College Experiences that Contribute to Persistence," Harvard Educational Review, vol. 81, no. 2, pp. 209-241, 2011.[6] E. Seymour, A.-B. Hunter, S. Laursen and T. DeAntoni, "Establishing the Benefits of Research Experiences for Undergraduates in
Psychology, 92, pp. 191-201.3. Ansari, J., Ansari, A., Agrawal, K., 2009, “Enhancing Undergraduate Research Infrastructure,” Proceedings of theASEE Annual Conference and Exposition, Austin, TX.4. Evans, M., Welch, R., 2004, “Undergraduate Independent Study Research Projects,” Proceedings of the ASEEAnnual Conference and Exposition, Salt Lake City, UT.5. Meyer, M., Marx, S., 2014, “Engineering Dropouts: A Qualitative Examination of Why Undergraduates LeaveEngineering,” Journal of Engineering Education, 103, pp. 525-548.6. Wilson, D., Jones, D., Kim, M. J., Allendoerfer, C., Bates, R., Crawford, J., Floyd-Smith, T., Plett, M., Veilleux,N., 2014, “The Link between Cocurricular Activities and Academic Engagement in Engineering Education,” Journalof
perceive engineering asan overtly hostile environment – in fact, they acknowledged the challenges but seemeddetermined to overcome them. Sheryl Sandberg’s presence at Facebook will only help.References1. Beede, D. N., Julian, T. A., Langdon, D., McKittrick, G., Khan, B., & Doms, M. E. (2011). Women in STEM: A gender gap to innovation. Economics and Statistics Administration Issue Brief, (4-11).2. Gibbons, M. T. (2009). Engineering by the numbers. ASEE [Internet]. [revised 2009:1-36. Available from http://www.asee.org/papers-and-publications/publications/college-profiles/2009-profile-engineering- statistics.pdf3. Kvale, S. Brinkmann, S. (2009). Interviews, learning the craft of qualitative research interviewing. 2nd
in the Classroom. 3rd Edition, New York, Routledge.5. Leasure, A. R., Davis, L., & Thievon, S. L. (2000). “Comparison of Student Outcomes and Preferences in a Traditional vs. World Wide Web-based Baccalaureate Nursing Research Course.” Journal of Nursing Education, 39: 149-154.6. Cole, R. A. (2000). Issues in Web-Based-Pedagogy: A Critical Primer. Westport, CT: Greenwood Press.7. Barab, S. A., Hay, K. E., Barnett, M., & Squire, K. (2001). “Constructing Virtual Worlds: Tracing the Historical Development of Learner Practices.” Cognition and Instruction, 19 (1), pp. 47-94.8. Brown, J. S., Collins, A., & Duguid, P. (1989). “Situated Cognition and the Culture of Learning.” Educational Researcher, 18 (1), pp
reports on three specific themesthat have emerged from our initial analysis of two interviews with a single research subject. Assuch, our account uses a single case approach, following in the footsteps of groundbreakingscholarship such as Foor et al.’s “ethnography of the particular” which recounts the livedexperiences of one female, multi-minority student pursuing an engineering degree.10 Our dataanalysis is ongoing, and in separate publications we will report results more specificallyconcerned with boundary spanning, including types of boundaries, boundary spanning roles andactivities, and competency demands experienced by early career engineers. Our larger objectivefor this paper is to explore the utility of investigating the realities of
of Engineering Education , 3 (2).9. Karataş, F. Ö., Bodner, G. M., & Unal, S. (2015). First-year engineering students' views of the nature of engineering: implications for engineering programmes. European Journal of Engineering Education , 1-22.10. Jonassen, D. H. (1997). Instructional design models for well-structured and III-structured problem-solving learning outcomes. Educational Technology Research and Development, 45(1), 65-94.11. Katehi, L.; Pearson, G.; Feder, M. A.; Committee on K-12 Engineering Education. (2009). Engineering in K-12 education: Understanding the status and improving the prospects. Washington D.C.: National Academies Press.12. Dym, C. L. (2007). Engineering Design
crossed a threshold of 2.8 V) triggers ahardware interrupt which starts Clock, while a falling edge (indicating that available powerhas dropped below 2.4 V) triggers a second hardware interrupt to stop Clock. The Powermodule is configured to automatically send the system into LPM3 as soon as the systementers an idle state. This will happen while the system is waiting for the Battery OKhardware interrupt and in between Clock ticks. This idle, low-power state accounts forabout 98.6% of overall runtime. The Semaphore module provides an inter-thread signalingmechanism within the RTOS. In this project, a semaphore is posted every 2,000 Clockticks, or every 2 s. The semaphore unblocks the data collection/transmission loop insidethe main system Task
*** AMR of college/university personnel before college -0.07 0.03 * Perception of Future 0.19 0.06 ** Connectedness -0.15 0.06 * Being a Female -0.35 0.15 * College expense provided by parent(s), guardian(s), or family -0.13 0.05 ** College expense provided by oneself -0.18 0.06 ** R2=0.23, p-value=3.91e-07 Legend: * = <0.05, **= <0.01, ***= <0.001The entire model is significant
industry mentorship planning used to increase enrollments of woman and minorities with declared majors in the areas of Computer Sci- ence (CS), Engineering (E), Mathematics (M), and Science (S). Currently, Dr. Kappers is the Program Chair/Assistant Professor of the M.S. in Information Security & Assurance (MISA) within Embry-Riddle Aeronautical University’s (ERAU) College of Business, Worldwide Campus, and teaches within the Col- lege of Engineering for the Daytona Beach Campus of ERAU. Teaching responsibilities include: RSCH 202 – Introduction to Research, CS120 – Introduction to Computing in Aviation, and MISA Program Curriculum as needed. Both positions allow her to stay focused upon real-life educational and
) family arrangement. This assumption appears in theuse of ‘mother’ and ‘father’ as identifiers throughout questions about parents and guardians.Problems with typical approachThe shift of traditional family structures has been well documented31, as has the changing shapeof the modern family30. However, documentation of the shift in familial demographics has notalways been adapted to quantitative instruments seeking to understand more about collegestudents’ parents/guardians. Items seeking information about parent(s)/guardian(s) are used tounderstand students’ family life, to understand their access to education in the form of socialcapital32, and as a proxy for SES. Such items often assume a traditional familial structure: Onefather or male
to explore variation in how engineeringstudents experience innovation. Phenomenography is an established qualitative research methodfor identifying a limited number of distinct ways individuals interact with a particularphenomenon6,7. These distinct ways of experiencing the phenomenon are regarded as resultingfrom the interplay between the characteristics of the individual and the forum(s) through whichthe individual experienced the phenomenon. Several important phenomenographic studies haveoccurred in engineering education over the last few years, including investigations of thevariation in ways engineering students and engineers experience human-centered design8,sustainable design9, and design10. This study aims to continue in that
their desired cloud together with number ofbenchmarks such as matrix multiplications with MPI and/or OpenMP to demonstrate thetransparency and portability of the provided solution.Bibliography1. Peter Mell, Tim Grance, "The NIST definition of cloud computing." 2011.2. Escalante, B. F. (2010). “Cloud Computing Fundamentals”. In Handbook of Cloud Computing. Springer3. Moustafa AbdelBaky, Manish Parashar, Kirk Jordan, Hyunjoo Kim, Hani Jamjoom, A Zon-Yin Shae, Gergina Pencheva, Vipin Sachdeva, James Sexton, Mary Wheeler, Mary F. Wheeler, "Enabling High-Performance Computing as a Service," Computer, vol. 45, no. 10, pp. 72-80, 2012.4. S. Azodolmolky, P. Wieder, R. Yahyapour, "Cloud computing networking: challenges and
Systematic Innovation in Engineering Education: Ensuring U.S. engineering has the right people with the right talent for a global society. Washington, DC: American Society for Engineering Education.Borrego, M., Culter, S., Prince, M., Henderson, C., & Froyd J. E. (2013). Fidelity of implementation of research-based instructional strategies (RBIS) in engineering science courses. Journal of Engineering Education, 102, 294–425.Borrego, M., Froyd, J. E., & Hall, T. S. (2010). Diffusion of engineering education innovations: A survey of awareness and adoption rates in U.S. engineering departments. Journal of Engineering Education. 99(3), 185-207Bryne, B. M. (2006). Structural equation modeling with EQS
the same subject.Second, build a spreadsheet model to solve the calculated problem to test out your formulasbefore you put them into the LMS question. Have a data block in the spreadsheet that shows thelabels for all problem variables, identifies the randomized parameters by name, and includesyour settings for those parameters’ minimum value(s), maximum value(s), and number ofdecimal places. If your LMS has other potential settings for algorithmic parameters, includethose as well. While the formulas and functions are obviously different for a spreadsheet than anLMS formula answer, this step is still valuable for building the question.Having the parameter value settings worked out in advance makes constructing the calculatedquestion in the LMS
in a course. Examining students’ self-reportedconfusion also allows us to assess their understanding with regard to procedural or conceptualissues in statics. We can distinguish whether students’ questions focus on deeper conceptualissues or on more surface procedural tasks. This distinction is relevant, as recent work suggeststhat conceptual questions are most helpful for improving understanding24.In this work-in-progress, we provide initial findings with respect to students’ capacity foraccurate monitoring in statics. Data are drawn from an ongoing study in which students wereasked to reflect and write about their problem-solving ability in an engineering statics course3.Specifically, they were asked to identify the source(s) of their
@jo&V = s (Eq. 13) r N(.@-(trNq?.@@which is second order. Comparing this result to Equation 2, the identified coefficients agree withthe expected form. The identified parameters correspond to a value of 𝐵 ≈ 0.0688Ns/m, usingthe known values of 𝑀 = 0.57kg and 𝑘 = 15N/m.The identified transfer function for the two-cart system is j(.??(-r w Nq@.(pr s j@?.qqrN-@-q 𝐺-jo&V = x (Eq. 14) r N(.@yqqr w N@(yr s Np.zAprN-@?@which is fourth order, and appears similar to the expected form. The consistency of
National Conference. www.nacua.orgBlank, S., & Dorf, B. (2012). The startup owner's manual: K&S; Ranch.Boh, W. F., De-Haan, U., & Strom, R. (2012). University technology transfer through entrepreneurship: faculty and students in spinoffs. The Journal of Technology Transfer, 1-9.Carney, S. (2001). Faculty Start-Ups: The Tangled Web. Paper presented at the National Association of College and University Attorneys. www.nacua.orgCreed, C. J., Suuberg, E. M., & Crawford, G. P. (2002). Engineering Entrepreneurship: An Example of A Paradigm Shift in Engineering Education. Journal of Engineering Education, 91(2), 185-195.Duderstadt, J. J. (2001). Preparing Future Faculty For Future Universities. Paper
; Sheppard, S., & Atman, C. J., & Chachra, D. (2011, June), Motivation Makes a Difference, but is there a Difference in Motivation? What Inspires Women and Men to Study Engineering? Paper presented at 2011 Annual Conference & Exposition, Vancouver, BC. https://peer.asee.org/1881613. Canney, N. E. and Bielefeldt, A. R. (2015). Differences in Engineering Students’ Views of Social Responsibility between Disciplines. Journal of Professional Issues in Engineering Education and Practice, 04015004.14. Watson, M., Ghanat, S., Michalaka, D., Bower, K., Welch, R. (2015) Why Do Students Choose Engineering? Implications for First-Year Engineering Education. Paper presented at 2015 FYEE Conference, Roanoke, Virginia
multimedia learning principles in production. 4. Choose the appropriate interactive activities for your video. 5. When determining an appropriate video length, somewhere in the range of 5-15 minutes is recommended. 6. Make educational video production a team effort rather than a solo activity. 7. Don’t rely just on online videos.Table 3. Re-statement of the seven research-based recommendations for producing onlineeducational videos.References1. Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C., & Norman, M. K. (2010). How learning works: seven research-based principles for smart teaching. John Wiley & Sons.2. Atkinson, R. K., Derry, S. J., Renkl, A., & Wortham, D. (2000). Learning from examples: instructional
-Mona, I. & Abd-El-Khalick, F. (2006). Argumentative discourse in a high school chemistry classroom. School Science and Mathematics, 106(8), 349–361. http://doi.org/10.1111/j.1949- 8594.2006.tb17755.x18. Latour, B. & Woolgar, S. (1986). An anthropologist visits the laboratory. In Labor life: The construction of scientifc facts (pp. 43–103). Princeton University Press.19. Fink, F. K. (2001). Integration of work based learning in engineering education. In Frontiers in Education Conference, 2001. 31st Annual. Reno, NV: IEEE. http://doi.org/10.1109/FIE.2001.96374720. Jonassen, D. & Shen, D. (2009). Engaging and supporting problem solving in engineering ethics. Journal of Engineering Education, 98(3), 235
Paper ID #15385Systems Engineering and Capstone ProjectsDr. Fred J. Looft, Worcester Polytechnic Institute Prof. Looft earned his B..S, M.S. and Ph.D. degrees in Electrical Engineering at the University of Michi- gan. After a brief period on industry, he joined the faculty of WPI 1n 1980 where he is now a professor in the ECE department and a founder of, and Academic Head of the Systems Engineering program. His interests include projects based education, curriculum development, international study abroad programs and mentoring, and autonomous robotic systems.. c American Society for Engineering
framework will serve as a case study of how CMprograms could implement BIM education more effectively and efficiently.References1. Azhar, S. (2011). Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry. Leadership and Management in Engineering, 11(3), 241-252.2. Badger, W. and Robson, K. (2000). Raising Expectations in Construction Education. Proceedings of the 6th Construction Congress, Orlando, FL, February 20-22, 2000, pp 1151-1164.3. Barison, M.B. and Santos, E.T. (2010a). An Overview of BIM Specialists. Proceedings of the 2010 International Conference on Computing and Civil and Building Engineering, Nottingham, UK, June 30 - July 2, 2010.4. Barison, M.B., and Santos, E.T