computerscience while attending the Academic Success class as undergraduates with a CSEMS or SSTEMscholarship. This paper will briefly describe the program and assignments required in theASAP class. About half of the students in the class have scholarships from a National ScienceFoundation S-STEM or STEP grant and are required to take the class each semester they have thescholarship. Class challenges include varying the assignments for students who repeat the classseveral times and to differentiate the undergraduate and graduate student assignments. The paperwill describe the graduate student activities of the last year. These activities suggest innovativeways that graduate students can have their education enhanced and, at the same time, how theycan
of taking the early morning section. Page 24.1407.10Identifying the instructors’ teaching styles and other characteristics that may decrease theconsequences of early morning sections is another way to continue this research. These teachingstyles and characteristics can be shared/promoted among faculty members (e.g., via professionaldevelopment workshops).Bibliography1. Barker, M. S. An Investigation of the Relationship between Selected Demographic Variables and Dual Enrollment Participation on Postsecondary Success for First Time Freshmen. ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521
2014.Nuclear-Pumped Laser (NPL) technology was a part of the strategic defense initiative (SDI)program in the 1980’s. NPLs have since faded from the United States research agenda but theyremain an active part of the research agenda in other countries, notably in Russia and othernations in the former Soviet Union as well as China [1] which has a cooperative agreement withRussia [2]. The reason for this broad interest in the technology is that a NPL can scale to highpower/energy levels (potentially up to 100 MW Continuous Wave (CW) beam power). Militaryapplications have historically dominated the NPL research agenda. However, there aresignificant humanitarian applications for high power/energy lasers. For example a high powerCW NPL would have
cos 0 0 0 0 1 r Page 24.7.5A negative unity feedback control system can then be utilized to control as seen in Figure 4 theSea Fox modeled by a horizontal plane model described previously. The PID for the model canbe implemented for the simulation. Figure 4. Feedback Control System for Horizontal Plane Model [6] – modified from [11]2. Student DesignIf one assumes in the simulation that the USV’s speed is V m/s and is assumed constant, then theSea Fox model can be further simplified for the
knowledge inpractical applications, engineering applications were introduced to the student activity.Students agreed (on a yes/no scale, with 93.3% agree, n=15) to the statement that thismodel “help[s] you to understand the role of mathematics in physics and engineering”.The more surprising result was that students also agreed (73% agree, n=15) to thestatement that the co-teaching model “help[s] you to be successful in this calculuscourse”, when the applications are in the pre-calculus level. Attitudinal data will continueto be tracked for the rest of this academic year. Grade Distribution A baseline measurement through the X Calculus Readiness test is used to measurethe mathematics aptitude of students getting into calculus. The one
higher response rates. Atthis institution, simple acknowledgement of those degree programs with 100% response rates inthe foreword to the summary report and in a meeting of department chairs motivates those withhigh response rates to continue their efforts in the following year. Embarrassment of thoseprograms with lower response rates motivates increased efforts in the following year to improveresponse rate.Finally, for the last two years, an anonymized summary of the survey results has been publishedonline and advertised to current students. Students have thus been able to access informationvaluable to them such as what companies have just recently employed graduates from theirmajor(s), what graduate and professional schools have admitted
and construction industry. Page 24.272.1 c American Society for Engineering Education, 2014 Changing the Course Design to Include Habitat for Humanity Improved Course Outcomes and Broadened Student’s Perceptions of Community ServiceIntroductionArchitectural education often includes course(s) pertaining to the creation of architecturalworking drawings. Working drawings require the individual creating them to have knowledge ofprinciples, conventions, standards, applications, and restrictions pertaining the manufacture anduse of construction materials, components
: Studio STEM Thanks to our Sponsors! This material is based upon workResearch-based supported by the National Science Foundation (NSF) under Grants DRL 1029756 and 1247287. Any opinions, findings, conclusions or Research about student science recommendations expressed in this learning, motivation to learn material are those of the author(s) STEM concepts, engineering design
undergraduate students. Current graduate students: • Yanshu Li, from F’2012, GRA, Ph.D. Student, SUNY at Buffalo, Buf- falo, NY. • Tim Yore, from S’2011, GRA, Ph.D. Student, SUNY at Buffalo, Buffalo, NY. • Guillaume Thomain, S’2011, GTA, Ph.D. Student, SUNY at Buffalo, Buffalo, NY Total number of graduate students advised = 22. Total number of postdoctoral scholars sponsored = 11.Prof. Athos Chariton Petrou, SUBY at Buffalo Athos Petrou is a professor of Physics at SUNY Buffalo. His studies the magneto-optical properties of semiconductor nanostructures Page 24.659.1 c American Society for
and retention. A SWE and ASEE Fellow, she is a frequent speaker on career opportunities and diversity in engineering. Page 24.1275.1 c American Society for Engineering Education, 2014 Transfer Students: Lessons Learned Over 10 YearsAbstract.This paper will summarize the accomplishments of an NSF sponsored S-STEM program fortransfer students. This program had 97 students: 41.2% underrepresented minority, 28.9%female, and 60.8% either female and/or underrepresented minority. Therefore, this programoverrepresented minority engineering and computer science students in the university by
each student population.ReferencesAdelman, C. (1998), Females and Men of the Engineering Path. A Model for Analysts of Undergraduate Careers, U.S. Department of Education, Office of Educational Research and Improvement, Washington, D.C.; U.S. Government Printing Office.Bransford, J., A. Brown, and R. Cocking (Eds) (2000), How People Learn: Brain, Mind, Experience, and School: Expanded EditionBrown, S., L Flick, and T. Fiez (2009), “An Investigation of the Presence and Development of Social Capital in an Electrical Engineering Laboratory”, Journal of Engineering Education, 98(1). 93-102.Bordonaro, M., A. Borg, G. Campbell, B. Clewell, M. Duncan, J. Johnson, K. Johnson, R. Matthews, G. May, E. Mendoza, J. Sideman, S. Winters, and C
time. Let the sample X of the first transmittersequences through an underwater channel system. PN has its corresponding probability p(x). The signal X willsequences are deterministically generated but yet they are transmit down the first channel and will be received as Y1 byalmost like random sequence of 0’s and 1’s with equal the first receiver sensor node, Y2 by the second receiverprobability of occurrence. Information loss can mostly be sensor node, and finally as Yi by the last receiver sensorexpressed as the difference of mutual information and node. During the observation of downstream transmission ofentropy of transmitted signal: signal data from X
accounts for Journal of Marketing, 1963. 27(3): p. 11-15.place in our marketing mix. Publics are the audience being [7] Goldberg, M.E., Social Marketing: Are We Fiddlingsought out to be addressed i.e. the pregnant women. Also, while Rome Burns? Journal of Consumerpeople who have some form of influence on our interested Psychology, 1995. 4(4): p. 347-370.demographic. These include husbands, other family members, [8] Hill, S., F. Provost, and C. Volinsky, Network-Basedphysicians, TV hosts, policymakers, co-workers etc. Marketing: Identifying Likely Adopters via Consumer Networks
,j] otherwise, 0. That is, Figure 2: Output Image for Tree Case 1 0 𝑖𝑓 𝑑! < 𝑡ℎ𝑟 𝑂𝑢𝑡 𝑖, 𝑗 = ______(14) 255 𝑂𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒 Case 2: With input ratio of 3 colors and output 3 colors: Result shown in Fig. 3This Out[i,j] is put in decision frame S that will bedisplayed as result of segmentation.C. Updating the Training Frames Set The frames in the training set are updated after each
-release program are represented, but not what a program does [3].defects as an indicator of quality is questioned. Knowing that Yet, many important program attributes may have more to dothere were a large number of defects during the coding stage with the latter than the former. In the following we introducedoes not mean there will be a lot of bugs in the post release a number of software metrics that reflect semantic propertiesversion too. In contrast, other researchers defined quality by of software products. Gall, C. S In 2008 [16] suggests anusing different concepts such as reliability, availability, lower approach using semantic metrics to provide insight intomaintainability cost and sometimes the
structural health monitoring. Shock andbeen used are specially design with power Vibration Digest, 2006. 38(2): p. 91-130.management and energy awareness [16]. 3. Magazine, S., Editorial: this changes everything—market observers quantify the rapid escalation of wireless sensing and explain its The future for wireless sensors is poised to effects. Wireless for Industry, Supplement tohave a promising growth. As the technology is Sensors Magazine, 2004 p. S6–S8.realized that will enable a wireless transducer to 4
Paper ID #9827Utilizing Think-Aloud Protocols to Assess the Usability of a Test for EthicalSensitivity in ConstructionMr. Kenneth Stafford Sands II, Virginia Tech Kenneth S. Sands II is a doctoral candidate and graduate assistant in Environmental Design and Planning at Virginia Tech. His research focus is on professional ethics and its pedagogy.Dr. Denise Rutledge Simmons, Virginia Tech Denise R. Simmons, Ph.D., is an assistant professor in the Myers-Lawson School of Construction & Civil and Environmental Engineering at Virginia Polytechnic Institute and State University. She holds a B.S., M.S., and Ph.D. in civil
-the- Nation.pdfCullum, J., Hailey, C., Householder, D., Merrill, C., & Dorward, J. (2008). Formative evaluation of a professional development program for high school teachers infusing engineering design into the classroom. Paper presented at the meeting of the American Society for Engineering Education, Pittsburgh, PA.Donna, Joel D. (2012) A model for professional development to promote engineering design as an integrative pedagogy within STEM education. Journal of Pre-College Engineering Education Research (J-PEER), 2(2), Article 2. Downloaded from http://dx.doi.org/10.5703/1288284314866Garet, M. S., Porter, A. C., Desimone, L., Birman, B. F., & Yoon, K. S. (2001). What makes
the best word(s) to branch on at each point to reduce the overall error. The result tends to be a more accurate tree (as each branching word is explicitly chosen to reduce the classification error), but for a non-‐trivial increase in the amount of time needed to identify the appropriate words. Each item took between 8 and 10 hours for this algorithm to identify the final
sustainability into the supply chain supply chain decisions," Journal of Cleaner Production,processes. It has a very low-key influence on the final decision. vol. 16, pp. 1688-1698, 2008.It is indicated that integrating sustainability into the supply chain [8] S. Seuring and M. Müller, "From a literature review to aprocesses is expensive and require a big amount of money especially conceptual framework for sustainable supply chainfor small to medium enterprises. Also, lack of knowledge obviously management. ," Journal of Cleaner Production, vol. 16, pp.appears to be a common hindrance for establishing a sustainable 1699-1710, 2008.supply chain approach. Employees are
-course mod- ule focused on creativity and problem solving leadership and is currently developing a new methodology for cognition-based design. She is one of three instructors for Penn State’s Massive Open Online Course (MOOC) on Creativity, Innovation, and Change, and she is the founding director of the Problem Solving Research Group, whose 50+ collaborating members include faculty and students from several universities, as well as industrial representatives, military leaders, and corporate consultants.Dr. Senay Purzer, Purdue University, West Lafayette S¸enay Purzer an Assistant Professor in the School of Engineering Education and is the Director of As- sessment Research for the Institute for P-12 Engineering
Paper ID #9564CAREER: A Study of How Engineering Students Approach InnovationDr. Senay Purzer, Purdue University, West Lafayette S¸enay Purzer an Assistant Professor in the School of Engineering Education at Purdue University. In 2011, she received a NSF CAREER award, which examines how engineering students approach innovation. She is also a NAE/CASEE New Faculty Fellow. Purzer conducts research on aspects of design education such as innovation and information literacy.Mr. Nicholas D. Fila, Purdue University, West Lafayette Nicholas D. Fila is a Ph.D. student in the School of Engineering Education at Purdue University
similar ones. Where three scored problems in a common areaare assigned, the effect of voluntary un-scored practice is not enough to improve performance ona fourth scored problem, for which no practice is provided, regardless of how practice is 11provided. Given the voluntary nature of the practice problems studied here, and the ease withwhich they can be provided with systems such as PathFinder, their use is recommended,especially related practice problems. Future work can focus on more difficult problems. Studentscan be directly asked why they do or do not use practice problems.References1 Bonham, S. W., Deardorff, D. L., & Beichner, R. J. (2003). Comparison of student performanceusing web and
. Page 24.1181.8One initial clustering effort, based on student self-reports of physical and emotional statedemonstrates a strong relationship in outcomes and emotional state. While this is not necessarilysurprising this result raises questions about what responsibility do instructors have to identifystudents having emotional distress? And, once identified, what are the best strategies for dealingwith the students who score low in self reported wellness?ReferencesAnaya, A. R. and J. G. Boticario (2009). A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks. 2nd International Conference On Educational Data Mining. Cordoba, Spain.Baker, R. S. J. d. (2010). Data Mining. International
graphene based Photovoltaic Specialists Conference, 2005.nanoscale antennas can be designed to harvest energy Conference Record of the Thirty-first IEEE, 2005, pp.from UV light spectrum. 78-81. [8] T. Minemoto, S. Nagae, and H. Takakura, "Impact of spectral irradiance distribution and temperature on the outdoor performance of amorphous Si REFERENCES photovoltaic modules," Solar energy
). A brief background about our motivation is Using the aerial sensor technology, a satellite can detectintroduced first. and classify objects on the earth with the help of propagated signals, or electromagnetic radiation. In 1980’s, Thematic1.1 Tsunami early warning systems (TEWS) Mapper (TM) became the prime instrument in infrared geostationary Satellites Landsats 4, 5 and 6. It is a scanner (or A tsunami is a series of ocean waves generated by sudden sensor) with seven spectral bands
14 [1] Lightman, A. and Sadler, P. (1993). Teacher predictions 12N u m b e r o f S tu d e n ts Strongly Agree versus actual student gains. The Physics Teacher, 31: 162. 10 Agree 8
. (2) 1. sine: ⎡ ⎛ π z ⎞⎤ Using the coupled-mode theory, the reflectivity of the FBG Δn( z ) = Δn ⎢sin ⎜ ⎟⎥ , 0≤ z≤ L (5)is given by [3]: ⎣ ⎝ L ⎠⎦ 2. sinc: k 2 sinh 2 ( sL) R ( L, λ ) = 2 , (3) ⎛ L⎞ s cosh ( sL ) + δ 2 sinh 2 ( sL ) 2 2π ⎜ z
needed by a student or a researcher.15, 16There are a few simple steps to implement a remote laboratory (Figure 1): Figure 1: Basic concept of remote laboratories. a) The first and foremost thing is that the equipment should have interfaceability with a computer (or with a networked device) along with the ability to exchange its input(s) and output(s) as needed to perform experiments. b) The next required item is a local computer that will provide the processing requirement for an experiment along with hosting a graphical user interface (GUI). The GUI will allow a remote user to perform experiments using the local computer without any
ate upd rds A hea ccess processing nd n g a reco lth ing Data s i e car & es car e B upd Acc ealth