-persisters. The gender-based analysis showed that non-persisting femalestudents have higher mathematics scores compared to persisters. Moreover, female leavers didnot have the same low grades as male leavers. These results suggest that female students havethe academic ability to complete an engineering degree, but not the interest7.Mendez et al.'s research showed that gender is not an important factor in persistence. Theiranalysis showed that rates of persistence are similar within subgroups of the data defined bycumulative GPA and number of STEM courses taken. In other words, once women decide tomajor in a STEM field, they persist at the same rate as men14.II.b. Internalization and Perceptions of Major and CareerStudents are affected in varying
challenge students to apply the information taught through modeling a system, analyzingit, and presenting a solution(s) complete with units and an interpretation of the physicalphenomena examined. Given that time is a premium in the academy and project creation is atime consumer, three original projects, which may be injected into any Calculus III, DifferentialEquations, or Engineering Mathematics course, have been created. The aim is to increase the useof projects in courses where the intent is there but creation time is the mitigating factor. Thispaper includes projects that tackle first-order ordinary differential equations (ODEs), second-order ODEs, and multivariable calculus.IntroductionIn some mathematics courses, students are asked to
their surroundings, or we will never be able to resolve our pressing societal needs.”16References1. Allenby, B. R.; Allen, D. T.; Davidso, C. I. (2007) Teaching Sustainable Engineering, J. Ind. Ecol., 11 (1).2. Huntzinger, D. N.; Hutchins, M. J.; Gierke, J. S.; Sutherlan, J. W. (2007) Enabling Sustainable Thinking in Undergraduate Engineering Education, Int. J. Engng Ed., 23 (2), 218-230. Page 25.1467.143. Perdan, S.; Azapagic, A.; Clift, R. (2000) Teaching Sustainable Development to Engineering Students, Int. J. Sustain. High. Educ., 1 (3), 267-279.4. Rowan University’s Official Website (2011) College of Engineering
Conference, San Diego, CA. 12. Hmelo-Silver, C. E. (2004, September). Problem-Based Learning: What and How Do Students Learn? Educational Psychology Review 16 (3). 13. McKenna, A., Walsh, J., Parsek, M. and Birol, G. (2002). Assessing Challenge Based Instruction in Biomedical Engineering. Proceedings of the American Society for Engineering Education (CD-ROM DEStech Publications ) Session 2218. 14. Zubaidah, S. (2005). Problem–Based Learning: Literature Review. Singapore Nursing Journal, 32 (4), October-December: 50-54. 15. Pandy, MG, Petrosino, AJ, Austin, B and Barr, R.. (2004). Assessing Adaptive Expertise in Undergraduate Biomechanics. Journal of Engineering Education 93: 211-222. 16
impact theremodeling materials and teaching with constructivist engagement principles can have on studentattitude, learning, and retention.The authors of this paper acknowledge the support of this research by NSF grants #0836041 and#0737146References1. Donovan, M. S., Bransford, J. D. & Pellegrino, J. W. (Eds.) (1999). How people learn: Bridging research and practice. National Academy Press, Washington, DC.2. National Academy of Engineering (2005). Educating the Engineer of 2020: Adapting Engineering Education to the New Century. Washington D.C.: The National Academies Press, www.national-academies.org.3. Krause, S., Kelly, J., Triplett, J., Eller, A., and Baker, D. (2010). Uncovering and Addressing Some Common Types of
. A closer look at the impact of the humanitarian aspect of student involvement with aproject will shed light on the impact of participation in HFOSS versus participation in FOSS.Acknowledgement Page 25.1192.11This material is based on work supported by the National Science Foundation under GrantsDUE-0958204, DUE-0940925, CISE- 0722137, and CISE-0930934. Any opinions, findingsand conclusions or recommendations expressed in this material are those of the author(s) and donot necessarily reflect the views of the National Science Foundation (NSF).Bibliography1. Software Engineering 2004 – Curriculum Guidelines for Undergraduate Degree Programs in
the end of their second semester, could be a reason for thisdifference.Table 1. Student survey responses regarding note taking.Questions (15 Respondents) N R S QO VOI take notes in DyKnow by writing with the stylus. 4 9 1 1 0I take notes on my computer by writing with the stylus in a 7 2 2 1 3program other than DyKnow (e.g., One Note).I take notes in DyKnow by typing. 2 4 6 1 2I take notes on my computer by typing in a program other 4 3 6 1 1than DyKnow (e.g., Microsoft Word).I take notes with pen and paper. 6 0 1 4 4N = Never, R = Rarely
leastwe could identify the course title, instructor(s) of the course, and a list of main topics of thecourse. Most of the sites contain much richer contents than the aforementioned minimum amountof information. Among the additional information found on these sites include teachingschedules, topics discussed in the course, lecture notes, detailed homework and projectassignments, and any combinations of the above. In the end, information from a total of 38course websites is collected. Twenty-eight courses of the 38 total have been taught since 2007 (afive-year window through spring 2012). A list of these 28 course websites is in Appendix A.4. Course Titles, Goals, and ObjectivesCollectively the following different course titles are used in the
emphasized by these programs and the value proposition they communicate tostudents. More research is necessary to refine program-level frameworks for teaching innovation,program and course-level course competencies, and the manner in which teaching innovation canbe applied to different disciplines. Page 25.1259.14References1 "A Strategy for American Innovation: Driving Towards Sustainable Growth and Quality Jobs", Washington, DC, 2009.2 Baregheh, A., J. Rowley, and S. Sambrook," Towards a multidisciplinary definition of innovation", Management Decision Vol. 47, No. 8, 2009, pp. 1323-1339.3 Baily, M., K. Dynan, and D. Elliott, "The
State University Kyungsuk Park is a researcher in College of Education at Kyungpook National University in S. Korea. She received her M.A. and Ph.D. in technology education from the Ohio State University.Ms. Shaobo Huang, Utah State University - Engineering Education Page 25.691.1 c American Society for Engineering Education, 2012 High School Student Engineering Design Thinking and PerformanceAbstractOur vision is to improve the STEM learning and teaching environment for high school studentsthrough their understanding of engineering design. Engineering employs principles ofmathematics and
forrstudents. What were available weere several resources r foccused on thee constructionn industry thhatcould be used to expo ose students to better unnderstand tim me value of m money. Simoonson7 (20055),“Diggingg into Constrruction Dataa” Business Economics-A E April 2005, ddescribes booth free and ppaiddata sourrces. Some free fr resourcees include thee Bureau of Census, the Bureau of E EconomicAnalysis (BEA) and the Bureau of o Labor Staatistics (BLS S). Aside from m a wealth oof informatioon 8about con nstruction laabor in a speccific
coverage of these important broader considerations, andthus to provide opportunities for broader ways of thinking in engineering education. Commonapproaches to teaching engineering design incorporate some of these ways through project-basedlearning, which finds instantiation in senior capstone design projects [6, 7], first-year cornerstonedesign projects [7], and service learning [7, 8]. Closely related, the Aalborg problem-based learning(PBL) model also focuses on contextualizing learning and problem-solving [9]. Litzinger et al.’s[10] discussion of expertise and engineering education emphasizes the importance of the “context-rich, multifaceted problems” commonly embedded in all of these approaches.Empirical research on engineering design
the co-created design and thedesigners’ implicit mental models.13,14,15,16,17,18 In the design communities of practice, mentalmodel(s) lead to mathematical, narrative, and graphical model(s), which lead to the final product– the design and its physical embodiment. In 2005, the Design Council19 conducted a large-scalestudy of the design process in eleven different companies and created a general description of theprocess. Furthermore, the design process was demonstrated by IDEO, a design and innovationconsulting firm, for the ABC news show Nightline in a story that aired on July 13, 1999. Thedesign process shown in the IDEO story, called The Deep Dive20, represents best practices indesign and is used to elicit participants’ mental models
in industry, while Pavitt (1998) describes such research as “augmenting the capacity of business to solve complex problems.” See N. Rosenberg, and R. R. Nelson, “American universities and technical advance in industry,” Research Policy, 23:323-348, 1994. See also K. Pavitt, “The Social Shaping of the National Science Base,” Research Policy, 27:793-805, 1998. 34Y. S. Lee, “The Sustainability of University-Industry Research Collaboration,” Journal of Technology Transfer, 25(2), 2000. 35Bronwyn Hall, “University-Industry Research Partnerships in the United States,” Kansai Symposium Paper, February 2004. 36Some analysts point out, however, that not all universities are structured
: Page 25.641.7 cp d& d& ≥ 0 Fnormal = A kp d + A (21) & d& < 0 s p cp d d& = vn i ni (22) Contact surface r Contact n point
TypeThe Myers Briggs Type Indicator (MBTI) is similar to Felder-Silverman Learning Style, but islinked to personality preferences as shown in Table 2. MBTI includes four categories of how anindividual processes and evaluates information.29 The first category describes how a personinteracts with his or her environment. People who take initiative and gain energy frominteractions are known as Extroverts (E). Introverts (I), on the other hand prefer more of arelatively passive role and gain energy internally. The second category describes how a personprocesses information. People who process data with their senses are referred to as Sensors (S),and a person who sees where data is going in the future is called an iNtuitor (N). The Sensorversus
collected to confirm that biotin-FITC could be bound to streptavidincoated 96-well plates. Data plotted on a fluorescence vs. log of concentration graph show thetypical S-shaped curve for adsorbed species with a minimum detection limit of 50 μM and max-imum value of 5 mM of Biotin-FITC. The next experiment was to determine if the biotin-inhibitor could capture the DAPI-LNCaPs on the coated plastic surfaces. DAPI or 4’6-diamidino-2-phenylindole is a fluorescent stain that binds strongly to A-T rich regions in DNAthat excites at 358 nm and emits at 461 nm. Preliminary results suggest when more PCTCs are insuspension there is indeed a higher fluorescence intensity than less concentrated suspensions andboth high and low suspension concentrations result
assessment s to evaluate my 35%tiveness as a teacher, so I to know more about howata will be used before Into this. 18%assessment stuff is just 12% 0%her fad foisted on us byeditation agencies and is of e to me as a faculty 0% ber. A1 A2 A3 A4
of Requirements 4 One thing needs work 3 Few things need work (criteria for success, constraints, assumptions, or limitations) 2 Missing all or most of the standard introduction parts of the memo.Table 3. Share-Ability (Ease of Use) Score SummaryScore Description of Requirements 4 Easy-to-read-and-use procedure in memo format. 3 Readable and usable, but not in memo format. 2 Procedure is difficult to read and useThe 60 teams received feedback from 152 students; each team received between 1 and 4 peerreview(s). The 152 peer reviews were then qualitatively analyzed to understand the nature of the Page
AC 2012-5244: EXPANDING THE CONCEPT OF REMOTE ACCESS LAB-ORATORIESDr. Alexander A. Kist, University of Southern Queensland Alexander A. Kist received the Ph.D. degree in communication and electronic engineering from RMIT University, Melbourne, Australia, in 2004. His research focused on performance modelling and evaluation of SIP Protocol based 3G Signalling IP networks and the development of methodologies to enable QoS Signalling in multi-service IP networks. He received his bachelor;s degree, Diplom-Ingenieur (FH), in telecommunications engineering from the University of Applied Science Offenburg, Germany, in 2000. The thesis on the problem of synthesising of partially link-disjoint paths in a network was
is much higher than the average (13%) of found articles. Table 3: Author results: C. Giles; director of CiteSeerX project Articles found Articles INSPEC Compendex Web of Science CiteSeerX Journals 4 2 2 4 2 Conferences 12 3 11 N/A 10 Total 16 5 13 4 12Similar result occurred with the publications of Dr. S. Gauch, a researcher involved with theCiteSeerX project. Dr. S. Gauch is also a faculty member at the University of Arkansas. Elevenout of 33 articles
from the Technical University Graz, where he focused on software quality and software development process assessment and improvement. He is Manager of HM&S IT-Consulting in Graz and provides services for SPiCE/ISO 15504 and CMMI for development as a SEI-certified instructor. He performed more than 100 process assessments in software development departments for different companies in the finance, insurance, research, automotive, and automation sector. Currently, his main occupation is a consulting project for process improvement at the Electrics/Electronics Development Department at Volkswagen in Wolfsburg, Germany. On Fridays, he is teaching computer science introductory and programming courses at Joanneum
a Kansas State University subscription portal of the Knovel database, accessed 12 January2012.9 "Knovel announced its partnership with the Instrumentation, Systems, and Automation Society (ISA) to providenew content to subscribers of Knovel's online technical reference collection." Online Nov.-Dec. 2007, p.8.10 Jay Bhatt, W. Charles Paulsen, Lisa G. Dunn, and Amy S. Van Epps, “Vendor Partnerships With EngineeringLibraries Partnering with Knovel: Case Studies in Information Outreach,” Proceedings of the 2005 AmericanSociety for Engineering Education Annual Conference & Exposition, 2005.11 Technology Accreditation Commission of the Accreditation Board of Engineering and Technology, “Criteria forAccrediting Engineering Technology Programs
field over the next five years. Nearly allstudents (94%, 17 of 18 students) reported that participation in the IRAM course(s) had betterprepared them to work in the IE field. Of the 10 students who provided suggestions on how tofurther improve the IRAM laboratory or the courses, all reported that the both the courses andlaboratory could be improved by providing more access to and use of modern robotics andautomation equipment. One student suggested including guest speakers who are currently Page 25.715.11working in the field as a part of the courses.Early evidence also indicates that students are having some success
well. Boylan3 provides data from theAmerican College Test (ACT) high school profile that shows the percentage of students planningto major in engineering has decreased from 8.6% in 1992 to 5.3% in 2003 which magnifiesconcerns given the rising need for engineers and the aging of the current engineering workforce.Furthermore, findings from a 2010 study by the National Research Council’s Committee onExamination of the U.S. Air Force’s Science, Technology, Engineering, and Mathematics(STEM) Workforce Needs in the Future and Its Strategy to Meet Those Needs indicate that “as aconsequence of inadequate educational opportunities in elementary and high school, careers inscience and engineering (S&E) become beyond the reach of students who might