. The Behavior latent variable is defined by the DISC instrument as a measurement model,where the four manifest variables Dominance (D), Influence (I), Steadiness (S), and Compliance(C) are depicted in Figure 3 [18] [19]. D I BEHAVIOR S C Figure 3. Hypothesized KEEN-TTI DISC Measurement ModelIn a similar fashion the Motivation and Skills latent variables are described by specific manifestvariables derived from TTI questionnaire items. The Motivation latent model is described by sixmanifest variables: Theoretical (TH), Aesthetic (AE
Research We reviewed a total of 13 studies for the second component of our critical analysis.First, we reviewed classic retention studies by Astin 4,29 and Tinto 30, which have been frequentlycited as germinal research linking the construct of social engagement to college student retentionand/or academic success. Nora et al.’s study6 was reviewed as an example of more recentempirical investigations using an extensive national dataset. Next, we analyzed 10 empiricalstudies that examined relationships between peer-oriented social engagement and measures ofcollege student adjustment/persistence (e.g., retention, GPA, other persistence measures) inengineering education. We specified four criteria for the inclusion of a study in our review: a
has always been believed that if there is a “fit”between the learner‟s preferred teaching style and method of instruction, the outcome wouldbe happier and more academically successful learners, although research often fails to sustainthis theory6 . As observed from the reviewed literature, one of the main problems inassociating the magnitude of data to successful learning is that knowledge is augmenting at anexponential rate7, 5. If teaching concentrates merely on content and opportunities to developmeta-cognitive strategies are limited, alumni will experience significant difficulty keeping up-to-date with their respective disciplines5. Whilst joining in with the debate, Kolb8 saw learningas a cyclical process comprising of a series of
graduation rate, assuming continuous enrollment).Ohland et. al. [4] present an extensive analysis of retention measures and studenteducational experiences at the undergraduate level. This paper uses the large, multi-institution dataset MIDFIELD (Multiple-Institution Database for InvestigatingEngineering Longitudinal Development) which contains records of over 75,000 studentsin engineering during the years of 1988 through 1998. Ohland and his colleagues [4, 7]determined that eight-semester persistence is highly predictive of six-year graduationrates. But, using eight-semester persistence can underreport the persistence of women tograduation. In general, it is shown that paths of persistence are nonlinear, gendered andracialized, so that it‟s
onReflections. Some quotes on the personal impact of filling in Meta Reflection on Reflections areshown below. Some quotes include:Wrap-up on Points of Interest: Across a semester what was the impact of Interest Points on your attitude & interest?"Relating things to my daily life helps me to retain info better"Wrap-up on Muddiest Points:Did your responses to Muddiest Points help you identify your issues on content andconcepts?"The muddiest point helped me realize what I may not be aware of"Did discussing Muddy Point(s) at the start of next class help your understanding (or not)?"Questions other people asked helped because, many times they were questions I didn't think toask"Wrap-up on Learning Points: Did your responses on Learning Points help you
and Medium-sized Enterprises (SMEs) face different barriers to implement sustainablepractices. Some of the major barriers were consolidated by Natarajan & Wyrick (2011)6. The Page 25.579.3major barriers were finance, lack of expertise, lack of information, and company culture.Similarly there were factors that motivated firms towards better environmental practices. Themajor motivators were legislation, owner(s) perspective, customer demands, and internal drive.SMEs struggle with understanding environmental sustainability due to the lack of people withsustainability education in their organization. In addition an owner or a group of owners
time. The technologies included in the broader definition also follow the commonpatterns of adoption and diffusion. Page 25.746.2A technology forecast includes the study of historic data to identify one of several commontechnology diffusion or substitution trends. Patterns to be identified include constant percentagerates of change (so-called “Moore‟s Laws”), logistic growth, logistic substitution, performanceenvelopes, lead/lag (precursor) relationships, anthropological invariants and other phenomena.QTF projections have proven accurate in predicting technological and social change in thousandsof applications as diverse as consumer electronics
Page 25.1251.7delivery and teaching pedagogy. Evaluation results show positive learning experiences.Future work includes more pilot-testing in biomedical engineering courses.AcknowledgmentPartial support for this work was provided by the National Science Foundation's Course,Curriculum, and Laboratory Improvement (CCLI) program under Award No. 0837584. Anyopinions, findings, and conclusions or recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of the National Science Foundation.Bibliography1. Y. Guo, S. Zhang, H. Man, and A. Ritter, “A Case Study on Pill-Sized Robot in Gastro-Intestinal Tract to Teach Robot Programming and Navigation”, Proceedings of ASEE Annual Conference and
GC 2012-5643: DESIGN EDUCATIONS FOR STUDENTS AT MECHANI-CAL ENGINEERINGHaeseong J. Jee, Hongik University Haeseong J. Jee, Professor, Hongik University B. S. in Mechanical Engineering, Seoul Nat’l University in Korea Ph. D. in Mechanical Engineering, MIT NIST in Gaithersburg, Maryland Professor, Department of Mechanical Engineering, Hongik University in Korea Page 17.14.1 c American Society for Engineering Education, 2012DESIGN EDUCATIONS FOR STUDENTS AT MECHANICALENGINEERINGHaeseong J. Jee, Professor, Hongik UniversityB. S. in Mechanical Engineering, Seoul Nat‟l University in Korea Ph. D. in
scenarios, the students are asked to determine the most important problem/s and to discuss stakeholders, impacts, unknowns, and possible solutions. Finally, after the discussions have concluded, trained faculty raters use the analytical Engineering Professional Skills (EPS) rubric to measure the group’s performance associated with the entire set of ABET professional skills. The EPSA method is flexible, easy to implement, and can be used at the course or program level for teaching and measuring engineering professional skills. EPSA Discussion Prompts The discussion prompts direct the students to imagine that they are a team of engineers working together for a company or organization on the problem/s
biomechanics.Student Roles To ensure active participation and student preparation, each student was assigned a role.Students rotated among the roles approximately equally throughout the semester in a self-selected order. To promote effective preparation, an article had to be chosen each week andstudents needed to read the article prior to the in-class discussion. The Gatherer student chose the article and posted it to Moodle (course managementsoftware) by the established deadline of 3 days prior to the in-class discussion. S/he also postedan 8-12 sentence summary of the article prior to the in-class discussion. The choice of the articlewas left solely up to the student, so long as it came from a peer-reviewed journal and wasrelevant to biomechanics
components: a) body functions and structures and b) activities andparticipations. Body functions and structures are useful from biomechanical perspective ofproduct design. However, for the description of user activities related to a consumer product, thecomponent activities and participation seems appropriate. Sangelkar has detailed the structuralorganization of ICF as applicable to universal design 10.The ICF uses an alphanumeric system of classification. The letters b, s, d, and e are used toexpress the body functions, body structures, activities and participation, and environmentalfactors, respectively. The letter is followed by a numeric code; first digit of which is the chapter
paper.Bibliography1. Fuentes, A. A., Crown, S., Freeman, R., Vasquez, H., Villalobos, C., Gonzalez, M., and Ramirez, O., “IncreasingStudent Access, Retention, and Graduation Through and Integrated STEM Pathways Support Initiative for the RioSouth Texas Region”, Proceedings of the 2009 ASEE Annual Conference & Exposition, Austin, Texas, June 14-17(2009).2. Freeman, R., Fuentes, A., Vasquez, H., Crown, S., Villalobos, C., Wrinkle, R., Ramirez, O., and Gonzalez, M.,“Increasing Student Access, Retention, and Graduation Through an Integrated STEM Pathways Support Initiativefor the Rio South Texas Region – Year One Activities and Results”, ASEE Annual Conference, Louisville,Kentucky, 2010.3. Crown, S., Fuentes, A., and Freeman, R., “A Successful Plan for
. 10 The curriculum incubator was developed as a protected space and time for faculty toexplore and adapt approaches to teaching and learning. Because the concept of curriculumincubation is new there is little research or theory to guide development of the incubator oranticipate its effectiveness. Since educational improvement is an institutional commitment withoutcomes demonstrated over a long period of time, it is important to determine whether theconcept of curriculum incubation has merit, the potential to produce innovative instructionaldesigns and long-term educational improvement.Incubation Theory The idea of incubation as a protected environment for nurturing change began in the1950’s with the invention of business
) ( (b)Figure 3.. The Robotiics-I course student s interrests in a) Roobotics, and b) A career in Roboticsbefore annd after this classThe studeents also rateed the Robotics-I activitties that increeased their robotics r undeerstanding and ainterests,, engineering g interests ass well as theiir improved skills, as shoown in Fig. 4-a-b, whereeteamworkk and engineeering designn skills, andd BEST robotics competiition along with w middle-highschool mentoring m greeatly benefittted the
packages. The software can also be run on a Windows platform with minimalmodification.Bibliography1. M. Piccardi. “Background subtraction techniques: A review,” Proc. IEEE Int’l Conf. on Systems, Man and Cybernetics: Vol. 4, pp. 3099 – 3104, 2004.2. R.J. Radke, S. Andra, O. Al-Kofahi, and B. Roysam. “Image change detection algorithms: A systematic survey,” IEEE Transactions on Image Processing, Vol. 14, No. 3, pp. 294–307, 2005.3. S. Cheung and C. Kamath. “Robust techniques for background subtraction in urban traffic video,” Proc. SPIE, Vol. 5308, 881 (12 pages), 2004. http://dx.doi.org/10.1117/12.5268864. O. Masoud and N.P. Papanikolopoulos. “A novel method for tracking and counting pedestrians in real
PortfolioGoals for AFOSR to strengthen the Air Force basic researchprogram as defined in AF S&T Strategic Plan: • Provide scientific leadership for the AF basic research enterprise • Attract the Nation’s/World’s best S&Es to contribute to and lead AF/DoD research • Ensure the coherence and balance of the AF basic research portfolio • Foster connections between AFRL researchers and the National/International basic research community • Maximize the discovery potential of the defense research business environment Focus on the Future AF with the ultimate goal to make Today’s AF and Tomorrow’s AF Obsolete! 7 Shaping the
, 361-367 (1995).4 Walden, S. E. & Foor, C. "What's to Keep You from Dropping Out?''Student Immigration into and within Engineering. Journal of Engineering Education 97, 191-205 (2008).5 Shivy, V. A. & Sullivan, T. N. Engineering Students' Perceptions of Engineering Specialties. Journal of Vocational Behavior 67, 87-101 (2005).6 Brown, D. in A Cognitive Information Processing Approach to Career Problem Solving and Decision Making (eds Gary W. Peterson, James P. Sampson, Janet G. Lenz, & Robert C. Reardon) (John Wiley & Sons, Inc., 2002).7 McLennan, N. A. & Arthur, N. Applying the Cognitive Information Processing Approach to Career Problem Solving and Decision Making to
Page 25.475.6 existing systemIn addition to individual quality scores, we calculated an overall innovation score, which was thefifth root of the product of each category score. This method retained the 1-5 scale and rewardedconsistent ideas (e.g. an idea that scored all 3’s is more innovative than an idea that scored two1’s and two 5’s). Once scoring was complete, we calculated the mean (out of five) and standarddeviation in each category and for overall innovativeness.ResultsStudents identified 26 unique solutions to the design problem. Among these, automatic lighting,energy-efficient lighting, and renewable energy devices (including solar panels, piezo-electricflooring, windmills, and river turbines) were the most
, Page 25.100.2students need to have an advisor from their respective program. The elements emphasized andadopted to promote project evaluation practices include periodic review of journal/log bookentries, presentations, periodic milestone reports, at least weekly meetings with the advisor(s),and the final design report.IntroductionDue to its culminating nature, the senior design project course is probably the most significantexperience of the undergraduate engineering students (1). In the process the students apply whatthey have learned in their undergraduate course work; develop their communication,interpersonal, project management, and design skills; and learn about the product developmentprocess. Students also get an understanding of the
problematic. Since most people domake a living by working, does this mean that everyone is a professional? And if everyone is aprofessional, then why bother to use the term? Seeing everyone as a professional actually has theeffect of demeaning the true professional, who has sacrificed considerable time and money toacquire expertise in a field that s/he has made a lifelong commitment to.Professionalism according to the LiteratureThe literature defining professionalism is rich, varied, and contradictory, constituting a body ofknowledge in itself. A brief tour of selected books and articles reveals a definition ofprofessionalism that counters the popular notion, one that for many students is foreign territory.While sociologist E. C. Hughes (1958) argues
AC 2012-5516: PROMOTING STEM FACULTY MEMBERS’ REFLECTIONON THEIR LEARNING PERCEPTIONS AND TEACHING PRACTICESSusan ShadleDr. Louis Nadelson, Boise State University Louis S. Nadelson is an Associate Professor in the College of Education at Boise State University. His research interests include STEM teaching and learning, faculty development, in-service and pre-service teacher professional development, program evaluation, and multidisciplinary research. He has published research ranging from faculty professional development to the impact of inquiry on STEM learning. Nadelson earned a B.S. degree in biological and physics science from Colorado State University, a B.A. with concentrations in computing, mathematics, and
persistence rates, CMICH is on the low end: 27% versus the range of 30% to 91% citedabove. With respect to technology programs, CMICH is most similar to Purdue (64%) and PSU(30%). However, with respect to size, ASU (74%) or PSU Surveying (76%) seems moreappropriate. In this sense, the lessons presented here fill a gap in the persistence literatureespecially in terms of young engineering programs.3. MethodsData were collected for six years in two forms: transcript information and brief in-class surveys.The six years correspond to twelve semesters: six fall semesters and six spring semesters. Here,a semester is referred as the academic year with a “F” or “S” for fall or spring; e.g., the lastsemester examined was the spring of the 2010-2011 year, or
).AcknowledgementsThis research was funded by the National Science Foundation under Grant DUE-0831811to the University of Texas at Austin. The opinions expressed herein are those of theauthors and not necessarily those of the NSF. For additional information aboutUTeachEngineering curricula and research see http://www.uteachengineering.org/.References1. Berland, L. K., & Hammer, D. (2012). Framing for scientific argumentation. Journal of Research in Science Teaching, 49(1), 68–94. Page 25.884.92. Berland, L. K. Martin, T. H., Ko, P., Peacock, S., and Rudolf, J. (under review). Student Learning in Challenge-‐Based
I like the following session(s). 17 25 21 25 29 20 20 I think the following session(s) needs 2 1 6 3 5 8 7 9 improvement. I was able to understand the theory in 3 N/A 22 25 17 20 15 14 lectures better by doing the experiments. Especially the following experiment(s) 4 N/A 17 20 21 18 14 13 was helpful to understand the theory. Especially the
classroom engagement and its effect on student performance.The emergence of Web 2.0 and SNT as a dominant force for communication and interactionamong various groups of people has led to discussion among the academic community regardingwhether or not these technologies are actually effective within the classroom setting. Whileeffectiveness in regards to classroom performance has not been successfully determined and stillexists as a gap in the academic community’s knowledge of Web 2.0’s effect on higher education,there are parallels that exist between using online courses and Web 2.0. Several studies7, 8, 10have been conducted to determine if there are any significant differences between students whohave chosen an online course of study versus a
Sketchup strike a balance between the ease-of-use necessary for classroomlearning and the flexibility to solve various design challenges. Digital fabrication, leveragingdesktop computer-aided manufacturing (CAM) promises to transform society in wayscomparable to the desktop computer revolution of the 80’s and 90’s25. Students who enter theworkforce with familiarity with such technologies will be well positioned to lead the way.Digital desktop fabricators are dropping in price and increasing in user-friendliness (e.g.,RepRap http://www.reprap.org; UP! 3D printer http://www.pp3dp.com; Fab@Homehttp://www.fabathome.org) with communities of 3D designers coalescing to share designs (e.g.,http://www.thingiverse.com). WISEngineering will smoothly
D ata: Assoc of Universi ty Technol ogy Manag er s (AUTM ) S urvey 2004 NIH supports institutions & people (Extramural Research) > 4,000 institutions > 300,000 scientists & research personnel ~ 85% of the NIH budget NIH Grant StatisticsFiscal Year 2010• 88,000 applications received (all mechanisms)• 240 Review Officers organized 1,600 meetings with 18,000 reviewers• Over 62,000 research grants reviewed … improving health by leading the development and accelerating the application of biomedical
% Hispanic or Latino 6% Ethnicity Not Hispanic or Latino 94% American Indian or Alaskan Native 0% Asian 25% Race Black or African American 6% Native Hawaiian of Other Pacific Islander 0% White 69% U. S. Citizen 72% Residence
working for the Innovation and Techno- logical Development Centre of UNED (CiNDETEC). He is an expert in learning management systems (LMS) and web development applications. Currently, he is collaborating in a research project of open services integration for distributed, reusable, and secure remote and virtual laboratories (s-Labs). Page 25.326.1 c American Society for Engineering Education, 2012Dr. Tovar Edmundo, Universidad Politcnica de Madrid Edmundo Tovar, computer engineering educator, has a Ph.D. (1994) and a bachelor’s degree (1986) in computer engineering from the Universidad