Teaching, vol. 23, 1994, pp. 346-348.2. Stewart-Wingfield, S., & Black, G. S., “Active versus passive course designs: The impact on student outcomes,” Journal of Education for Business, vol. 81, no. 2, 2005, pp. 119-125.3. Elshorbagy, A., & Schonwetter, D. J., “Engineer morphing: Bridging the gap between classroom teaching and the engineering profession,” International Journal of Engineering Education, vol. 18, no. 3, 2002, pp. 295-300.4. Dorestanni, A., “Is interactive learning superior to traditional lecturing in economics courses?” Humanomics, vol. 21, no. 1/2, 2005, pp. 1-20.5. Felder, R. M., & Brent, R, “The ABC’s of engineering education: ABET, Bloom’s taxonomy, cooperative learning, and so on,” Paper
35.5 39 Influence mentor(s) while in college. Parental Motivation to study engineering due to parental influences. 15.8 19.6 InfluenceThe second reason for this focus was driven by the interest level from the pupils in some of theworkshops ECE has directed in the past and observing the success of existing programs, such asBotball and FIRST. The common theme of both of these programs is that they are focused onthe creation of a technologically advanced robot and framed into a fun competition that engagespupils. They have found a great way to leverage the intrinsic behavioral and intrinsicpsychological motivators. The merit of this recruiting methodology was reinforced whileserving as a mentor in the FIRST
within the American University community forproviding their thoughts and insights throughout the various phases of this study.IX. Bibliography[1] http://www.aip.org/statistics/trends/reports/bachdemograph10.pdf, Accessed 18.10.13.[2] http://www.aip.org/statistics/trends/reports/bachdemograph10.pdf, Accessed 19.10.13.[3] Rosser, S. V. (Ed.). (1995). Teaching the majority: Breaking the gender barrier in science, mathematics, and engineering. New York: Teacher’s College Press.[4] National Academy of Sciences, National Academy of Engineering, and Institute of Medicine of the National Academies. (2007). Beyond bias and barriers: Fulfilling the potential of women in academic
enough investigation into this and other disciplines has not been done so as to be able tomake generalizable statements.Reference 1. Smith, K. A., Sheppard, S. D., Johnson, D. W., & Johnson, R. T. (2005). Pedagogies of engagement: Classroom-based practices. Journal of Engineering Education, 95(2), 123-138. 2. Chi, M. T. H. (2009). Active-constructive-interactive: A conceptual framework for differentiating learning activities. Topics in Cognitive Science, 1(1), 73-105. 3. Resta, P., & Laferrière, T. (2007). Technology in support of collaborative learning. Educational Psychology Review, 19(1), 65-83. 4. Roselli, R. J., & Brophy, S. P. (2006). Experiences with formative assessment in
. 188 weeks) and d also for thee different teechnical trainnings alreaddy received bby UGA vs. N NTUstudeents. UGA students s werre mostly sen niors and alrready had takken courses on ElectricaalCircuuits and Senssors and Tran nsducers, bu ut they only hhad formal ssoftware traiining in MattLaband not n in C/C++ +. On the oth her hand, NT TU students were at the sophomore level and haadformaal training inn C/C++ pro ogramming, but b may not have yet takken courses iin ElectricallCircuuits or Sensoors and Transsducers. Furrthermore, a “contract teeaching” appproach was uusedfor UGA U studentss to allow thhem to choosse their own challenge leevels in the llast 2 projectts outof a total t
andMotivations Survey as well as data collection and analysis outcomes of the subsequent phases ofour study will be topics of future publications.References1. NSF/NIH/USED/USDA/NEH/NASA. (2009). Survey of earned doctorates.2. Baker, S., Tancred, P., & Whitesides, S. (2002). Gender and graduate school: Engineering students confront life after the B. Eng. Journal of Engineering Education, 91(1), 41-48.3. National Science Foundation. (2012). Research in engineering education solicitation. Retrieved September 26 th, 2012 from http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503584.4. Finke, R. A., Ward, T. B., & Smith, S. M. (1992). Creative cognition: Theory, research, and applications. Cambridge, MA: The MIT Press.5
Page 23.121.4directly or indirectly, their own conception of the right answer and not support the solutionsbeing produced by the students.The second purpose is to prepare TAs to reliably evaluate and provide feedback on students’work on the MEA(s) slated for implementation in a given semester. TAs need guided practicewith prototypical student work that highlights different solution paths that they might encounter.This enables the TAs to develop a level of expertise with the problem posed in the MEA.Because the feedback the TAs provide is critical for students to be able to improve theirsolutions, the primary activity of the TA training model is focused on allowing TAs to exploreand practice their feedback skills.TA Training with MEAs in
American Society for Engineering Educators Annual Conference, Albuquerque, NM, June.3. Brainard, S., Harkus, D., & St. George, M. (1998) A curriculum for training mentors and Mentees. Seattle:University of Washington.4. Johnson, C. (1989) “Mentoring Programs,” In M.L. Upcraft, J.N. Gardner (Eds.), The Freshman Year Experience.San Francisco: Jossey-Bass.5. Lent, R., Brown, S., & Hackett, G. (1994) “Toward a unifying social cognitive theory of career and academicinterest, choice, and performance [Monograph],” Journal of Vocational Behavior, 45, 79-122.6. Barra, R. (1993) Tips and techniques for team effectiveness. Barra International, New Oxford, Pa: BarraInternational.7. Belenky, M.., Clinchy, G. ., Goldberger, N.., & Tarule, J. (1986
DeterminismThe work of engineers fuels technological determinism, so it is not surprising that much of theattention in innovation in engineering education from the 1950’s until the present has beendriven, if not determined, by available educational technology that could be applied. From theearly use of visualisation aides, to audio-visual devices (film, audio cassettes, early video), fromcomputer assisted instruction through to the use of the Internet, or from CDs to multi-media andmobile computing, it seems that it is the technology with "enormous potential" looking for aneducational problem to satisfy. In the current context of the undergraduate reforms, informationtechnologies are seen as being able to support the "a key enabler aiding institutions
whatareas. Web-development projects in particular typically require at least one database on theserver. In addition, many multimedia and manufacturing projects require databases, anythingfrom Product Data Management systems on a company intranet to collaborative multimedia in aclassroom. What requisite knowledge does a student need to competently work with a databasethat comprises only a portion of a larger project? Which database management system(s) should astudent learn and does one provide an advantage over the others?IntroductionApplications of ideas and projects in Computer Graphics Technology have developed more intorequiring a database to drive some or all of it on a server. The Web has grown past the days ofstatic HTML pages and into an
Fundamentals”, 1999, Prentice Hall.3 Serge Lang “Algebra”, 1993, Addison-Wesley.4 F. S. Vainstein "Low Redundancy Polynomial Checks for Numerical Computations," Applicable Algebra inEngineering, Communication and Computing, vol. 7, No. 6, pp. 439-447, 1996.5 F. S. Vainstein "Self-Checking Design Procedure for Numerical Computations," VLSI Design, vol. 5, No. 4, pp.385-392, 1998.6 Larry L. Dornhoff, Franz E. Hohn “Applied Modern Algebra”, 1978, Macmillan Publishing.7 Oliver Pretzel “Error-Correcting Codes and Finite Fields”, 1992, Oxford University Press.8 T.R.N. Rao, E. Fujiwara “Error-Control Coding for Computer Systems”, 1989, Prentice Hall.FEODOR VAINSTEINDr. Vainstein is Professor of Electrical and Computer Engineering, College of Engineering, at
a strain gage based scale called SqueezoMeter designed to measure theapplied squeezing or pushing force. It is made of an S-shaped sensing element equipped with 4-strain gages, and two rectangular aluminum plates to apply the force.The second experiment, HuggoMeter, consists of two parallel ¼ inch aluminum beams mountedon two 8.5 x 16 x 1 in hard boards that are 1.25 inches apart. Mounted on the constant bendingportion of these beams are 4 strain gages forming a 4-active arm Wheatstone bridge. Studentscan hug the HuggoMeter and apply forces to it. The induced strains are measured through a dinrail mounted signal conditioner and A/D module, converted to the applied force and displayed onthe PC screen.These experiments, while entertaining and
will be designed based upon socialconstructionist theories using communicative prospective 11, which will reveal how femalestudents create, negotiate and shift their identities while selecting, studying and practicing inSTEM field. Research questions include: a) what do they think about graduate education; b)what does pursuing career in STEM field mean to female?; c) what messages are enunciate aboutSTEM discipline, and how does these messages differ at different points in a female’s life?; d)what were the initial factor(s) compelling females to choose STEM as field of study?; e) whatfeatures of STEM discipline seems enticing or dispiriting to females from pursuing educationand practice in these area?; f) what kind of guidance, mentoring, and
29, Student ID GKJ2]. The third form entails providing an answer with nointerpretation; feedback includes the correct answer by copying directly from GTAresources, while providing an answer with interpretation means the GTA provides thecorrect answer with some interpretation. In this example, “Devon Dalton is the CEO ofD. Dalton Technologies, but Devon is not the direct user of the procedure. Devon willreceive, evaluate, and archive the procedure but will not use the procedure for itsintended use. The Logistics Manager is the direct user of the procedure” [2008, GTAN02, Team 10, Student ID E2YG]. In this example, the GTA shows evidence ofinterpreting the student response - s/he provides information about the students’ actualresponse before
collaborations, undergraduate research, and collaboration as an administrative model. New Directions for Teaching and Learning. 2002 Jun 1;2002(90):81–90.5. Kuh GD. High-impact educational practices: what they are, who has access to them, and why they matter. Association of American Colleges and Universities; 2008.6. Kinkead J. Learning Through Inquiry: An Overview of Undergraduate Research. New Directions for Teaching and Learning. 2003 Mar 1;2003(93):5–18.7. Grimberg S, Langen T, Compeau L, Powers S. A Theme-Based Seminar on Environmental Sustainability Improves Participant Satisfaction in an Undergraduate Summer Research Program. Journal of Engineering Education. 2008 Jan;97(1):95–103.8. National Science Foundation
-browser window -which contributes to making the remote lab experience feel more real and scalable to multipleusers at the same time. Although multiple users can view the link at the same time, only one cancontrol the instruments remotely (for example to change the sampling time). In Fig. 7, the userhas been granted control after requesting it from the server hence the message “Control granted.” Fig. 7. LEWAS tabbed interface accessed in client’s Web browser showing weather parameters in an indoor test. Functional Operation of LEWASFig. 8 shows the operational diagram of LEWAS lab. As depicted in this figure, first, eachenvironmental parameter is converted to a digital representation of 0’s and 1’s through dataacquisition that takes
elements or structures are valuable to students in enhancingtheir time management for the enrolled course. A limitation of the reported results is that actualimprovement in time management skill was not measured; rather, the students’ perception ofimprovement was measured. Further study with measures of actual time management skills iswarranted. Further, longitudinal study regarding the persistence of time management skillacquired could elucidate important relationships about transfer of this necessary life skill to othercontexts. Page 25.911.12References1. C.E. Goodson, Miertschin S., Stewart B. “On-line Delivery of Courses: What Components
advanced cycles; air-conditioning processes of humid air; ReheatRankine cycle including means to improve its efficiency; Otto and Diesel cycles; Brayton withintercooling, reheating and regeneration; property diagrams, p-v, T-v, T-p, T-s, h-s, p-h, andPsychrometric chart . The course schedule is shown in Table 1 and is divided into ten weeks;each quarter typically contains ten weeks. Each week has 200 minutes of lectures, contents ofwhich are shown in the second column. Seven labs are offered, in weeks 2, 3, 4, 5, 7, 8, and 10.Labs 1-4 require only 60 minutes per team; labs 5 and 6 require 90 minutes; Lab 7 is a two-and-ahalf hour tour of HVAC systems used to air-condition medical research laboratories at FredHutchinson Cancer Research Center
( N1 / 1)σ 12 − ( N 2 / 1)σ 22the categories is then given by d ? where s ? s N1 − N 2Note that the parameter s 2 is a weighted combination of the category sample variances, withrelatively more emphasis given to the category with more samples. For an effect well-separated from the control category, s will be small for a given µ1 / µ2 (since the categoryvariances σ12 and σ 22 will be small), thus d will be “large.” For cases where either category isdispersed (and therefore has a larger category variance) the increased value of s serves toreduce the distance between categories and d will be “small.”For the at-risk students in Circuits & Systems, Cohen’s effect size was
“evaluation” step. See Linsey, et al.,3 for a more detailed explanation of the method.A “PHLiP” book (Figure 2) was also presented as a tool to guide professor in development ofALPs. Understand the Educational Goals and Objectives • Define Stakeholders and Collect Stakeholders’ Input • Define Educational Goals and Objectives Based on Stakeholders Input • Prioritize Goals and Determine Metrics • Define Topics • Select Topic(s) for Developing ALPs Based on Goals and Metrics Generate Possible Active Learning Product (ALPs) Educational
(AWAKEN)" to theUniversity of Wisconsin-Madison. Page 15.274.13Bibliography1 NRC. 2007. Rising Above The Gathering Storm: Energizing and Employing America for a Brighter Economic Future Committee on Prospering in the Global Economy of the 21st Century: An Agenda for American Science and Technology, Washington, DC: National Academy of Sciences, National Academy of Engineering, Institute of Medicine, National Academy Press.2 www.ed.gov/programs/racetothetop3 Fink, L. D., Ambrose, S. & Wheeler, D. (2005). Becoming a professional engineering educator: A new role for a new era. Journal of Engineering Education, 94(1), 185-194.4
technology corporations.Linda Hirsch, New Jersey Institute of Technology LINDA S. HIRSCH is the Program Evaluator in the Center for Pre-College programs. She has a doctoral degree in educational psychology with a specialty in psychometrics and a Masters degree in statistics. She has been involved in all aspects of educational and psychological research for 15 years. Dr. Hirsch has extensive experience conducting longitudinal research studies and is proficient in database management, experimental design, instrument development, psychometrics and statistical programming.Levelle Burr-Alexander, New Jersey Institute of Technology LEVELLE BURR-ALEXANDER is Director for TRIO programs and project
provided with learning experiences that captivate and motivate them throughengagement with authentic real-world problems that appeal to their natural creativity,imagination, and passion, while at the same time develop their problem solving and criticalthinking skills 5,6,7,8,9,10. One instructional method capable of providing this type of learningexperience is PBL.Problem Based LearningPBL is an instructional approach that challenges students to “learn how to learn” throughcollaborative real world problem solving. Used extensively in medical education since the1970’s, PBL has emerged as an exciting and effective alternative to traditional lecture-basedinstruction in STEM education. Unlike project-based learning in which students complete aproject
subject 3.913) is one of MIT's principal graduate subjectsin polymeric materials. It is a core subject in the doctoral Polymer Program of the Department ofMaterials Science and Engineering, and also in the MIT interdepartmental Program in PolymerScience and Technology (PPST). 3.91 was developed originally by Prof. F.J. McGarry in the1960's, and has been offered continually at MIT ever since. Prof. D. Roylance has co-taught thesubject since the mid-1970's, and became the sole instructor with Prof. McGarry's retirement inJune 2002.As its name implies, 3.91 is aimed at presenting the concepts underlying the response ofpolymeric materials to applied loads. These include both the molecular mechanisms of theresponse and the mathematical description of
pedagogical approach, CE most strongly is connected to service-learning (S-L). ThoughFurco (2003) stated that at least two hundred different definitions of service-learning have beenpublished, the distinguishing factor of between S-L and community-service is that S-L isintentionally designed to meet learning (often academic) objectives. Other components commonin service-learning definitions include 1) the need for student reflection on the value of the effort,2) the connection and integration of the effort with the community, and 3) the attainment byparticipants of the desirable outcome of civic or social responsibility.The benefits of CE projects are well documented in the literature13, 27. A longitudinal study on
work. Italso may have been due in part to his appropriation of Ms. W.’s warning to expect that theirproduct would change. However, none of Bobby’s group members elaborated or seemed to sharehis uncertainty. Also noteworthy is that Isabel took the opportunity to broach a subject that wasbecoming contentious – who was project manager – perhaps bringing it up in front of an adultfor a measure of safety in addressing a relational difficulty.As to how the feedback they received during the first design critique session shaped this group’ssocial interaction, findings indicate a decrease in students’ focus on social-relational issues asmembers became more task-focused after receiving negative feedback. No social topics weretaken up post critique
Paper ID #10282Feasibility of interactive eTextbooks with computationally intense contentDr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, taught at Northwestern for Fall 1995, worked at Argonne National Lab, 1996-1997, Chicago State, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engineering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice Boltzmann methods for studying plasma turbulence
sum of all values𝑐=0 // A variable to store the lost low-order bitsfor 𝑖 = 0 to num −1 do 𝑦 = 𝑎𝑟𝑟𝑎𝑦[𝑖] − 𝑐 𝑡 =𝑆+𝑦 // If S is big and y is small, low-order digits of y are lost 𝑐 = (𝑡 − 𝑆) − 𝑦 // c recovers the low-order digits of y 𝑆=𝑡end for Page 24.627.53. FPAvisual SoftwareFPAvisual was developed to provide engaging visualizations that show the inaccuracies causedby FPA, their significant influence on programs, and the techniques to increase the accuracy. Ithas Windows and Linux versions. FPAvisual consists of four components: Roots, Pentagon
engineering fields (e.g. mechanical, environmental, orelectrical) through design challenges targeted for specific grade levels, contextualized in aparticular country (e.g. India, USA, or El Salvador), and set in a elementary aged child’s story13.Some researchers are analyzing the impact of these resources for integrating engineering intoelementary curricula16-18. For example, Karatas and colleagues19 performed a phenomenographic Page 24.270.4study with 20 sixth-grade students to understand elementary students’ views about engineeringand its differences compared to science. For this, researchers collected student interviews anddrawings of engineer(s
all four campuses. The use of questionnaire-driven interviews was advantageous in gaining detailed information on specific issues. Page 10.476.5 Proceeding of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright 2005, American Society for Engineering EducationIn order to create the structured interview protocol, each APS research question category wasconnected to its corresponding PIE variable(s). Then, the operationalization of each APSresearch question in the PIE Survey was specified, and used to examine potential gaps in thesurvey’s attempt to answer the research