thermodynamic property data. (This requirement was abandoned by mid-semester due to the excessive time it was taking students for minimal gain in knowledge.) All Three Years: Only select problems were required to be done computationally. Refer to problems from all other tasks.Task 2: Graphing All Three Years: Refer to Task 4 and Figure 2. HW 1 in 2009: Adapted from Problems 1-133E and 1-134E in Cengel and Boles. 7 Given an equation for calculating the chilling effect of the wind, which takes into account the wind velocity and the ambient air temperature, perform the following: a) Convert the equation into USCS units. b) Plot the equivalent wind chill temperatures in ◦ F as a function of wind velocity in
understanding as well as additional educational outcomes. Theframework adopted for the activities presented in this study drew heavily on the Workshop Physicsmodel, the defining elements of which (Laws et al., 1999) are shown in Table 1. Table 1: Elements of Inquiry-Based Activity Modules (Laws et al 1999) (a) Use peer instruction and collaborative work (b) Use activity-based guided-inquiry curricular materials (c) Use a learning cycle beginning with predictions (d) Emphasize conceptual understanding (e) Let the physical world be the authority (f) Evaluate student understanding (g) Make appropriate use of technology
contribution b) Order of authorship – Typically the leader of the overall project will be senior author or last author, the student or researcher who did the most work and writing as the first author; other authors in supporting roles as 2nd, 3rd, 4th author 2. Scope of work. Agree on the scope and the “story” in advance; stay away from least publishable units. 3. Maintaining momentum is essential to completion without losing gumption. a. Reasonable turnaround on revisions – I try for returning comments within a week; one collaborator always acknowledges and sets a target date for her response – we all have ups and downs in our workloads, but it really helps your co
-614.5. Imbens G. & Lemieux T. (2008). “Regression discontinuity designs: A guide to practice,” Journal of Econometrics, 142 (2008) 615-6356. Jacob B & Lefgren L. (2004). “Remedial education and student achievement: A regression-Discontinuity Analysis,” The Review of Economics and Statistics, Feb., 86(1): 226-244.7. Lalive R (2008). “How do extended benefits affect unemployment duration? A regression discontinuity approach,” Journal of Econometrics, 142, 785-806.8. Lemieux T. & Milligan K. (2007). “Incentive effects of social assistance: A regression discontinuity approach” Journal of Econometrics, Volume 142, Issue 2, Feb., 807-828.9. Matsudaira J (2008). “Mandatory summer school and student achievement
theinterviews, which we categorized as student-technology interactions. We are reconsidering theanalysis of interviews because of the wealth of information provided by teachers about computertechnology use and implementation (see information technology skills level of awareness). Thisanalysis will hopefully provide a different perspective on the effectiveness of teachers’ use ofcomputer and Internet-based technology in their classrooms. Specifically, there is preliminaryevidence that shows teachers’ use of computers as passive, productive, or as communicationtools to help students learn in the classroom (see below). (a) Passive Tools – represented by various mechanisms used to transfer science content to students such as ebooks (b
men. Although these figuresdiffer by field they have not substantially changed from 1993 to 2003. Figure 5(a) shows in of those women whoare married, more women scientists and engineers are married to full-time working spouses (US NationalAcademies, 2007)6. Figure 5(b) shows that 64% to 81% of women scientists and engineers marry fellowscientists and engineers (US National Academies, 2007)6.Figure 4. Percent of women and men doctoral scientists and engineers in tenured or tenure-track positions,by sex, marital status, and presence of children, 2003. 6 SOURCE: National Science Foundation (2003).Survey of Doctorate Recipients, 2003. Arlington, VA: National Science Foundation
. 391-400.[10] K. Prasad and K.B. Akhilesh, “Global virtual teams: what impacts their design and performance ?,” Team Performance Management: An International Journal, vol. 8, 2002, pp. 102-112.[11] J. Cordery, C. Soo, B. Kirkman, B. Rosen, and J. Mathieu, “Lessons from Alcoa,” Organizational Dynamics, vol. 38, 2009, pp. 204-216.[12] E. Karpova, A.-paula Correia, and E. Baran, “Internet and Higher Education Learn to use and use to learn: Technology in virtual collaboration experience,” Internet and Higher Education, vol. 12, 2009, pp. 45-52.[13] L. Lee-Kelley and T. Sankey, “Global virtual teams for value creation and project success: A case study,” International Journal of Project Management, vol. 26, 2008, pp
. E., Scott, D. R., and R Pangasa, “Teaching programming skills with MATLAB”, 2001 ASEE Annual Conference and Exposition, Jun 24-27, Albuquerque, NM. [4] Clough, D. E., Chapra, S. C. and G. S. Huvard, “A Change in Approach to Engineering Computing for Freshmen, - Similar Directions at Three Dissimilar Institutions,” 2001 ASEE Annual Conference and Exposition, Jun 24-27, Albuquerque, NM. [5] M. H. Naraghi and B. Litkouhi, “An effective approach for teaching computer programming to freshman engineering students,” 2001 ASEE Annual Conference and Exposition, Jun 24-27, Albuquerque, NM. [6] Adamchik, V. and A. Gunawardena, “Adaptive book: Teaching and learning environment for
spectroscopy) [14]ResultsWe calibrated the system several times with a dummy cell consisting of a 2 kΩ resistor. Figure3(a) shows that the calibration result was 99.8% accuracy resulting in 1.998 kΩ impedancewhich gave us confidence taking further measurements with water samples. According to theexperimental data plots shown in Figure 3(b) and (c) of impedance measurement, we found thatthe impedance level of distilled water is 45 times higher than that of tap water; the distilled waterimpedance at 15.79 Hz was 90.19 kΩ, while the impedance of tap water was 2.1 kΩ at thesame point/ frequency range. The result indicates that the distilled water has higher purity andfewer electrically conductive ions present than tap water. We also observed a significant
214# of responses 2 0 3 1 1 2 2 5 9 4 5 7 5 46 Figure 2. Cohort Graduates, Number of Responses and Program Begin Date2.3.2 - Instrumentation and ValidityThe survey of employed by this study evolved from two primary sources: (a) it was premisedheavily on an original Latif & Dyrenfurth study6 which addressed comparable researchquestions, and (b) a collaborative effort of the researchers and senior graduate faculty (Dr. JamesMohler) highly experienced in research methods. This development process resulted in a surveywhich is provided in Appendix B. To ensure we were measuring the content we were intendingto measure and not something else (content validity), we deliberately
learning while providing theFellows with K-12 classroom experience. A long-range goal of our project is to study the impactof the Fellows on the professional development of teachers in terms of (a) implementation ofinstructional strategies, (b) increasing teaching efficacy, (c) development of content knowledge,and (d) delivery of the SLIDER curriculum with fidelity.PurposeIn this first report of the study, we begin to investigate the impact of the Fellows on seventeachers in six classrooms in two middle school contexts—suburban and rural. We areparticularly interested in ways the Fellows help teachers implement a problem-based learningcurriculum with fidelity. In studying impact, we focused this exploratory study on determiningthe ways SLIDER
these reforms as students will need skills for: (a)finding, organizing, and managing information; and (b) team working, oral communication, andi This material is based upon work supported by the Learning through Engineering Design and Practice, NationalScience Foundation Award# 0737616, Division of Research on Learning in Formal and Informal Settings, underInformation Technology Experiences for Students and Teachers (ITEST) Youth-based Project. Opinions, findings, Page 22.442.2conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflectthe views of the National Science
: Page 22.5.4 A. Sum up the argument or main point of the reading—use direct quotes where needed. B. Describe and evaluate the evidence used by the authors- you may want to lay out the key points in a short outline. C. Express what you find compelling or inadequate in the reading, and if you can make connections to other readings and topics discussed in class.To encourage everyone to participate at some level, often students were asked to share theirresponses with each other before the whole class discussion. As much as possible, the classdiscussion was structured, in Engel’s (5) terms, “ to guide students to think about the source ofinformation, entice them into constructing counterfactuals, maneuver them to take
course currency is called Knowledge Gold (KG). The following rules govern the use ofcurrency in the three term sequence: 1. All students start with 0 KG at the beginning of the year. Page 22.1091.10 2. KG is tracked by the instructor for each individual in the course. It is the student responsibility to make sure KG credit is properly recorded. 3. KG will be retained across quarters. 4. KG may be obtained by: a. Completing tasks as stipulated by the instructor. b. Asking good questions. c. Chapter write-ups. d. Research into a technical area related the course topics or topics directly related to
goals of the course, and also helps students begin to develop skills inexperimental/test design (a component of ABET program outcome „b‟). Students will berequired to submit a test plan/procedure for the data collection component of the project tosupplement the final presentation.Over one half (57%) of the presentations did not include a final reference slide. This was a 14%decrease in the number of students providing references. This was likely due to two factors: 1) Page 22.555.11the increase in student-led experimental studies and a continued disconnect with the need forcorroborating, researched background information in this situation, and
picked up enough useful phrases and terms for independence.The students reported volunteering for this project for a variety of reasons. Expecting to learnmore about their research project, they also hoped to try out and improve their Chinese languageskills, explore the Chinese culture, and build their resume. Several of them welcomed an excuseto learn more about the land of their family’s heritage. Most acknowledged the lure of beingpaid to (a) do research and (b) travel to China.All participants were made explicitly aware that they were the subjects in a funded researchproject studying the effects of their participation in CURE. They signed IRB-approved consentforms as acknowledgement of their understanding and agreement to participate as well
capacitoras a function of time bymeasuring the voltage across ashunt resistor in Experiment15: A Series RC Circuit. Anexplanation of thismeasurement and how toconnect the oscilloscope probesis described in the vodcastlinked to the measurementworksheet on the reporttemplate for Experiment 15 asshown in Figure 2. Thevodcasts provide moreimmediate support to thestudents as they attempt the Figure 2: The hotlink to the vodcast entitled Measuring atexperiment on their own than Nodes A and B is located on the Measurements worksheet ofthe online tutorials that are the report template for Experiment 15. While launched, the
ment of the stuudent learninng in the couurse throughhseven couurse learning g objective (CLO) ( was in place. Thee qualitative aspects meaasured using theCLOs aree presented below. b • CLO 1: Hand C ds-on experieence. o Studen nts developeed simulationn models off the airport operations o ussing Arena® ® simulaation environnment. Arenna is a geneeral discrete--event systemms simulatioon softwaare which is appropriatee for modelinng and simullating the typpe of problem m
focus involving mathematical modeling. Whatsets the first-year engineering courses apart from traditional engineering classes is instructionthat requires students to not only solve technical problems, but apply and adapt engineeringconcepts in mathematical models while developing professional skills - the ability to work inteams and translate mathematical models into a written procedure8.B. Model-Eliciting-Activities (MEA)Typical engineering classes are exam-based, project-based, or a combination of these. Seldomdo engineering classes provide sufficient activities that involve real-world problem solving.Therefore, there is a need for engineering classrooms to increase students’ exposure in suchactivities. One method for fulfilling the FYE
AC 2011-725: SE CAPSTONE: A PILOT STUDY OF 14 UNIVERSITIESTO EXPLORE SYSTEMS ENGINEERING LEARNING AND CAREER IN-TEREST THROUGH DEPARTMENT OF DEFENSE PROBLEMSElisabeth W McGrath, Stevens Institute of Technology Elisabeth McGrath is Senior Research Associate at Stevens Institute of Technology and Executive Director of the Stevens Center for Innovation in Engineering & Science Education, Hoboken, NJ.Susan Lowes, Institute for Learning Technologies, Teachers College/Columbia University Susan Lowes, Ph.D., is Director of Research and Evaluation, Institute for Learning Technologies, Teach- ers College/Columbia University.Chris Jurado, Stevens Institute of Technology Chris Jurado is involved in the development of research
AC 2011-735: THE NATURE OF TEACHER KNOWLEDGE OF AND SELF-EFFICACY IN TEACHING ENGINEERING DESIGN IN A STOMP CLASS-ROOMElsa Head, Tufts UniversityDr. Morgan M Hynes, Tufts University Page 22.1483.1 c American Society for Engineering Education, 2011 The Nature of Teacher Knowledge of and Self-Efficacy in Teaching Engineering Design in a STOMP ClassroomCurriculum standards increasingly feature engineering as a requirement for K-12 students. Thisis a content area in which most K-12 teachers have little to no background; therefore, providingsupport is critical for successful implementation. In an effort to provide
” students are converted to “high interest” students. “Interest” in a subject matter isdirectly related to affect, and may also serve as a rough indicator of anxiety levels. Page 22.1045.11 Figure 4 Percentage of students, by semester, that expressed a high or very high level of interest in the subject matter before and after the course. [N=140] Figure 5 “Conversion” percentage of those students that had a low level of interest in the Engineering Math subject matter before the course “converted” to a high level of interest after the course(b) Course surveys:More recently a survey has been administered to Engineering Math
, B. “Leaving the Ivory Tower: A Sociological Analysis of the Causes of Departure from Doctoral Study.”Doctoral dissertation, University of Maryland, 1996.3. Brown, S. V. (2000). The preparation of minorities for academic careers in science and engineering. In G.Campbell, R. Denes, & C. Morrison (Eds.), Access denied: Race, ethnicity, and the scientific enterprise (pp. 239–268). New York: Oxford University Press.4. Redmond, S. P. (1990). Mentoring and Cultural Diversity in Academic Settings. American Behavioral Scientist,34(2), 188-200.5. Hill, R. D., Castillo, L. G., Ngu, L. Q., & Pepion, K. (1999). Mentoring Ethnic Minority Students for Careers inAcademia: The WICHE Doctoral Scholars Program. The Counseling Psychologist, 27(6), 827
., bringing higher-level variables down to the student level). The problem, again, withthis approach is non-independence of observations, as all students within a given classroomassume identical scores on each variable. Another approach to deal with this problem is toaggregate up to the level of the classroom. Thus, the authors could talk about the effect ofclassroom or teacher characteristics on average achievement for the entire class. However, thereare a number of issues with this approach, including: (a) the authors lose much (perhaps up to80-90%) of individual variability on the outcome variable, which can lead to significant under-or over-estimation of observed relationships between variables [10], and (b) outcome variableschange significantly
, R.C., “Broadening Student Research Experiences through a Summer Exchange Program across Campuses”, Proceedings of 2010 Annual Conference of American Society for Engineering Education, Louisville, KY, June,’108. Aber, J.S., Aber, S.W. and Leffler, B. 2001. Challenge of infrared kite aerial photography. Kansas Academy Science, Transactions 104(1/2), p. 18-27. Available online @ http://www.kansasacademyscience.org/TKAS/trans104/aber1/aber1.htm9. Oh, P.Y., and Green, W.E., “ Mechatronic Kite and Camera Rig to Rapidly Acquire, Process and Distribute Aerial Images”, IEEE/ASME Transactions of Mechatronics, Vol.9 (4) pp. 671-678, December 2004.10. NASA Glenn Research Center, Interactive Kite Modeler, http://www.grc.nasa.gov/WWW/K-12
-based learning programs: worksite mentor knowledge and training. Career and technical education research. 30(1).Eyler, J., & D. E. Giles, J. (1999). Where's the learning in service-learning? San Francisco: Jossey-Bass.Ferguson, D. (2002). Community service-learning initiatives bridge the gap between America’s technology haves and have-nots. Chronicle of Higher Education, 48 (43), 1-2.Folkestad, J., Senior, B., & DeMiranda, M. (2002). The implications of service-learning for technology studies. Journal of Technology Studies, 28(1), 52-58. Retrieved from Academic Search Premier database.Heiselt, A., & Wolverton, R. (2009). Libraries: partners in linking college students and their communities
the students as a strategy to fightcultural stereotypes. As Paty explained, Intelligence and abilities can be developed; it is not like what you are born with. No! [Abilities] can be developed and school helps. [La inteligencia y las habilidades se pueden desarrollar, no es como si naciste con ellas. ¡No!, se pueden desarrollar y la escuela ayuda].b) Challenging the Social Environment and Students’ Responses to the ChallengeThe second dimension of the challenging engineering environment identified by students issocial. Female students in engineering stated that they face an environment that is competitive,individualistic, and isolating. Additionally, students perceived that their workload led them tohave less time for
20 y = 0.86x + 31.77 20 R² = 0.04 0 0 10 20 30 40 50 10 20 30 40 50 RSPQ-2F Deep Approach RSPQ-2F Surface ApproachFigure 6. Correlation of CLASS-Chem conceptual % favorable and R-SPQ-2F deep approachscores (a) and surface approach scores (b).Influence of Attitudes and
AC 2011-1956: INSTITUTIONAL ETHNOGRAPHY AS A METHOD TOUNDERSTAND THE CAREER AND PARENTAL LEAVE EXPERIENCESOF STEM FACULTY MEMBERSMarisol Mercado Santiago, Purdue University Marisol Mercado Santiago is a doctoral student in the School of Engineering Education, Purdue Univer- sity, and a research assistant in the Research in Feminist Engineering (RIFE) group. She has a M. E. in Computer Engineering and a B. S. in Computer Science (with honors). Among her research interests are (1) culturally responsive education, (2) engineering studies, and (3) art and engineering education. Address: School of Engineering Education, Armstrong Hall, 701 W. Stadium Ave., West Lafayette, IN 47907. mercado@purdue.edu.Alice L. Pawley
tointegrate liberal content into engineering curricula. The underlying aims of this talk are several-fold. They are to document and demonstrate: a) The long history of attempts to bring liberal education to engineers, b) How these efforts fit within, and contributed to the distinct professional configuration of engineering, c) That engineering educators possess a body of practice for adapting their knowledge to Page 22.1015.2 “changing times and needs,” and d) How this body of educational reform practice evolved from the early, voluntary traditions of this society to the more centralized, administrative traditions marked by