44. Regine, B. (2011, March 31). Women's Soft Skills Improve Collective Intelligence, Researchers Say. Forbes .5. Catherine Hill, P. C. (2010). Why so Few? Women in Science, Technology, Engineering, and Mathematics.Washington, D. C.: AAUW.6. Chua, A. (2011). Battle Hymn of the TIger Mother. New York: The Penguin Press.7. Dyke, Lorraine (2011, Aug. 29). Low Gender Balance in High-Tech. Retrieved from http://www.TheStar.com.8. (n.d.). Retrieved from http://www.k-state.edu/grow/9. (n.d.). Retrieved from http://www.k-state.edu/excite/10. Dietz. (2011, Feb. 13). Girls' Science Event Encourages Participation Throughout Experiment Process.Register-Guard, Eugene (OR) .11. McAuliffe, Jane (2011, Aug. 18). Closing the Gap. Inside Higher Education.12
that integrates thevideo, transcript text and codes. Classroom sessions were segmented into clips, and clipswere coded to reflect the points of interest noted in our research questions, in a mannersimilar to Nathan et al., 2009. Our coding framework delineated two dimensions that areespecially relevant here: A. Concepts mark engagement with “big ideas” from STEM, such as: modeling in engineering; force and work in science; and algebra in mathematics. We separately note whether math concepts are explicitly integrated for students during instruction. B. Skills address process-oriented tasks that are important for doing practical Page
writing skills.ObservationsAs the purpose of the project was to focus on the academic, advising, and library concerns,we use these areas as our assessment guidelines. The main academic concern was students’writing abilities. In the past 10 years, approximately 4,500 students have completed theE/FEWP integrated writing curriculum. The grades for the first writing assignment in the fallsemester have consistently averaged in the B- to C+ range. The final conference paper gradeshave always increased to an average grade of A-. As a result, the English department nowwaves the Seminar in Composition course for engineering students because the writingcomponent in the freshman year is meeting or exceeding the goals of a standard first-semesterwriting
Randolph, B., 2007, “A Page 22.1333.9 4. National Model for Engineering Mathematics Education,” Proceedings 2007 ASEE Annual Conference & Exposition, Honolulu, HI, June 2007.5. Klingbeil, N. Newberry, B., Donaldson, A., and Ozdogan, J., 2010, “The Wright State Model for Engineering Mathematics Education: Highlights from a CCLI Phase 3 Initiative,” Proceedings 2010 ASEE Annual Conference & Exposition, Louisville, KY, June 2010.6. Newberry, B. L., 2003, “Hands-on Learning in Engineering Mechanics using Layered Beam Design,” Proceedings 2003 ASEE Annual Conference & Exposition, Nashville, TN, June
conceptually expressed through aprogram educational objective. A second point of contention is that, for the assessment andevaluation of program educational objectives, there exists a long time constant that exceeds othershorter system time constants that do affect results, such as university institutional and curricularchanges, university personnel changes, or changes in the economy. This long time constant foreffecting change in the program educational objectives includes: (a) detecting a problem via the collected assessment data, (b) creating and implementing a solution plan, and (c) assessing the effectiveness the solution.The time constant for such a process is six to eight years or longer, depending on the solutionplan. If there is a
developmental math classesalready provide a tutorial session in addition to the lectures. However, it is only a one-hour openlab. Students go to the lab at their convenient time to get help from tutors. The tutorial lab showson the course schedule with one credit hour, but it is not recorded on the transcript for any credit.As a result, some students opt not to go to the lab. Compared to regular developmental mathclasses, the SBP math classes provide students with these advantages: a) attending the recitationsession regularly as a cohort; b) getting immediate feedback on their work and proper guidancefrom the instructor who can readjust his/her teaching plans according to students’ mastery andprogress; c) getting tutoring assistance from experienced
AC 2011-634: HIGHER TECHNOLOGICAL EDUCATION IN ENGLANDAND WALES BETWEEN 1955 AND 1966. THE CONTRIBUTION OF THEBRITISH ELECTRICAL ENGINEERING INDUSTRY TO ITS DEVELOP-MENTJohn Heywood, Trinity College Dublin Professorial Fellow Emeritus of Trinity College Dublin formerly Professor and Director of Teacher Ed- ucation in the University. During the period of this paper was a lecturer in radio communications at Norwood technical College, Senior Research Fellow in Higher Technological Education at Birmingham College of Advanced Technology, and Leverhulme Senior Research Fellow in Higher Education at the University of Lancaster. Has an MSc in Engineering Education from the University of Dublin
and its effect on materials-Creep,” http://www.ami.ac.uk/courses/topics/0124_seom/index.html#4, University of Bolton, UK. 4. Shogo Saito, TatsujiNakajima, “Glass Transition in Polymers,” Journal of Applied Polymer Science, Vol 2, Issue 4, pp-93-99, 1959. 5. J. A. Forrest, K. Dalnoki-Veress, and J. R. Dutcher, “Interface and chain confinement effects on the glass transition temperature of thin polymer films,” Physical Review E, Volume 56 » Issue 5 6. Gregory B. McKenna, “On the physics required for prediction of Long term performance of polymers and their composites,” Journal of Research of the National Institute of Standrad and Technology, Vol 99, No. 2, March-April 1994. 7. Momoh et. Al
short segmentsof about a minute’s length or less. The visual content is developed using Adobe®Flash®, Soundbooth®, Fireworks® and other tools and is carefully synchronized withthe audio track. It seems to take about a hour’s time to produce a segment of about aminute’s length. Of course, once a segment is developed it can be used infinitely often. Detailed data is collected as the concepts are taught to attain new insight into thelearning process. Student A viewed all the concepts at a single sitting with no pauses orrollbacks, indicating a more reflective approach to learning. Student B paused andrestarted the presentation frequently, and often went back to hear/view a sequence ofconcepts many times. Student C switched back and forth
Association for Advancement of Science.2 Hanson, Sandra L. (2007). “Success in Science Among Young African American Women: The Role of Minority Families.” Journal of Family Issues (28) 3-33.3 Ong, Mia (2009). “Findings from the Inside the Double Bind Synthesis Project: Empirical Research on Women of Color in STEM, 1970-2008.” Mini-Symposium on Women of Color in STEM. Arlington, VA, October 27, 2009, accessed March 3, 2010 at http://www.nsf.gov/od/oia/activities/ceose/mini-symp- pres/Women_of_color_stem_Oct2009/Oct27/MiaOng.pdf4 Carlone, H. B., & Johnson, A. (2007). Understanding the Science Experiences of Successful Women of Color: Science Identity as an Analytic Lens. Journal of Research in Science Teaching. 44 (8), 1187-1218
emissions inthese same categories (Figure 5 a & b). This largely reflects the drafting and implementation ofa formal “Energy Policy” by the VP of Operations. Page 22.566.8 (a) (b) (c) (d) Figure 5. The data presented show annual emissions (eCO2) (a) per square foot of building space (kBtu ft- 2 ), (b) per student and total energy use (c) per square foot (kBtu ft-2), and (d) per student (MMBtu student- 1 ) between 2002 and 2008. Using
Education, Singapore, 1993.2. C. J. Atman, K. M. Bursic, “Teaching Engineering Design: Can Reading a Textbook Make a Difference?”, Research in Engineering Design, 1996, pp.240-250.3. B. Olds, B. Moskal, and R. Miller, “Assessment in Engineering Education: Evolution, Approaches, and Future Collaborations”, Journal of Engineering Education, 94,1, Jan 2005, pp. 13-25.4. “Accreditation Criteria and Procedures 2008”, Canadian Engineering Accreditation Board, 2008, http://www.engineerscanada.ca/e/files/report_ceab_08.pdf5. “CDIO Syllabus”, CDIO, http://www.cdio.org/framework-benefits/cdio-syllabus6. Glaser, B., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research
) (b) Figure 3. J-DSP simulation for plotting the step response of a transfer function model.3.1. Step Response of Transfer Function Models A simple system is constructed by providing the transfer function and the step responseis plotted. In order to execute the block diagram, the student needs to place the Control Block in Page 22.445.5the workspace and set the parameter Dt. The student also experiments by varying the Dt fieldand observes that the Dt field has an effect on the resolution of the output plot. Figure 3demonstrates the block diagram and the step response obtained for the transfer function.3.2. Cascading Transfer Functions
AC 2011-69: HANDS ON PROGRAMMABLE LOGIC CONTROLLER (PLC)LABORATORY FOR AN INDUSTRIAL CONTROLS COURSESteven F Barrett, University of Wyoming Steven F. Barrett, Ph.D., P.E. received the BS Electronic Engineering Technology from the University of Nebraska at Omaha in 1979, the M.E.E.E. from the University of Idaho at Moscow in 1986, and the Ph.D. from The University of Texas at Austin in 1993. He was formally an active duty faculty member at the United States Air Force Academy, Colorado and is now the Associate Dean of Academic Programs, Col- lege of Engineering & Applied Science, University of Wyoming. He is a member of ASEE, IEEE (senior) and Tau Beta Pi (chief faculty advisor). His research interests include
). The transition from high-school physics to first-year electrical engineering: how well prepared are our students? Paper presented at the Proceedings of ASEE Annual Conference and Exposition, Pittsburgh, PA.4. Innis, K. (1996). Diary survey: how undergraduate full-time students spend their time. Leeds: Leeds Metropolitan University.5. Miller, C. M. L., & Parlett, M. (1974). Up to the mark: A study of the examination game. Guildford, UK: Society for Research into Higher Education.6. Snyder, B. R. (1971). The hidden curriculum. New York: Knopf.7. Black, P., & Wiliam, D. (1998). Inside the black box: raising standards through classroom assessment. Phi Delta Kappan, 80(2), 139-148.8. Black, P., & Wiliam, D. (1998
Education Annual Conference & Exposition, Chicago, IL.[3] MacAlpine, B., & Uddin, M. (2009). Integrating information literacy across the engineering design curriculum.Proceedings of the American Society for Engineering Education Annual Conference & Exposition, Austin, TX.[4] Williams, B., Blowers, P., Goldberg, J. (2004). Integrating information literacy skills into engineering courses toproduce lifelong learners. Proceedings of the American Society for Engineering Education Annual Conference &Exposition, Salt Lake City, UT.[5] Starkey, A., Kissick, B., Collins, J., & Oh, J. (2006). Faculty librarian partnerships for information fluencyinstruction: Planning and preliminary assessment. Proceedings of the American Society for
Response System for Increasing Engagement, Motivation, and Learning in HighEnrollment Lectures,” in Proceedings of the Eleventh Americas Conference on InformationSystems.[4] Graham, Charles R., Tonya R. Tripp, Larry Seawright and George L. Joeckel. (2007)“Empowering or compelling reluctant participators using audience response systems,” ActiveLearning in Higher Education.[5] Preszler, Ralph W., Angus Dawe, Charles B. Shuster and Michele Shuster. (2007)“Assessment of the Effects of Student Response Systems on Student Learning and Attitudes overa Broad Range of Biology Courses,” CBE - Life Sciences Education[6] Siau, Keng, Sheng, Hong and Fiona Fui-Hoon Nah. (2006) “Use of a Class ResposneSystem to Enhance Classroom Interactivity.” IEEE
) Page 22.599.6through (k) Student Outcomes. ABET (a) through (k) are given here (ABET Criteria, 2010): Engineering programs must demonstrate that their students attain the following outcomes: (a) an ability to apply knowledge of mathematics, science, and engineering (b) an ability to design and conduct experiments, as well as to analyze and interpret data (c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability (d) an ability to function on multidisciplinary teams (e) an ability to identify, formulate, and solve engineering
these talented young people to stay in our region. Our immediate goal is to continuedeveloping a hybrid educational/economic development program that converts state tax dollarsinto regional and state-wide wealth. 1. Katz, J.A. ―The chronology and intellectual trajectory of American entrepreneurship education:: 1876- 1999‖, Journal of Business Venturing,18:2, 2003, pp283—300 2. Carlsson, B. and Acs, Z.J. and Audretsch, D.B. and Braunerhjelm, P., ―Knowledge creation, entrepreneurship, and economic growth: a historical review‖, Industrial and Corporate Change, 19:6, 2009 3. Khanduja, D. and Singla, V. and Singh, R, ―Entrepreneurial ambience of engineering education in India‖, 2:4, 2009, pp341—355. 4
b c d e f g h i j k Define the problem, identify customer needs, and transform 2 1 the needs into design requirements. 1 2 Access information from a variety of sources, and critically
., Butler, A., & Roediger, R. (2009). Metacognitive strategies in student learning: Do students practice retrieval when they study on their own? Memory, 17, 471-479.[4] Fitts, P., & Posner, M. (1967). Human performance. Belmont, CA: Brooks Cole.[5] Underwood, G. (1974). Moray vs. the rest: The effect of extended shadowing practice. Quarterly Journal of Experimental Psychology, 34, 53-60.[6] Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience Experience.. New York: Harper and Row. (a) (b) (c)Figure 1.. Three examples from Ohm’s Law questions. Students
AC 2011-17: INTEGRATING ENTREPRENEURSHIP INTO MANUFAC-TURING ENGINEERING EDUCATIONNing Fang, Utah State University Ning Fang is an Associate Professor in the College of Engineering at Utah State University, USA. He has taught a variety of engineering courses such as metal machining, design for manufacturing, and engineer- ing dynamics. His areas of interest include computer-assisted instructional technology, curricular reform in engineering education, the modeling and optimization of manufacturing processes, and lean product design. He earned his Ph.D., M.S., and B.S. degrees in mechanical engineering and is the author of more than 60 technical papers published in refereed international journals and conference
AC 2011-1627: MYSTERIES AND HEROES: USING IMAGINATIVE ED-UCATION TO ENGAGE MIDDLE SCHOOL LEARNERS IN ENGINEER-INGLucy McAuliffe, Smith College Lucy McAuliffe is the senior editor and an instructional designer for the Talk to Me Project. Lucy is currently a student at Smith College, majoring in American Studies and Environmental Science & Policy. She is a First Group Scholar, and recipient of awards including the Newton Arvin Prize in American Studies and a grant from the Andrew W. Mellon Foundation. She plans to enter the publishing industry upon her graduation in 2012.Glenn W Ellis, Smith College Glenn Ellis is an Associate Professor of Engineering at Smith College where he teaches courses in engi- neering
‡‡ This article provides an additional case study of the BP Texas City Refinery accident in 2005. Kaplan, S., Garrick, B. J., “On the quantitative definition of risk.” Risk analysis, Vol. 1, No. 1, 1981, pp. 11–27. Pate-Cornell, E., “Uncertainties in risk analysis: Six levels of treatment.” Reliability Engineering and System Safety, Vol. 54, No. 2, 1996, pp. 95–111. Apostolakis, G. E. “How useful is Quantitative Risk Analysis?” Risk Analysis, Vol. 24, No. 3, 2004, pp. 515–520. Rasmussen, J., “Risk management in a dynamic society: A modeling problem.” Safety Science, Vol. 27, No. 2/3, 1997, pp. 183–213.The risk module in the course is typically covered over a two-week period (six to eight
φ = flux, Weber Other two equations used for electromagnetic field analysis are: φi Bi = (4) Page 22.1153.5 Ai Bi = µ i H i (5)where: B = flux density, Tesla A = cross section area of flux loop, square meter µ = permeability of the magnetic loop materialWith equation (2) – (5), many electromagnetic filed problems could be solved with magneticcircuit method. However, since the results obtained from these analyses are based on someassumptions
the capacity to identify evidence of learning Students have the capacity to judge the value of analytical thinking even if they did not achieve this themselves As a group, students reached a reliable consensus based on a functions approach to the development of stages and functions of design within a graphical „design without make‟ activityThis paper scrapes the surface of the importance and value of graphical education andthe potential richness of a conceptually driven „design without make‟ learningactivity.References 1. Mawson, B. (2003) „Beyond “The Design Process”: An Alternative Pedagogy for Technology Education‟, International Journal of Technology & Design Education, 13, 117-128. 2
standard grading scale: • A: best 10% of students • B: next 25% • C: next 30% • D: next 25% • E: next 10% • FX and F: failIn this scheme FX means “fail-some more work required to pass” and F means “fail-considerablefurther work required”.To compare the 1500-1800 hours “of study” expected for the 60 credits in one year, consider anapproximate comparison with a two-semester year at a U.S. institution (your mileage may vary).If a U.S. student in a technical discipline registers for 16 credit hours each semester, s/he mayhave a semester load similar to this:• One 4-credit course with 3 lecture hours and 2 lab hours/week• Two 3-credit courses with 2 lecture hours and 2 lab hours/week• Two 3-credit courses with 3 lecture hours/week
, only a small number of engineering students study physics either as a second major orat an advanced level in institutions of higher education, such as Rose-Hulman Institute of Technology(RHIT). Engineering technology students in general at Southeastern Louisiana University (SELU) also lacksufficient knowledge of physics, and their performance in classes such as Engineering Statics oftensuffers as a result.With these challenges in perspective, an effort is being made to encourage student interest so that they(a) can discover how to apply physics principles in real-world situations, and thus enhance theirbackground for an engineering/technology discipline, and (b) can be retained in the physics departmentat RHIT, with physics either as a first
. S. Monemi, B. Watkins, C. Bolton, A. Manimbo, Y.C. Tsang, N. Patel, J. Gurr, J. Huynh, “Smart Grid Design and Implementation” Senior Project Report, Cal Poly Pomona, June 2010.2. S. Monemi, “An outage Restoration Management System for Power Distribution Networks” ESRI Electric and Gas user conference, Fall 1999, Phoenix, AZ.3. Brown and Vranesic, “Fundamentals of Digital Logic with Verilog Design”, 2003, McGraw Hill.4. R.C. Jaeger and T.N. Blalock, “Microelectronic Circuit Design”, 4th Ed., McGraw Hill, N. Y. 2008.5. Mazidi, McKinlay, and Causey, “PIC Microcontroller and Embedded systems using assembly and C for PIC18”,Pearson, Prentice Hall, 2008
88Congress, Washington, D.C., November 15–21, 2003.6. Hu, H., Yu, L., Tsui, P. W. and Zhou, Q, “Internet Based Robotic System for Teleoperation, Assembly,and Automation,” International Journal of Assembly Automation, Vol.21, No.2, pp.143-151, 2001.7. Potgieter, J and Bright, G., “Modular Mechatronics Control System for Internet Manufacturing,”Proceedings of the 18th International Conference on CAD/CAM, Robotics and Factories of the Future,Porto, Portugal, pp. 529-536, July 2002.8. Taylor, K. and Dalton, B., “Internet Robotics: A New Robotics Niche,” IEEE Robotics and Automation,Vol.7, No.1, pp.27-34, March 2000.9. Pew Charitable Trusts, “Who’s Winning the Clean Energy Race?” March 2010,www.pewtrusts.org/uploadedFiles/wwwpewtrustsorg/Reports