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
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
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
, 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
, 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
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
assess theirunderstanding of Lego Robotics on a scale of 1 to 5, 5 indicating very good understanding and 1very little. The questions dealt with building with Legos, programming robots, teamwork,applying the EDP to solve robotics problems, sensors and their functions, and engineering andtechnology. Part II involved three questions. In it the students were asked to identify specificthings they learned in the class and to rate how the class contributed to their understanding ofproblem solving. Part III dealt with three types of questions: (a) Students’ understanding ofconcepts like engineering, technology, and the engineering design process; (b) Students’ interestin engineering as field of study or career and their view of the steps necessary to
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
indicate state (A) or Georgia county (B) where teacher workshopparticipants reside.We began our workshop development by exploring the numerous educational materials currentlyavailable on the Internet typically from NSEC, MRSEC, and the NNIN websites. Each lessonwas analyzed in terms of how it could possibly fit into current science topics. We also usedsecondary science textbooks to align the lesson with current curriculum. From examiningapproximately 40-50 NSE classroom lessons, we narrowed the list down to approximately sixthat we felt could address broad science concepts important to NSE and we designed our initialworkshops around these lessons. An additional consideration was that the lesson did not requireexpensive equipment, could be done
Berkeley, E10: Introduction to Engineering Design and Analysis.22. Oehlberg, L., Shelby, R., Agogino, A. (2009). Sustainable Product Design: Designing for Diversity in Engineering Education. International Journal of Engineering Education.23. Sternberg, R., Zang, L-F. (2001). Perspectives on Thinking, Learning, and Cognitive Style, Psychology Press.24. Kayes, Anna B., Kayes, D. Christopher, Kolb, David A. (2005). Experiential Learning in Teams. Simulation & Gaming, 36.25. McKenna, A.F., Hirsch, P. (2005). Evaluating Student Confidence in Engineering Design, Teamwork and Communication, Proceedings of the American Society for Engineering Education Annual Conference Page 22.31.12
“Nanophotonics”. In theHONET 2010 13 besides the regular focus, a special theme on the “Green ICT, Energy efficientdevice and networks” was added with the following sessions and panels.Sessions 1. Optical Internet 2. Nanophotonics and Enabling Technologies 3. ( a) Green ICT –Energy Efficient Devices and Networks (b) Lasers, Solar Cells and LEDs 4. Wireless Mesh and Sensor Networks Applications 5. ICT Oriented Architectures 6. Optical Switching and RoutingPanels 1. High Speed Networking Technologies: Components-Systems-Services 2. Enabling Technologies: Lasers, LEDs, and Solar devices3.0 Sponsoring Bodies and VenuesEfforts were made to organize the symposia in line with the objectives of HONET and its theme of“Bringing together professionals and
Ethics, 12, 571 – 582. 4. Newberry, B. (2004) “The Dilemma of Ethics in Engineering Education,” Science and Engineering Ethics, 10, 343 – 351. 5. Rest, J. R. (1982) “A Psychologist Looks at the Teaching of Ethics,” Hastings Center Report, 12, 29 – 36. 6. Rest, J. R. (1986) Moral Development: advances in research and theory (New York: Praeger). 7. Rest, J. R. and Narváez, D. F. (Eds.) (1994) Moral Development in the Professions: psychology and applied ethics (Hillsdale, NJ: Lawrence Erlbaum Associates). 8. Chan, S. and Leung, P. (2006) "The effects of accounting students' ethical reasoning and personal factors on their ethical sensitivity," Managerial Auditing Journal, 21 (4), pp. 436 - 457. 9. Armstrong, M.B., Ketz
Education. Int. J. Engineering Ed., Vol. 13, No. 4, p. 248-261.10. Reisslein, M, Tylavsky, D., Matar, B., Seeling, P., and J. Reisslein, 2007. Active and Cooperative learning in a freshman digital design course: Impact on persistence in engineering and student motivation orientation, Proceedings of the ASEE/IEEE Frontiers in Education, pp. S4A-1 – S4A-6.11. Thompson, M. K. 2009. ED100: Shifting Paradigms in Design Education and Student Thinking at KAIST. In Proceedings of the 2009 CIRP Design Conference.12. Clark, M. M. 2009. Transport modeling for environmental engineers and scientists. John Wiley & Sons, New York, 629 p
Engineering Congress and Exposition, 2007. 10. Etzkowtiz, H., Kemelgor, C., Neuschatz, M. and Uzzi. B., Athena unbound: Barriers to women in academic science and engineering. Science and Public Policy 19 (1992, 157– 179. Page 22.390.11 11. Bandura, A., Social foundations of thought and action: A social cognitive theory, Englewood Cliffs, NJ: Prentice-Hall, 1986.12. Lent, R.W., “Toward a unifying theoretical and practical perspective on well-being and psychosocial adjustment,” Journal of Counseling Psychology, 51 (2004), 482–509.13. Lent, R.W. and Brown, S.D., “Social Cognitive Career Theory and Subjective Well- Being in the
Page 22.451.13 (Eds.), Hillsdale, NJ, Erlbaum.8. Gilbert, J. (1995) The role of models and modeling in some narratives in science learning. 1995 Annual Meeting of the American Educational Research Association, San Francisco, CA.9. Boulter, C. J., & Buckley, B. C. (2000). Constructing a typology of models in science education, in Gilbert, J. K., & Boulter, C. J. (Eds.), Developing models in science education. Dordrecht, Netherlands, Kluwer Academic Publishers.10. Kelly, J., Krause, S., and Baker, S. (2010). A Pre-Post Topic Assessment Tool for Uncovering Misconceptions and Assessing Their Repair and Conceptual Change. 2010 Frontiers in Education Annual Conference.11. Krause, S., Kelly, J., Triplett, J
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
suchas “R_air,” “T_0,” and “M_2.” The second column is reserved for values for the constants orformulae where dependent variables are being computed. All formulae are written in terms ofthe assigned names, “= P_b/P_P0(M_2,gam).” Generic cell references are never used, “=B13/$B$10.” The third column contains the units. Units are emphasized, since neglecting unitsis a primary source of errors in engineering problems. Notes or cut-and-paste copies of theformulae are displayed in column D and beyond. Having visible copies of the formulae is veryimportant for readability and to debug the spreadsheet when an error occurs.Screen captures, sketches using the drawing tools, and text boxes can be added to furtherdocument the spreadsheet solution. As the
AC 2011-1822: INDUSTRY EXPERIENCE AND PERSPECTIVE: A SUR-VEY OF ADVICE BRIGHAM YOUNG UNIVERSITY CAPSTONE ALUMNISHARE WITH INCOMING STUDENTSTaylor Halverson, Brigham Young University Taylor Halverson earned a double major PhD at Indiana University in Instructional Technology and design and Judaism and Christianity in antiquity. He earned Master’s degrees from Indiana University and Yale University. His Bachelor’s degree was earned at BYU. Dr. Halverson spent several years working for Cisco in Silicon Valley where he designed creative learning experiences for thousands of customer service agents spread across the globe. Dr. Halverson currently works as a Teaching and Learning Consultant at BYU, assisting faculty
second exam, the commonquestion involved solving for an equivalent force system for a beam subjected tovarious point loads (Figure 2). This question asked the students to replace theforce system acting on the beam by two different equivalent systems. On the thirdexam, the common question involved solving for the forces acting in a member of a2-D frame (Figure 3). In common question 3 students were given the value of Pand asked to calculate all the force acting on member A-B-D. The test questionswere graded by the same person (Vilmann), avoiding any bias that might occur dueto differences in grading schemes.For the first exam, due to a miscommunication between the two authors, thestudents in the online course had a slightly more difficult
in STEM research fields.3. Evaluation PlansThree types of evaluations will be performed during the present project to ensure that we aremeeting the key objectives of this project: 1) formative evaluations which will be used to provideus with continuous feedback on whether we are meeting our objectives and 2) summativeevaluations will be used to measure how effectively the program has accomplished its statedgoals, and 3) Performance Measures to assess student retention and changes in the number offull-time, degree-seeking minority undergraduate students in the Industrial Engineering andMechanical Engineering department.The main components of the proposed model [a) teaching teachers to teach engineering program,b) peer undergraduate mentoring
, Temporal Stability, and Factor Structure,” Teaching and Learning in Medicine, vol. 22, no. 3, Oct. 2010.[6] B. A. Soloman and R. M. Felder, “Index of Learning Styles Questionnaire,” http://www.engr.ncsu.edu/learningstyles/ilsweb.html, accessed January 2011.[7] J. Mills, M. Ayre, D. Hands and P. Carden, “Learning About Learning Styles: Can It Page 22.172.5 Improve Engineering Education?,” MountainRise, vol. 2, no. 1, 2005.
sufficient online support provided by Google 1. Less robust network 1. Operating system is developing Disadvantages 2. Application development is not 2. Not very accurate touch screen open 3. Applications are not as diversified as Apple Store * evaluated early 2010 Page 22.927.3 (a) (b) Figure 1. Design of the interface for new Mobile technology application: (a) interface for the whole College of
of American Colleges and Universities, Washington, DC, 2010.3. Derek Bok, “Our Underachieving Colleges: A Candid Look at How Much Students Learn and Why They Should Be Learning More,” Princeton University Press, Princeton, NJ, 2006.4. Arum, R., and Roksa, J. “Academically Adrift: Limited Learning on College Campuses,” University of Chicago Press, Chicago, IL, 2011.5. Valenzuela, M., Allen, J. and Swenty, B., “Liberal Education: A Survey of Goals,” Proceedings of the 2008 ASEE National Conference and Exposition, Pittsburgh, PA, Paper AC 2008-973.6. Commission on the Future of Higher Education, “A Test of Leadership: Charting the Future of U.S. Higher Education,” U.S. Department of Education, Washington, DC