example of this activity is to decompose the steps taken to go from a placeto another (e.g. Leave house, make right, go straight for x miles, turn left, go straight y miles,arrive).B. Pattern RecognitionPattern Recognition is the ability to notice common characteristics or differences that will createshortcuts or make predictions. For example, suppose the sequence of numbers: 1, 4, 10, 19, and31. Can you describe the pattern? What would be the next number in the sequence? If correctlyidentified, the next number in the sequence should be 46. Even though this is a simple sequence,many algorithms and processes take into account some type of pattern recognition in order toformalize what is happening.C. Pattern Generalization and AbstractionOnce the
Page 24.1398.10water quantity and quality during rain events to landcover within the watershed. For the thirdmodule, students assessed the watershed on a rotating weekly basis by visiting the field site,analyzing data and writing on a course wiki about their observations. Overall, studentassessment results indicated that students believed exposure to the LEWAS was beneficial forlearning hydrologic concepts.24Table 1 outlines the details of the longitudinal true experimental research design52-53 in thesenior-level Hydrology course. Since this course has only a single section, random assignmentwill be used to break students into groups A and B of roughly five subgroups each with eachsubgroup consisting of roughly three students each. Following
for a field in transition. Journal of Engineering Education, 94(1), 7-10. Page 24.496.126. Lohmann, J. R. (2005). The editor’s page – Building a community of scholars: The role of the Journal of Engineering Education as a research journal. Journal of Engineering Education, 94(1), 1-6.7. Jesiek, B. K., Newswander, L. K., & Borrego, M. (2009). Engineering education research: Discipline, community, or field? Journal of Engineering Education, 98(1), 39-52.8. Carberry, A. & Yasuhara, K. (2014). Engineering education community resource. Retrieved from http://engineeringeducationlist.pbworks.com9. Q
solve problems solve of the world world by making stuff stuff Page 24.902.5 by design design Table 3. Example student responses to ‘In your own works, what is engineering?’ Example A “I would call engineering the application of math and scientific concepts to solve real work problems through creating technologies.” scored 6 of 8 qualifier themes Example B “basically like technical problem
, perceived cultural distance, and english self-confidence. Retrieved from ProQuest, TheUniversity of Texas at Austin.5. Ye, Y. (1992), Chinese students' needs and adjustment problems in a U.S. university. Retrieved from ProQuest,The University of Nebraska, Lincoln.6. Baxter Magolda, M. B. (2001). Making their own way: Narratives for transforming higher education to promoteself-development. Sterling, VA: Stylus.7. Baxter Magolda, M. B. (2008). The evolution of self-authorship. In M. S. Khine, (ed.), Knowing, knowledge andbeliefs: Epistemoloigcal studies across diverse cultures. New York: Springer.8. Perry, W. G. (1970). Forms of intellectual and ethical development in the college years: A scheme. New York:Holt, Rinehart and Winston.9. Belenky, M. F
). University A University B Total n % n % n % Gender Female 7 13.2 2 33.3 9 15.3 Male 46 86.8 4 66.7 50 84.7 Total 53 100.0 6 100.0 59 100.0 Age Range 17-18 14 26.4 0 0.0 14 23.7 19-20 21 39.6 3 50.0 24 40.7 21-22 14 26.4 3 50.0 17 28.8
-83.24. Strutz, M., (2012), Influences on low-SES first-generation students' decision to pursue engineering. Doctoral dissertation, Purdue University.25. Rhoads, T. R., S. E. Walden, and B. A. Winter. 2004. Sooner Elementary Engineering and Science – a model for after-school science clubs based on university and K-5 partnership. Journal of STEM Education 5: 47-52.26. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge: Harvard University Press.27. Crowley, K., M. A. Callanan, J. L. Jipson, J. Galco, K. Topping, and J. Shrager. 2001. Shared scientific thinking in everyday parent-child activity. Science Education 85 (6): 712-73228. Yin, R. E. (2009). Case Study
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 problems f. an understanding of professional and ethical responsibility g. an ability to communicate effectively (3g1 orally, 3g2 written) h. the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and
example,design different filters based on their pole/zero location, an obvious characteristic evidentin the frequency domain.Example 2. Similar to Example 1 but with zero initial conditions (ZIC):6y[n] – 5y[n-1] + y[n-2] = 6x[n] , x[n] = (2)n u[n] , y[-1] = y[-2] = 0y[n] = yh[n] + yp[n] = C1(0.5)n + C2(1/3)n + C3(2)n = -(0.5)n + 0.4(1/3)n + 1.6(2)n, n ≥ 0.H(z) = Y(z)/X(z) = 6z2/(6z2 -5z +1), Y(z) = X(z)H(z) = z3/[(z - 0.5)(z - 1/3)(z - 2)].At the same time students can use MATLAB solution to compare it to the analyticalformulation presented above.>> n=0:1:10; B=[1]; A=[1, -5/6, 1/6]; x=2.^n; y=filter(B,A,x)y = 1.0e+003 * Columns 1 through 10 0.0010 0.0028 0.0062 0.0127 0.02550.0512 0.1024 0.2048
qualitativediscussions offer critical and analytical thinking opportunities for K-12 students. They can alsoserve to launch v-mixing investigations for engineering students. For the latter students, adetailed discussion of V-mixing and the convective and shear mixing involved in the processfollows. Figures 8 a and b are schematics of the polycarbonate V-mixer assembly and theV-mixer stand designed and constructed for a wide range of applications and mixer loads. Asthe Figure 8 b shows, the V-mixer rests on a rotating stand. Thus, no torque is directly appliedon the V-mixer. The pneumatic motor is connected directly to the v-mixer stand. Page 24.797.11Figure 8 a: V
. Page 24.265.14ReferencesAntoncic, B., & Hisrich, R. D. (2001). Intrapreneurship: Construct refinement and cross-cultural validation. Journal of Business Venturing, 16(5), 495-527. doi: http://dx.doi.org/10.1016/S0883-9026(99)00054-3Besterfield-Sacre, M., Ozaltin, N. O., Robinson, A., Shuman, L., Shartrand, A., & Weilerstein, P. (2013). Factors Related To Entrepreneurial Knowledge in the Engineering Curriculum. The Journal of Engineering Entrepreneurship, 4(1), 31-38.Board on Engineering Education, N. R. C. (1995). Engineering Education: Designing an Adaptive System. In N. A. Press (Ed.): National Research Council.Crawley, E. F., Malmqvist, J., Lucas, W. A., & Brodeur, D. R. (2011). The CDIO
in Technical Courses: Procedures, Pitfalls, andPayoffs.” Report to the National Science Foundation. ERIC Document Reproduction Service No. ED 377 038.11. Heller, P., and Hollabaugh, M. (1992) “Teaching problem solving through cooperative grouping. Part 2:Designing problems and structuring groups.” Am. J. Phys. 60(7), 637-644.12. Johnson, D. W., Johnson, R. T., and Smith, K. A. (1991) Active learning: Cooperation in the college classroom.Edina, MN: Interaction Book Company.13. Kaufman D. B. and Felder, R.M. (2000) Accounting for Individual Effort in Cooperative Learning Teams,Journal of Engineering Education, 89(2), 133–140.14. Alciatore, D. & Histand, M. (2012) Introduction to Mechatronics and Measurement Systems. McGraw-Hill.Companion
14 A. Knowledge 1. articulate the pervasiveness of technology in everyday life. 2. Define basic engineering concepts and terms, such as systems, constraints and trade-offs. 3. Describe the nature and limitations of the design process. 4. Explain some of the ways technology shapes human history and people shape technology. 5. Compare the benefits and risks that all technologies entail, some that can be anticipated and some that cannot. 6. Identify the effects of technology on the environment. B. Ability to engage. 7. Describe the development and use of technology and evaluate trade-offs including a balance of costs and benefits both economic and social. 8. Identify
right, and bottom left respectively. In addition, six auxiliary icons are also created in this development: a. Cable Color Selection Students will be able to select colors for the wiring cables used in their laboratory works. For example, they may choose red color for the cables connected from the +24V- Volt power source and blue for the cables connected to the 0-V power source. b. File Save Each student can save his/her project in a file which can be used to submit his/her work to the instructor and/or stop his/her unfinished work whenever he/she wants. c. File Open The instructor can use this icon to open a file sent from a student for grading purpose, or a student can continue his/her unfinished
Page 24.820.9 of Technology Studies, 36(1), retrieved from: http://scholar.lib.vt.edu/ejournals/JOTS/v36/v36n1/daugherty.html4. Williams, C. B., Lee, Y. S., Gero, J. S., & Paretti, M. C. (2012, October). Examining the Effect of Design Education on the Design Cognition: Measurements from Protocol Studies. In 2012 Frontiers in Education Conference Proceedings (pp. 1-6). IEEE.5. Collins, A., Brown, J. S., & Holum, A. (1991). Cognitive apprenticeship: Making thinking visible. American Educator, 6(11), 38-46.6. White, B., & Frederiksen, J. (2005). A theoretical framework and approach for fostering metacognitive development. Educational Psychologist, 40(4), 211- 223.7
hidden menu (Figure 2).To conserve screenspace, the menu willexists as a small imageat the top of the screen.Students will be able toaccess this menu byeither tapping the imageor swiping from left toright. The menu willserve as the mainmethod of navigationthrough the application;students will be able toaccess their profile,settings, informedconsent information,and log out of theapplication. Moreimportantly, studentswill be able to answerquestions. The Profilescreen will allowstudents to update theirdemographic A Binformation. This screen willcontain the same fields Figure 1. Mockup of the Home screen, both (A) with questions and (B) when no
Paper ID #8567ACTIVE ANALOG CIRCUIT DESIGN: LABORATORY PROJECT ANDASSESSMENTDr. Ravi P. Ramachandran, Rowan University Ravi P. Ramachandran received the B. Eng degree (with great distinction) from Concordia University in 1984, the M. Eng degree from McGill University in 1986 and the Ph.D. degree from McGill University in 1990. From October 1990 to December 1992, he worked at the Speech Research Department at AT&T Bell Laboratories. From January 1993 to August 1997, he was a Research Assistant Professor at Rutgers University. He was also a Senior Speech Scientist at T-Netix from July 1996 to August 1997. Since
providing ideas and stimulating dialog with other programs considering increasing theinvolvement of their board members. Page 24.914.7Bibliography1. Akili, W. (2012). Academia industry collaboration. Proceedings of the 2012 Annual Conference & Exposition, American Society for Engineering Education. Retrieved from http://www.asee.org/search/proceedings2. Jones, J. W., & Roan, L. A. (2012). Advisory board industry-university collaboration. Academic Exchange Quarterly, 16(4), 135-139.3. Flores, B. C., Swift, A., Brady, T., & Martinez, J. R. (2002). The effectiveness of an advisory board as a critical friend. 32nd ASEE/IEEE
curricular pedagogy. Further in-depth researches are needed with 11 more appropriate samples having focus on discerning the impact and significance of differentscaffolding attributes on learning outcomes.ReferencesAcademies, N. A. o. E. o. t. N. (2005). Educating the Engineer of 2020: Adapting Engineering Education to the New Century: The National Academies Press.Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C., & Norman, M. K. (2010). How learning works: Seven research-based principles for smart teaching: John Wiley & Sons.Anderson, K. J. B., Courter, S. S., McGlamery, T., Nathans-Kelly, T. M., & Nicometo, C. G. (2010). Understanding engineering work
research: discipline, community, or field? Journal of Engineering Education, 98(1), 39-52.11. Burt, R.S. (2004). Structural holes and good ideas. American Journal of Sociology, 110(2), 349-400.12. Coso, A., Louis, R., London, J., Ngambeki, I., and Sattler, B. (2012). Exploring the reasons for collaboration and cooperation among graduate student researchers. Paper presented at the ASEE Conference, San Antonio, TX.13. Olds, B.M. Moskal, B.M. and Miller, R.L. (2005). Assessment in engineering education: Evolution, approaches and future collaborations. Journal of Engineering Education, 94(1), 13-25.14. Mckenna, A.F. Yalvac, B. and Light. G.J. (2009). The role of collaborative reflection on shaping engineering faculty
be put in place. This could be considered a combination of message encryption and authentication. For the Student Activities component of each module, there are two basic required partswhose completion assures that the respective knowledge is acquired: (a) Required Reading and(b) Hands-on Exercise. In case of Java Security module, the Required Reading involved theessential mandatory reading from the source “Java Security Overview” white paper,9 and anoptional reading material from a selection of Java security books, determined primarily by theiravailability in the school library.10-12 The reading was accompanied by a specially developed Hands-on Exercise, which involvedfollowing the actual code to replicate the security violation
.21. Geertz, C. (1983). Local Knowledge: Further Essays in Interpretive Anthropology. New York: Basic Books.22. Gertner, D., & Grudin, J. (1985). The Evolution of Mental Metaphors in Psychology: A 90-year Retrospective. American Psychologist, 40, 181–192.23. Knorr-Cetina, K. D. (1981). The Manufacture of Knowledge: An Essay on the Constructivist and Contextual Nature of Science. New York: Pergamon Press.24. Miles, M. B., & Huberman, A. M. (1994). Qualitative Data Analysis (2nd ed.). Thousand Oaks: Sage.25. Miller, A. (1986). Imagery in Scientific Thought. Cambridge: MIT Press.26. Miles, M. B., & Huberman, A. M. (1994). Qualitative Data Analysis (2nd ed.). Thousand Oaks: Sage, p. 250.27. Miles, M. B., & Huberman, A. M
in engineering education, participatory design in manufacturing systems, and she has also published research in rapid prototyping. Victoria loves to learn and help others to learn.Dr. (Ruth) Jill Urbanic P.Eng., University of Windsor (Ruth) Jill Urbanic received her B. A. Sc. in Mechanical Engineering at the University of Waterloo in Canada. After graduating, she pursued opportunities to work in various advanced manufacturing environ- ments. She has been involved with design, implementation, and support for several types of manufactur- ing, material handling, testing, gauging and assembly equipment for a variety of engine components and vehicle styles. Dr. Urbanic wished to enhance her practical background with more
Firstly, most of real life and professional problems are ill-encourage students to choose more expert-like strategies during structured (multiple-possibility problems). Such problems a)the solution process? Does it help students gain better conceptualunderstanding of the content material? Research shows that the often have missing information, vaguely defined goals oranswer to the above questions is negative. Studies on expert- unstated constrains, b) possess multiple solutions withnovice differences and on cognitive processing suggest that the multiple criteria for evaluating the solutions, and c) presentpotential reason is the goal
challenges during the semester long project.Question 1. Which one of the following has presented you with the greatest challenges incompletion of your Capstone project? a. Using curricular/technical knowledge gained in your courses or learned independently to solve the problem b. Dealing with communication problems, delays, different personalities, company specific constraints (policies, protocols, procedures), scope changes, or prioritization? c. Internal capstone team issuesThe results from this question can be seen in Figure 1. Students overwhelming reported that thegreatest challenges were related to the working within a professional work environment. This isconsistent with previous research that reports frustration with
Education. Journal of Professional Issues in Engineering Education & Practice 2011, 137, (3), 162-173.8. Mueller, N. C.; Buha, J.; Wang, J.; Ulrich, A.; Nowack, B., Modeling the flows of engineered nanomaterials during waste handling. Environ. Sci.-Process Impacts 2013, 15, (1), 251-259.9. Lozano, P.; Berge, N. D., Single-walled carbon nanotube behavior in representative mature leachate. Waste Management 2012, 32, (9), 1699-1711.10. Reinhart, D. R.; Berge, N. D.; Santra, S.; Bolyard, S. C., Emerging contaminants: Nanomaterial fate in landfills. Waste Management 2010, 30, (11), 2020-2021. Page 24.422.711. Pierce, C
ScienceFoundation, Arlington, VA, Oct. 20-21, 2010.7 Ferguson, D.M., J. Cawthorne, B. Ahn, and M.W. Ohland, “Engineering Innovativeness,” in press, Journal ofEngineering Entrepreneurship, December 2012.8 Genco, N. (2010). "An Experimental Investigation of the Innovation Capabilities of Engineering Students,"American Society of Engineering Education, Austin, TX.9 Goldsmith, R. E. (1990). “The validity of a scale to measure global innovativeness,” Journal of Applied BusinessResearch, Vol. 7, No. 2, pp. 89-97. Goldsmith, R. E. and C. F. Hofacker (1991). “Measuring consumer innovativeness,” Journal of the Academy of10Marketing Science, Vol. 19, No. 3, pp. 209-221. Hurt, H. T., Joseph, K., and C. D. Cook (1977). “Scales for the measurement of innovativeness
TOR mapping tool.the attendees were also used as supplements to thepresentation. B. Opening and Initial Assessment With the arrival of each set of STEM participants, anB. Software initial assessment comprised of three background questions A set of DVDs from the TAILS i386 version 0.18 ISO was was conducted to survey their overall awareness of the topicsproduced for student-use laptops, as well as a version of to be presented in the module (see Figure 1). With theUbuntu built as a live boot DVD, specifically Ubuntu Live Summer Seminar attendees
24.656.1110. Kathy Kowalenko “Lighting up Haiti, IEEE volunteers help bring electricity to rural areas” The Institute, IEEE News Service, April 2011.11. Yago, Jeffrey B., “Solar Power Trailer Part 1,” Backwoods Home Magazine, Issue #108, Nov. /Dec. 2007.12. Counting on Solar Power for Disaster Relief, DOE/GO-10099-729, U.S. Department of Energy, Federal Energy Management Program, Washington D.C., April 1999.13. The Florida Solar Energy Center (FSEC). http://www.fsec.ucf.edu/en/14. Global donor platform for rural development http://www.donorplatform.org/component/15. Erik H. Lysen, “Pico Solar PV Systems for Remote Homes: A new generation of small PV systems for lighting and communication,” Report IEA-PVPS T9-12: 2012
evaluation scale consisted of 15 separate itemsthat addressed the particular aspects of the four symposium’s workshops, see Appendix A. Inorder to assess the utility of each workshop four content-based or “knowledge-based” tests weredeveloped for each workshop presentation addressing the key concepts delivered by the Page 24.635.7workshop presenters. A pre-test and a post-test research design were implemented to assess theamount of information acquired by the workshops’ participants. Appendix B presents these testsfor each of the delivered workshops.Data Analyses. Descriptive and inferential statistics were performed to address both the qualityof