technologies.References1. H. G. Yeh, D. F. Gayme, S. H. Low “Adaptive VAR Control for Distribution Circuits with Photovoltaic Generators,” IEEE Trans. On Power Systems, Vol 27, No. 3, August 2012.2. C. Demoulias, “A New Simple Analytical method for Calculating the Optimum Inverter Size in Grid- connected PV Plants” Electric Power System Research, vol. 80, Issue 10, pp. 1197-1204, October 2010.3. R. Manly. (2013, Nov 15). Energy Conference Returns [Online]. Available:4. http://www.csulb.edu/misc/inside/?p=44313 Proceedings of the 2014 American Society for Engineering Education Zone IV Conference Copyright © 2014, American Society for Engineering Education
thecommissions are “enabled and appointed by the Board.” ASCE was unconvinced by thisargument, because the issue at hand was about establishing policies and procedures, notconducting accreditation activities.At the meeting, ASCE’s Board members went forward with their two planned motions regardingapproval authority for the APPM, and both were approved. From ASCE’s perspective, thisdecision affirmed the Board’s sole responsibility for approving ABET policies and procedures.Program NamingWithout question, the most complex and controversial accreditation policy issue faced by theASCE task committee has been program naming. At the heart of this issue is paragraphII.E.4.c.(2) of the APPM: “If a program name implies specialization(s) for which ProgramCriteria
the National Science Foundation under thegrant TUES 1245482. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References1. Ma, J., and J. Nickerson. 2006. Hands-on, simulated, and remote laboratories: A comparative literature review. ACM Computing Surveys, 38(3), 1-24.2. Wieman C. and K. Perkins. 2005. Transforming physics education. Physics Today,58(11), 36-41.3. Perkins, K., Adams, W., Dubson, M., Finkelstein, N., Reid, S., Wieman, C., & LeMaster, R. 2006. PhET: Interactive simulations for teaching and learning physics. The Physics Teacher, 44, 18.4. Finkelstein, N.D., W.K. Adams, C.J
performance expectations. We highlight these moments to show evidence ofthe group’s framing, with particular attention to how their reasoning and actions within stableframes reflect NGSS practices, disciplinary core ideas, and crosscutting concepts.Phase 1: Defining and delimiting the problemIn the days previous to this excerpt, Ms. M’s class had read If You Lived in Colonial Times aspart of an integrated Social Studies and English Language Arts unit. Excited by her students’interest in the historical context, Ms. M decided to do an IEL activity, posing the question to herstudents, As engineers, what could we design that would make their lives easier? Three boys inMs. M.’s class, Colin, Jonah and Brayden, immediately began designing and building a
experiences and outcomes of undergraduate STEM students. She has been the lead external evaluator for a number of STEM and NSF- funded projects, including an NSF TUES III, a WIDER project, an NSF EEC project through WGBH Boston, an NSF RET project, an S-STEM project, a CPATH project, and a CCLI Phase II project. She also currently serves as the internal evaluator for WMU’s Woodrow Wilson Fellows project and the institution’s Howard Hughes Medical project, and has contributed to other current and completed evaluations of NSF- funded projects carried out at SAMPI. Page 24.565.2 c
mini-map in Figure 4. As dis-cussed later, the view was changed to a first-person point of view and enabled the player to shootenemy turrets along the path. The view also contained several visual elements to indicate thestatus (e.g. health, shields, etc.) of each ship in the convoy. Figure 4. MT-18’s first-person view and overhead mini-mapIn trying to satisfy the constraints of both architecture and gaming, students needed to be clever.Architecture students expressed interest in seeing their models not only from a specific view-point (~ 5 to 6 feet above the ground), but were also interested in visualizing the models in theirentirety. All groups used different approaches for this constraint, but were able to integrate these
includes four categories of how anindividual processes and evaluates information29. The first category describes how a personinteracts with his or her environment. People who take initiative and gain energy frominteractions are known as Extroverts (E). Introverts (I), on the other hand prefer more of arelatively passive role and gain energy internally. The second category describes how a personprocesses information. A person who process data with their senses is referred to as a Sensors(S) and a person who sees where data is going in the future is called an iNtuitor (N). The Sensorversus iNtuitor category is an interesting area of study when it comes to engineering education,because professors are historically intuitors while most engineering
, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National Science Foun-dation.Bibliography1. National Academy of Engineering, The Engineer of 2020: Visions of Engineering in the New Century, NationalAcademies Press, 2004.2. National Science Board, Moving Forward to Improve Engineering Education, National Science Foundation Re-port NSB-07-122, 2007.3. Bill Seil, “Design anywhere, build anywhere, work anywhere”, Boeing Frontiers, June 2005. Online at: (Re-trieved March 30th 2014: http://www.boeing.com/news/frontiers/archive/2005/june/ts_sf08.html)4. Bart H. M. Gerritsen, “How to Adapt Information Technology Innovations to Industrial Design and Manufactur
.). How are fatigue related tests used to develop S-NFatigue curves with endurance limits that depend on N # of cycles? Does the “knee” exist in theS-N Fatigue curve for the material of the selected mechanical component? Describe the relevantfatigue tests, failure criteria and fatigue failure mechanisms for the mechanical component.Discuss various failure theories (e.g., Ch. 6 of textbook6) including maximum-distortion-energytheory (i.e., von Mises), maximum shear stress theory, and “Mohr and Modified Mohr” theories.Discuss bi-axial failure criteria for biaxial loadings. Discuss failure as it relates to tri-axialloadings. Discuss failure due to ductile vs. brittle materials. Discuss the role that the generalform of the von Mises stress equation
delivery reflect a slightly higher mean, the difference isstatistically insignificant. After some discussion, we arrived at some possible reasons why thisoccurred.Design presentations have been in place in ECE since 1978, when it was first implemented insenior design. In the mid 1990’s the practice was integrated into sophomore and senior design.Because the practice has been in place in all three courses for almost 20 years, it has becomeinstitutionalized as a disciplinary genre in oral communication. Student familiarity with theexpectations of the presentation—the team approach and the prescribed time limit of 20minutes—may explain the minimal difference between project and control students’performances. In addition, when we examine all of the
Page 24.777.16renowned brands. As is well-known, the enormous success of the German economy is duepredominantly to the success of the numerous small and medium size high tech andmanufacturing companies, which may not be as well known as a Bayer, BMW or Siemens, butwho are leaders in certain niche markets. They have proven to be excellent hosts for ourundergraduates since they have a strong interest interacting with them and integrating them intotheir company life and culture especially if they have an employee championing the internshipprogram because s/he is an alum of the IEP. Examples for mid-sized companies in which alumsplay a major role in placing our students are the automotive supplier IAV, Beinbauer Automotive,Hilti, a world leader in
engineers intheir community, career expositions, friends or family members, class trips, guest speakers ormedia.[5,7,8] Unfortunately, current methods of educating K-12 students about engineering andengineering careers have shown little impact, with the percentage of U.S. bachelor’s degreesawarded in engineering remaining constant around 4.5% over the past decade, down from anaverage of 7.1% during the 1980’s.[9] While it may appear beneficial to bring an engineer intothe classroom to spend time with the students and talk about their profession, many students areoften left with only a slight understanding of the guest engineer’s career and fail to seethemselves in the same role as that engineer.[10] More effective methods of generating
Evaluations During the 2004-2005Accreditation Cycle, Engineering Accreditation Commission, Accreditation Board for Engineering and Technology,ABET, Inc., Baltimore, Maryland, 2005.5 ASCE. Civil Engineering Body of Knowledge for the 21st Century: Preparing the Civil Engineer for the Future,2nd Edition, Reston, VA, 2008.6 Bloom, Benjamin S. Taxonomy of Educational Objectives, New York: Longman, 1956.7 Ressler, S. J., “Influence of the New Civil Engineering Body of Knowledge on Accreditation Criteria.”Proceedings of the 2008 Annual Conference of the American Society for Engineering Education, June 2008.8 Ressler, S.J., “The Raise the Bar Inititiative: Charting the Future by Understanding the Path to the PresentAccreditation Criteria.” Proceedings of
smart mobile devices). The course relies heavily on open source software such as Linux, Python, Java, Android, cross-platform Mobile Development PhoneGap (Cordova), Web Development Technologies (HTML, JavaScript, CCS, php, for example), MySQL, and Apache Web ServerCourse Design ObjectivesThe course goal is to prepare the students to create value, innovate, and roll out creativeapplication prototypes in a small, nimble and entrepreneurial work environment. The course hasbeen designed to meet the following objectives: • to expose under-skilled students to basic networking, computing and software development technologies and tools and important trending; • to form highly motivated and diverse team(s) that are effective
, organizational simplicity, high adaptability to a particular society or cultural environment, sparing use of natural resources, low cost of final product, or high potential for employment.9(p. 10)During the 1980’s, when the National Science Foundation sponsored a program dedicated toresearch in Appropriate Technology, the definition in the program solicitation was similar,though somewhat less prescriptive: Appropriate Technologies are defined as those which possess many of the following qualities: they are decentralized, require low capital investment, are amenable to management by their users, result in solutions that conserve natural resources, are in harmony with the environment, are small or intermediate scale, and are more labor- than
). CUNY Student Experience Survey. New York City College ofTechnology, CUNY.[2] Barnett, S. & Ceci, S (2002). When and where do we apply what we learn? A taxonomy for far transfer.Psychological Bulletin, 128(4), 612-637.[3] Benander, R., & Lightner, R. (2005). Promoting transfer of learning: Connecting general education courses. TheJournal of General Education, 54 (3), 199-208.[4] Cabo, C., & Lansiquot, R. D. (2013). Development of interdisciplinary problem-solving strategies throughgames and computer simulations. In R. D. Lansiquot (Ed.) Cases on interdisciplinary research trends in science,technology, engineering, and mathematics: Studies on urban classrooms (pp. 268-294). New York: IGI Global.[5] Campbell, J. (1949). The hero with
. Figure 5: Example Problem Involving Electric Circuits Page 24.1391.8After an introduction to Nodal Analysis and Mesh Analysis to give the students an idea wherethe equations are coming from, the focus is shifted to competency in solving the resultingequation(s). Particularly with Nodal, the student needs to be comfortable in dealing withfractions and finding a common denominator. After simplifying, the remaining equation is linear.Solving for , the result is 12 V. This can be validated using PSPICE, which can serve as agood technology application if the class is able to access this program (Figure 6). Figure
]. Available: http://shop.oreilly.com/product/0636920022466.do. [Accessed: 09-Aug-2013]13. N. Burlingame, The Little Book of DATA SCIENCE, 2012 Edition. New Street Communications, LLC, 2012.14. N. Burlingame and L. Nielsen, A simple introduction to data science. Wickford, RI: New Street Communications, 2012.15. J. Lin, Data-intensive text processing with MapReduce. [San Rafael, Calif.]: Morgan & Claypool Publishers, 2010 [Online]. Available: http://www.morganclaypool.com/doi/abs/10.2200/S00274ED1V01Y201006HLT007. [Accessed: 09-Aug- 2013]16. D. Miner and A. Shook, “MapReduce design patterns,” 2012. .17. S. Owen, Mahout in action. Shelter Island, N.Y.: Manning Publications Co., 2012.18. E. Hewitt, Cassandra
. 4 (2007): 321-334.11. Nokleby, Scott B., and Remon Pop-Iliev. "A Design Challenge-Incorporating Design into the First Year Engineering Curriculum." Proceedings of the Canadian Engineering Education Association (2011).12. Felder, Richard M., G. N. Felder, and E. J. Dietz. "The effects of personality type on engineering student performance and attitudes." Journal of Engineering Education 91, no. 1 (2002): 3-17.13. Lee, Stephen, Martin C. Harrison, Godfrey Pell, and Carol L. Robinson. "Predicting performance of first year engineering students and the importance of assessment tools therein." engineering education 3, no. 1 (2008): 44-51.14. Qualters, Donna M., Thomas C. Sheahan, Emanuel J. Mason, David S. Navick, and
., Simon P. Jones P., Humphreys S., and Sentence A. (2013), “Bringing computer science back into schools: Lessons from the UK,” presented at ACM Technical Symposium on Computer Science Education (SIGCSE), Denver, Colorado, March.5. http://cs.columbusstate.edu/documents/SITE_Paper.pdf6. Prusaczyk J. and Baker P. (2011), “Improving teacher quality in Southern Illinois: Rural access to mathematics professional development,” Planning and Changing, vol. 42, no. 2, pp. 101-119.7. Moskal B. and Skokan C. (2011), “Outreach programs and professional development activities at the Colorado School of Mines,” Journal of Higher Education Outreach and Engagement, vol. 15, no. 1, pp. 53-75, 2011.8. http://articles.philly.com/2014-01-06
. Redesign TRISC to simplify the controller 5. Introduce a lecture on technical report writingReferences1. Computing Curriculum 2001, Computer Science, IEEE Computer Society Press and ACM Press, December 15, 2001.2. Computer Engineering 2004, Curriculum Guidelines for Undergraduate Programs in Computer Engineering, IEEE Computer Society Press and ACM Press, December 12, 2004.3. Computer Science Curriculum 2008: An Interim Revision of CS 2001, Report from the Interim Review Task Force, ACM and IEEE Computer Society, December 2008.4. D. V. Hall, “Teaching Design Methodology and ‘Industry Strength’ EDA Tools in a Frst-Term Freshman Digital Logic Course,” IEEE Transactions on Education, vol 41, No. 1, pp 45-49, Feb 1998.5. S. Areibi, “A
-efficacy, gender and experience with computers. Journal of Educational Computing Research, 26(2):133–153, 2002. 8 Ronald S Cheung, Joseph P Cohen, Henry Z Lo, and Fabio Elia. Challenge based learning in cybersecurity education. In Proceedings of the 2011 International Conference on Security & Management, volume 1. 9 Stephen Cooper, Christine Nickell, Victor Piotrowski, Brenda Oldfield, Ali Abdallah, Matt Bishop, Bill Caelli, Melissa Dark, E. K. Hawthorne, Lance Hoffman, Lance C. P´erez, Charles Pfleeger, Richard Raines, Corey Schou, and Joel Brynielsson. An exploration of the current state of information assurance education. SIGCSE Bull., 41(4):109–125, January 2010.10 Brian Dorn and Allison Elliott Tew. Becoming experts: Measuring
significant data analysis to determine which noise source(s) is possibly causing thepoor measurement. This allows for practice with other critical thinking skills, including: (i) under-standing what the data tells them about the circuit performance and (ii) interpretation of thesemeasurements, while providing immediate feedback as to whether or not their interpretation ofthe data was correct. The professor/expert-student spends less and less time modeling critical Page 24.396.6thinking skills as the quarter progresses, allowing the students more opportunities to practice themin pairs, learning from one-another.In the final mini-project
Lecture,” Hyperion, New York.9. W. Kamkwamba and B. Mealer, 2009, “The Boy Who Harnessed the Wind,” HarperCollins, New York.10. P. Lencioni, 2002, “The Five Dysfunctions of a Team: A Leadership Fable,” Jossey-Bass, San Francisco.11. P. Lencioni, 2007, “The Three Signs of a Miserable Job: A Fable for Managers (and Their Employees),” Jossey-Bass, San Francisco.12. M. Gladwell, 2008, “Outliers: The Story of Success,” Little, Brown and Company, New York.13. P.H. Diamandis and S. Kotler, 2012, “Abundance: The Future is Better Than You Think,” Free Press, NewYork.14. W.G. Bennis and R.J. Thomas, 2002, “Crucibles of Leadership,” Harvard Business Review, Boston.15. B. George, P. Sims, A.N. McLean, and D. Mayer, 2007, “Discovering Your Authentic
Lennartsson, ASEE/IEEE Frontiers in Education Conference, San Diego, CA, October 2006 13. The kiss of death? An alternative view of college remediation, by Adelman, C. (1998). National Crosstalk, 6(3). Retrieved from http://www.highereducation.org/crosstalk/ct0798/voices0798-adelman.shtml 14. New evidence on college remediation, by Attewell, P. A., Lavin, D. E., Domina, T., & Levey, T. (2006). Journal of Higher Education, 77(5), 886–924. 15. Summer bridge: Improving retention rates for underprepared students, by Garcia, P. (1991), Journal of the Freshman Year Experience, 3(2), 91–105. 16. The benefits of summer bridge programs for underrepresented and low-income students, by Ackermann, S. P. (1990, April
read a short description of a concept then immediately write and test codein MATLAB®.AcknowledgmentThis work was supported, in part, through a MathWorks grant from the Curriculum DevelopmentProgram in spring 2013. A portion of the grant supported the purchase of the Adobe Captivatesoftware used to create the videos.Bibliography1. P. Heller, R. Keith, and S. Anderson, “Teaching Problem Solving Through Cooperative Grouping. Part 1: Group Versus Individual Problem Solving,” Am. J. Phys. 60, 627-636 (1992).2. D. R. Woods, A. N. Hrymak, R. R. Marshall, P. E. Wood, C. M. Crowe, T. W. Hoffman, J. D. Wright, P. A. Taylor, K. A. Woodhouse, and C. G. K. Bouchard, "Developing Problem Solving Skills: The McMaster Problem Solving Program," ASEE J
. Active learning activities suchas team building and group discussion are very useful to enhance the pedagogical effectiveness.AcknowledgmentThis work is sponsored by NSF, Grant #0941839.Reference[1] A. Martinez-Mones, E. Gomes-Sanchez at el, “Multiple Case Studies to Enhance Project-based Learning in aComputer Architecture Course”, IEEE Transactions on Education, Vol. 48, No. 3, August, 2005[2] K. Smith, S. Sheppard, D. Johnson, and R. Johnson, “Pedagogies of Engagement: Classroom-Based Practices,”Journal of Engineering Education, Vol. 94, No. 1, 2005, pp. 87-102.[3] B. A. Karanian, L. G. Chedid, M. Lande, G. Monaghan, “Work in Progress - Behavioral Aspects of StudentEngineering Design Experiences” in Proceedings of the 38th ASEE/IEEE Frontiers