(Brundtland Report). Oxford: Oxford University Press.2 Blewitt, J., & Cullingford, C. (Eds.) (2004). The Sustainability Curriculum: The Challenge for Higher Education.Earthscan: London, UK.3 Shephard, K. (2010). Higher education’s role in ‘education for sustainability’. Australian Universities Review,52(1), 13-22.4 Corcoran, P. B., Walkerm K. E., & Wals, A. E. J. (2004). Case studies, make-your-case studies and case stories: Acritique of case-study methodology in sustainability in higher education. Environmental Education Research, 10(1),7-21.5 Groat, L., & Wang, D. (2002). Architectural Research Methods. John Wiley and Sons, Inc.: New York, NY.6 Wiek, Arnim; Ness, B.; Brand, F. S.; Schweizer-Ries, P.; & Farioli, F. (2012). From
undergraduate diversity (ROSE-BUD) program funded by an NSF S-STEM grant to increase the recruitment, retention and development of underrepresented popula- tions in electrical and computer engineering. She has approximately 20 peer-reviewed publications with two in the Computers in Education Journal. She also recently published a book on Mobile Robotics for Multidisciplinary Study.Dr. Deborah Walter, Rose-Hulman Institute of Technology Dr. Deborah Walter is an Associate Professor of Electrical and Computer Engineering at Rose-Hulman Institute of Technology. She teaches courses in circuits, electromagnetics, and medical imaging. Before joining academia in 2006, she was at the Computed Tomography Laboratory at GE’s Global
and presentedin Figure 4 indicates that students have different modes of attention. As examples, considerparticipant O-01802, who remains on-task for a majority of lecture, but occasionally “checks out”of lecture. Compare participant O-01802’s behavior with O-11801 who is mostly off-task, butoccasionally “checks in” to lecture. We also observe various on-task and off-task durationperiods. For example, participants O-02802 and O-03803 have long on-task duration periodswhereas O-05801 and O-05802 have very short on-task periods. Participant O-07802 is off-taskfor nearly the entire lecture (on-task for only 4% of lecture), while participant O-06801 is on-taskfor the entire lecture. On-task duration period, amount of task switching, and overall
@tech.edu: A study of comfort and the use of technology. Journal of College Student Development, 42(6), 625–31.9. Bonwell, C. C., & Eison, J. A (1991). Active learning: Creating excitement in the classroom. ASHEERIC Higher Education Report No. 1, George Washington University, Washington, DC.10. Taylor, M. M., Lederman, S. J., & Gibson, R. H. (1974). Tactual perception of texture. In E. C. Carterette & M. P. Friedman (Eds.), Handbook of perception, Vol. 3: Biology of perceptual systems. New York: Academic.11. Druyan, S. (1997). Effect of the kinesthetic conflict on promoting scientific reasoning. Journal of Research in Science Teaching, 34, 1083-1099.12. Sathian, K. (1998). Perceptual learning. Current
Instructional Media; 2002; 29:4.2 Hofstein, A, Rosenfeld, S., Bridging the Gap Between Formal and Informal Science Learning, Studies in Science Education, 1996,;28: 87-112.3 Tuthill, G., Klemm, E, Virtual Field Trips: Alternatives to Actual Field Trips, International Journal of Instructional Media; 2002;29:4.4 Ignatiuk, G., Influence of the Amount of Time Spent in Field Trip Activities on Student Attitude Toward Science and the Environment. S.S.T.A. Research Centre Report No. 49, Canada-Saskatchewan, 1-9. Page 23.1236.95 ABET – Assuring Quality in Technical Education, www.abet.org6 Krepel, W., & DuVall, C., Field Trips: A
Education & Nano Ctrs S&T Ctrs Education S&T Ctrs, 4 Science 6.66 13.17 Nano Ctrs, Workforce, 4.88 4.88 13.99 Science Centers Centers,National 57 Individuals 49.56 IndividualsNational and Groups
age where largeamounts of data are being collected with a growing need for those that can make “data-drivendecisions” [3]. McKinsey Global Institute, a business and economic research firm, claims thatwith the growth of digital data, the United States is going to need an additional 140,000 to190,000 analysts and more than 1.5 million managers capable of performing data analysis [4].Additional calls have been made for more statisticians in the federal system, working in placessuch as the Bureau of Labor Statistics or the United States Census Bureau [5].These pleas are not new, however; even in the early 1980’s authors were writing about the needto make the field of statistics as a separate discipline [6] and recognizing the growing need
G. Hackett, Toward a Unifying Social Cognitive Theory of Career and Page 23.621.18 Academic Interest, Choice, and Performance. Journal of Vocational Behavior, 1994. 45(1): p. 79-122.7. NAE, The Engineer of 2020: Visions of Engineering in the New Century. 2004, Washington, DC: National Academies Press. xv, 101 p.8. Bankel, J., K.F. Berggren, K. Blom, E.F. Crawley, I. Wiklund, and S. Ostlund, The CDIO syllabus: A comparative study of expected student proficiency. . European Journal of Engineering Education, 2003. 28(3): p. 297-317.9. Lattuca, L.R., P.T. Terenzini, and J.F. Volkwein, A study of the
“Revolution Postponed” is a critical analysis and review of the Human Genome Project. In thisarticle, published in Scientific American, author Stephen S. Hall compares the current progressof the endeavor to its projected outcome and discusses its future potential. The overall sentimentof the article is that the extensive amount of research and resources applied to the project hasproduced too few valuable results. Page 23.636.4When the Human Genome Project commenced in 2000, many anticipated that it would transformmedicine and essentially lead to the cure of most human diseases within ten years. That ten yearwindow has closed, and while the project has
Teaching, vol. 23, 1994, pp. 346-348.2. Stewart-Wingfield, S., & Black, G. S., “Active versus passive course designs: The impact on student outcomes,” Journal of Education for Business, vol. 81, no. 2, 2005, pp. 119-125.3. Elshorbagy, A., & Schonwetter, D. J., “Engineer morphing: Bridging the gap between classroom teaching and the engineering profession,” International Journal of Engineering Education, vol. 18, no. 3, 2002, pp. 295-300.4. Dorestanni, A., “Is interactive learning superior to traditional lecturing in economics courses?” Humanomics, vol. 21, no. 1/2, 2005, pp. 1-20.5. Felder, R. M., & Brent, R, “The ABC’s of engineering education: ABET, Bloom’s taxonomy, cooperative learning, and so on,” Paper
35.5 39 Influence mentor(s) while in college. Parental Motivation to study engineering due to parental influences. 15.8 19.6 InfluenceThe second reason for this focus was driven by the interest level from the pupils in some of theworkshops ECE has directed in the past and observing the success of existing programs, such asBotball and FIRST. The common theme of both of these programs is that they are focused onthe creation of a technologically advanced robot and framed into a fun competition that engagespupils. They have found a great way to leverage the intrinsic behavioral and intrinsicpsychological motivators. The merit of this recruiting methodology was reinforced whileserving as a mentor in the FIRST
. 188 weeks) and d also for thee different teechnical trainnings alreaddy received bby UGA vs. N NTUstudeents. UGA students s werre mostly sen niors and alrready had takken courses on ElectricaalCircuuits and Senssors and Tran nsducers, bu ut they only hhad formal ssoftware traiining in MattLaband not n in C/C++ +. On the oth her hand, NT TU students were at the sophomore level and haadformaal training inn C/C++ pro ogramming, but b may not have yet takken courses iin ElectricallCircuuits or Sensoors and Transsducers. Furrthermore, a “contract teeaching” appproach was uusedfor UGA U studentss to allow thhem to choosse their own challenge leevels in the llast 2 projectts outof a total t
andMotivations Survey as well as data collection and analysis outcomes of the subsequent phases ofour study will be topics of future publications.References1. NSF/NIH/USED/USDA/NEH/NASA. (2009). Survey of earned doctorates.2. Baker, S., Tancred, P., & Whitesides, S. (2002). Gender and graduate school: Engineering students confront life after the B. Eng. Journal of Engineering Education, 91(1), 41-48.3. National Science Foundation. (2012). Research in engineering education solicitation. Retrieved September 26 th, 2012 from http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503584.4. Finke, R. A., Ward, T. B., & Smith, S. M. (1992). Creative cognition: Theory, research, and applications. Cambridge, MA: The MIT Press.5
Page 23.121.4directly or indirectly, their own conception of the right answer and not support the solutionsbeing produced by the students.The second purpose is to prepare TAs to reliably evaluate and provide feedback on students’work on the MEA(s) slated for implementation in a given semester. TAs need guided practicewith prototypical student work that highlights different solution paths that they might encounter.This enables the TAs to develop a level of expertise with the problem posed in the MEA.Because the feedback the TAs provide is critical for students to be able to improve theirsolutions, the primary activity of the TA training model is focused on allowing TAs to exploreand practice their feedback skills.TA Training with MEAs in
for the ddifferences iin length of tthe course (115vs. 188 weeks) and d also for thee different teechnical trainnings alreaddy received bby UGA vs. N NTUstudeents. UGA students s werre mostly sen niors and alrready had takken courses on ElectricaalCircuuits and Senssors and Tran nsducers, bu ut they only hhad formal ssoftware traiining in MattLaband not n in C/C++ +. On the oth her hand, NT TU students were at the sophomore level and haadformaal training inn C/C++ pro ogramming, but b may not have yet takken courses iin ElectricallCircuuits or Sensoors and Transsducers. Furrthermore, a “contract teeaching” appproach was uusedfor UGA U studentss to allow thhem to choosse their own challenge
Page 23.1400.31 U.S. Department of Education, International and Foreign Language Education Service,http://www2.ed.gov/programs/fipsenortham/index.html2 http://www.nareti.com/host institution(s), forwarding applications for which they recommend travel awards. The hostinstitution determines final acceptance. Accepted students then work with international officestaff and NARETI faculty at the host institution regarding travel logistics, curriculum options,and specific research/internship opportunities.Program assessment: An evaluation plan and specific assessment tools were identified so as toassess the program objectives (Table 2). These assessment tools include: (1) a healthcareawareness survey, (2) two case study reports, (3) a global
, 2009.10. J. Wang, H. Abid, S. Lee, L. Shu, and F. Xia, “A Secured Health Care Application Architecture for Cyber- Physical Systems.” Control Engineering and Applied Informatics, Vol.13, No.3, pp. 101-108, 201111. N. Falliere, L. O. Murchu, and E. Chien, “W32 . Stuxnet Dossier version 1.4,” [Online] http://www.symantec.com/content/en/us/enterprise/media/security_response/whitepapers/w32_stuxnet_doss ier.pdf, 2011.12. N. Adam, "Workshop on Future Directions in Cyber-Physical Systems Security ", in Report on Workshop on Future Directions in Cyber-Physical Systems Security, January, 2010.13. M.J. Peterson, “Bhopal Plant Disaster – Situation Summary,” Science, Technology & Society Initiative, University of
, plasticsengineering, mechanical engineering, and/or civil engineering.13,14 Examples of SL projects inthese core courses are provided in Table 1. More commonly, SL projects are integrated intoprojects-based or design courses at levels ranging from first-year to capstone design to graduate.New elective courses specific to service projects focused around sustainability, global issues,and/or appropriate technology have also been developed.Table 1. Examples of LTS CoursesCourse SL Component Reference(s)Statics and Dynamics, Lewis-Clark Wheelchair ramp design/build 23State CollegeHeat Transfer, Mechanical installed heat saving devices at windows 15
) Grant No. 1037808Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation. Page 23.1166.2AbstractPublished research has provided a robust set of documented tools and techniques fortransforming individual engineering courses in ways that use evidence-based instructionalpractices. Many engineering faculty are already aware of these practices and would like to use 2them. However, they still face significant implementation barriers. The E R2P effort
Analogy: A View from Case-Based Reasoning," AmericanPsychologist, vol. 52, no. 1, pp. 1-10, 1997.[3] J. Dannenhoffer and J. Dannenhoffer, "Development of an on-line system to help students successfullysolve statics problems," in American Society for Engineering Education Annual Conference andExposition, Austin, TX, June 14-17, 2009.[4] M. DeVore, Statics Tutor, New Jersey: Prentice-Hall, 2000.[5] J. Iano, Shaping Structures: Statics, New York: John Wiley & Sons, 1998.[6] ISDC, "BEST Statics," [Online]. Available: http://web.mst.edu/~bestmech/preview_statics.html.[7] E. Anderson, R. Taraban and S. Roberstson, "M-Model: A Mental Model based Online HomeworkTool," Journal of Online Engineering Education, vol. 1, no. 2, 2010.[8] J. Lux and B
the use of information visualization tools to provide new methods of learning. Their interest is the develop- ment of teaching applications based on emerging technologies as well as motivation and usability studies focusing his work on developing computer applications.Mrs. Cristina Roca, University of Las Plamas de Gran Canaria Page 23.1253.1 c American Society for Engineering Education, 2013 Tools, methodologies and motivation to improve spatial skill on engineering studentsIntroductionFerguson1 in “Engineering and the Mind´s Eye” points out that an
/cademic.2. M. Higa’, D. Tawy, and S. Lord, “An introduction to labview exercise for an electronics class,” 32nd ASEE/IEEE Frontiers Education Conference Proceedings, Boston, Nov. 2002.3. A. Borisov and O. Borisova, “Automation of measurements of Semiconductor device parameters in Labview environment, member,” 6th International Siberian Workshop and Tutorial, 2005, July 1-5, Erlagol.4. I. lie, S. Hegy, and A. Gontean, “Labview implemented boundary–scan tester,” 34th Int. Spring Seminar on Electronics Technology, pp.282-286, 2011.5. R. Pecen, MD. Salim, and A. Zora, “A labview based instrumentation system For a wind- solar hybrid power station,” Journal of Industrial Technology, Vol. 20., Number 3, June
-Discussed everyday uses of HPC such as simulation to better simulate a real world computation time sensitive t s p erfo r m Stu den weather forecasting, and medical
droppedinto an already flowing air stream where it starts suspended, and remains that way. The resultsprove that the new design provides a more accurate way for K-Tron to compute saltationvelocity. As a result, the provided system will enable a more adequate analysis for K-Tronemployees to quote new systems for the customers in their field. Old Method New Method Material Material Flow Time Material Material Flow Time Weight Velocity (s) Weight Velocity (s) (lb/cu.ft) (ft/min) (lb/cu.ft) (ft/min) Plastic
need air to travel.” 5. Kraig: “Okay.” 6. S: “There’s no medium.” 7. Kraig: “There’s no medium. Good.”To get the students to engage with their classmates’ responses and thus spur conversation, whenthey had posted their answers to question six—“The commander could shine a flashlight at crewmembers and definitely get their attention. What does this tell you about the difference betweenlight waves and sound waves?”—Kraig asked them to pick an answer they agreed with or wassimilar to theirs and read it aloud. Unfortunately, little palpable discussion among the studentsresulted.Kraig attempted to enact the same lesson plan with his college-prep students, his third class thatday, but it, too, was interrupted, this time
centimeters. If the student had beendiscussing a journal article with a boss or colleague in the semiconductor industry, s/he would beperceived as a novice, not aware of or fluent in the discourse of the industry. This mistake wouldhave symbolized the student’s lack of experience, and possibly lack of credibility. The coachsubtly corrected the student and the student took up that correction, perhaps even subconsciously Page 23.1216.13adopting the discourse of the coach and thereby the semiconductor industry. Because the lack ofindustry-specific discourse often translates to the perception of a lack of legitimacy in thecommunity, this episode was
eighth grade, ANSEP student datacompared to national student data.*Nord, C., Roey, S., Perkins, R., Lyons, M., Lemanski, N., Brown, J., and Schuknecht, J. (2011). The Nation’sReport Card: America’s High School Graduates (NCES 2011-462). U.S. Department of Education, National Centerfor Education Statistics. Washington, DC: U.S. Government Printing Office.On the first day of the Middle School Academy, each student assembles a top-end computer andloads the operating system and Microsoft Office software. Students then use the computers onvarious tasks related to the daily classes they take for the remainder of the Academy. Studentsattend classes that include problem solving, research, and communication skills incorporatedwith biology, chemistry
University in 2008. While in the School of Engineering Education, he works as a Graduate Research Assistant in the X-Roads Research Group and has an interest in cross-disciplinary practice and engineering identity development.Dr. Robin Adams, Purdue University, West Lafayette Robin S. Adams is an Associate Professor in the School of Engineering Education at Purdue University. Her research is concentrated in three interconnecting areas: cross-disciplinary thinking, acting, and be- ing; design cognition and learning; and theories of change in linking engineering education research and practice. Page 23.89.1
teams.The program is structured with student-led divisions, each with 8-20 students, a faculty orindustry mentor, and a graduate teaching assistant (TA). Each division has one or more not-for-profit agency/ies (such as a museum, government service, charity, etc.) as a communitypartner(s). The students work with their community partner(s) to identify, develop, and deliverprojects that meet the community partner’s needs. Examples of such community needs includedesigning assistive technology for people with disabilities, developing database software forhuman services agencies, and developing engaging science-educational technology forelementary students. Additional projects can be seen athttps://engineering.purdue.edu/EPICS/Projects/Teams.Assessment
out how this case study and other existing research impacted recruitment policies forundergraduate and community college students. Also, interviewing community collegeprofessors, administrators, and program coordinators to determine the qualities for a successfulundergraduate or community college student in the summer experience would be beneficial.Bibliography1 Community College Fact Sheet. (American Association of Community of College, 2012).2 National Science Foundation. Science and Engineering Indicators. (National Science Board, National Science Foundation, Arlington, VA, 2008).3 Goldrick-Rab, S. Challenges and Opportunities for Improving Community College Student Success. Review of Educational Research 80, 437