Klaauw, A. Haughwout, M. Brown and J. Scally, "Measuring student debt and its performance.," FRB of New York Staff Report, (668), 2014.[2] Z. Bleemer, M. Brown, D. Lee and W. Van der Klaauw, "Debt, jobs, or housing: what's keeping millennials at home?," FRB of New York Staff Report, (700), New York, 2014.[3] I. E. Allen and J. Seaman, "Changing Course: Ten Years of Tracking Online Education in the United States.," Sloan Consortium, PO Box 1238, Newburyport, MA 01950, 2013.[4] M. T. Cole, D. J. Shelley and L. B. Swartz, "Online instruction, e-learning, and student satisfaction: A three year study.," The International Review of Research in Open and Distance Learning, vol. 15, no. 6, 2014.[5] C. Neuhauser, "Learning style and
what I was doing, I know how to do this, I have taking calculus before, I just got nervous and I ended up getting a B+ in that class, which is huge [G1].This student addressed that her level of competence prior to arriving to college was at a 4.0,signifying that her motivation was not to perform better, but rather to avoid under-performing.Prior research has also shown that that students who assume the mastery avoidance goal haveachieved success in the past, which clearly illustrated in this student’s narrative41. Uncertaintyfor this participant was a threatening factor towards her goal, as she stated, “you don't know whatthe future holds for you or the job, you don't know if you’re going to like . . . you
: Balanced designs for deeper learning in an online computer science course for middle school students. 2014, Stanford University.[6] Lahtinen, E., K. Ala-Mutka, and H.-M. Järvinen. A study of the difficulties of novice programmers. in ACM SIGCSE Bulletin. 2005. ACM.[7] Streveler, R.A., et al., Learning conceptual knowledge in the engineering sciences: Overview and future research directions. Journal of Engineering Education, 2008. 97(3): p. 279-294.[8] Barney, B., Introduction to parallel computing. Lawrence Livermore National Laboratory, 2010. 6(13): p. 10.[9] Nevison, C.H., Parallel Computing for Undergraduates. National Science Foundation and Colgate
phases.Future ImplicationsThis study shows results from a part for our research project. The instrument is being applied infive partner institutions to identify possible differences in perceptions in different types ofuniversities. We are aiming to identify relationships between the dimensions of culture and a)student choice of major, and b) student success within a major. In addition, we are conducting alongitudinal study to understand whether students’ perceptions about their academic programschange over time and under which circumstances, leading, to an actionable theory of engineering Page 26.369.12culture that can support pedagogies of inclusive
students appear in our dataset at a higher rate than their prevalence in theengineering population.Students served, parsed by academic major. Student demographics by major are shown in Table1, and it is clear that a few majors are over-represented in our dataset as compared to engineeringundergraduate population as a whole. We list the majors as Major A, B, C,… to protect theidentity of the faculty and staff within those majors. In particular, Major A students appear in ourdataset about 30% more than their prevalence in the overall population, and Major E students ata rate nearly double their representation in the overall population. It is not clear why Major Astudents would be over-represented in our dataset. However, Major E tends to attract
. Steif, P. S.; Dollar, R., Reinventing the teaching of statics. Int. J. Eng. Educ 2005, 21 (4), 723-729.4. Halupa, C. M.; Caldwell, B. W., A comparison of a traditional lecture-based and online supplemental videoand lecture-based approach in an engineering statics class. International Journal of Higher Education 2015, 4 (1),232-240.5. Stanley, R.; Lynch-Caris, T. In An innovative method to apply the flipped learning approach in engineeringcourses via web based tools, Proceedings of ASEE Gulf-Southwest Conference, Tulane University, New Orleans,Louisiana, Tulane University, New Orleans, Louisiana, 2014.6. Papadopoulos, C.; Roman, S. A. In Implementing an inverted classroom model in engineering statics:Initial results
role of emotion in student learning, and synergistic learning. A recent research project uncovers the narratives of exemplar engineering faculty that have successfully transitioned to student-centered teaching strategies. She co-designed the environmental engineering synthesis and design studios and the design spine for the mechanical engineering program at UGA. She is engaged in mentoring early career faculty at her univer- sity and within the PEER National Collaborative. In 2013 she was selected to be a National Academy of Engineering Frontiers of Engineering Education Faculty Member.Karen Sweeney Gerow, University of Georgia Karen Sweeney Gerow is pursuing her PhD in the Lamar Dodd School of Art at the University
engineering programslook toward providing international education opportunities for their students.1 A. T. Conley, A. M. Crispo and M. Vang, "Malta Final Report," Pavlis Institute for Global Technological Leadership, Houghton, 2014.2 J. Allan, H. Carlson, S. Peterson and B. Martinez, "Ghana 2014 Project Report," Pavlis Institute for Global Technological Leadership, Houghton, 2014.3 E. Wachlin, L. Dawson, L. Harris and A. Kubicki, "Go Ghana 2013: Project Report," 2013.4 J. Allan, et. al.5 J. Allan, et. al.6 The Guardian, "Is India still a developing country?," Guardian News and Media Limited, 6 April 2014. [Online]. Available:http://www.theguardian.com/global-development/poverty-matters/2014/apr/07/is-india-still-a- developing
Page 26.555.7racial/gender stereotypes and Social Cognitive Career Theory (SCCT) 6,7,8. SCCT, an offshoot ofAlbert Bandura’s social cognitive theory, attempts to address issues of culture, gender, geneticendowment, social context, and unexpected life events that may interact with and supersede theeffects of career-related choices. SCCT focuses on the connection of self-efficacy, outcomeexpectations, and personal goals that influence an individual’s career choice. SCCT proposes thatcareer choice is influenced by the beliefs the individual develops and refines from four majorsources: (a) personal performance accomplishments, (b) vicarious learning, (c) social persuasion,and (d) physiological states and reactions. How these aspects work together
discovery phase; as a result, more emphasis was placed on creating descriptive behaviors of acurious individual that related to the discovery phase. This framework was used as a techniquefor item creation, not to ever be used in the final instrument. As an example of this type ofbehavioral description for Curious, we find the following displayed in Table 1: “Asks questionsto get to the root of the problem.” This describes a behavior related to problem definition, a keytask early on in the innovation process, specific to the discovery phase. The purpose of thesematrices was to provide the research team with a more structured approach for item creation; anexample of the full behavior matrix for Curious is shown in Appendix B. After compilingmatrices
absence versus critical engagement : problematics of the crit in design learning and teaching. Art, Des. Commun. High. Educ. 2, 143–154 (2000).5. Horton, I. The Relationship between Creativity and the Group Crit in Art and Design Education The Relationship between Creativity and the Group Crit in Art and Design Education. Creat. or Conform. Build. Cult. Creat. High. Educ. (2007).6. Blair, B., Blythman, M. & Orr, S. “Critiquing the Critique”: A 2 year ADM-HEA funded project. (2008). at Page 26.1707.11 7. Using Peer Review to Help Students Improve Their Writing. The Teaching Center, University of
, the laboratory exercises are arranged as a sequence of small homeworkassignments and laboratory exercises with the schedule shown in Table 1. The IL and STlanguages are used for the exercises until the conveyor belt station. Figure 1: Uni-trainer (a) and Conveyor Belt Station (b) for PLC ProgrammingDuring the teaching process, in addition to provide students the basic concepts about PLCprogramming, such as the programming structure, logic operations, basis concepts as normallyopen/closed circuit and set/reset dominance latches for storing elements, switch on/off delaytimers, up/down counters, we focus on enhancing students' problem solving capability throughthe kinesthetic learning style. For example, after we teach students the function
components, subsystems, and 4. Apply programming concepts and application simulate, design and improve electrical systems. a. a. an ability to select and apply the knowledge, X X X X techniques, skills, and modern tools of the discipline b. an ability to broadly-defined
. Page 26.1658.12ReferencesAnthony, S., Johnson, M. W., Sinfield, J., & Altman, E. (2008). The innovator’s guide to growth: Putting disruptive innovation to work. Boston, MA: Harvard Business Review Press.Bilen, S. G., Kisenwether, E., Rzasa, S. E., & Wise, J. C. (2005). Developing and assessing students’ entrepreneurial skills and mind-set. Journal of Engineering Education, 94(2), 233–243.Blank, S., & Dorf, B. (2012). The startup owner’s manual: The step-by-step guide for building a great company. Pescadero, CA: K & S Ranch.Christensen, C. (1997). The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business Review Press.Duval-Couetil, N., Gotch, C. M., & Yi, S. (2014). The
. Page 26.810.5The overall look of the 3D environment is patterned after the movie ‘Tron,’ the goal reflects thestyle of the light column in ‘Wreck-it Ralph,’ and a playful music track courses throughout thegame.In Class Use of the GameDuring the fall 2013 semester, Professor Pfotenhauer taught one of the three 60-student-largeundergraduate thermodynamics sections at the University of Wisconsin - Madison. As acollaborative effort of the Professors involved, the three sections followed the same syllabus,including homework and exam assessments. In keeping with many introductory courses onengineering thermodynamics, the first two weeks present information to the students regarding a)closed and open systems, b) the first law energy balance relating
its global vision. Overall, the SJSU GTI* program has been very successful and hasmet the objectives set for it. Embedding continuous assessment and improvement into thisprogram has allowed us to adapt to changes and provide the participants with an intensive globalexperience.Bibliography 1 Wei, B. W. Y. & Tsao, J., “Studying Offshoring through a Study-Tour of Taiwan and China,” Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition, June 2005, Portland, Oregon.2 Wei, B. W. Y. & Tsao, J., “Global Technology Initiative Study-Tour to Asia at San Jose State University
. Criteria for Accrediting Engineering Programs: Effective for Reviews during the 2013-2014 Accreditation Cycle. Baltimore, MD: ABET; 2012.19. Wisnioski M. H. “Liberal Education Has Failed”: Reading Like an Engineer in 1960s America. Technol Cult. 2009;50(4):753–782. doi:10.1353/tech.0.0346.20. Leydens J. A. Sociotechnical Communication in Engineering: An Exploration and Unveiling of Common Myths. Eng. Stud. 2012;4(1):1–9. doi:10.1080/19378629.2012.662851.21. Traver C., Klein J. D., Mikic B., et al. Fostering Innovation and Entrepreneurship through the Integration of Engineering and Liberal Education. Presented at the ASEE Annual Conference & Exposition, Vancouver, BC, Canada: American Society for Engineering Education; 2011.22
., Legislative Law and Process in a Nutshell. 2nd ed. St. Paul, MN: West Publishing, 1986.Filson, L., The Legislative Drafter's Desk Reference. Congressional Quarterly, Inc., Washington, D.C. 1992.Gross, B. The Legislative Struggle. New York, NY: McGraw-Hill, 1953.Overview of Systems Engineering: http://www.sie.arizona.edu/sysengr/whatis/whatis.html.Juran, J., Juran on Planning for Quality. New York, NY: The Free Press, 1988.Crosby, P., Quality is Free. McGraw-Hill. New York. 1979.Schrunk, D., The Quality Approach to the Science of Laws. Presented at 16th Annual International Deming Research Seminar, New York, February, 2010.Quality of Laws web site: www.qualityoflaws.com.Onishi, A., Futures of global interdependence (FUGI) global modeling system
Sciences, 5(2), 129-166. 4. Yeshno, T., & Ben-Ari, M. (2001). Salvation for bricoleurs. In Proceedings of the Thirteenth Annual Workshop of the Psychology of Programming Interest Group, Bournemouth, UK (pp. 225-235). 5. Law, L. C. (1998). A situated cognition view about the effects of planning and authorship on computer program debugging. Behaviour & Information Technology, 17(6), 325-337. 6. Hawkins, D. (1965). Messing about in science. InThe ESS Reader (pp. 37–44). Newton, MA: Elementary Science Study. 7. Jordan, B., & Henderson, A. (1995). Interaction analysis: Foundations and practice. Journal of the Learning Sciences, 4(1), 39-103. 8. Dorst, K., & Cross, N. (2001). Creativity in
Figure 13(a) - Riemann sum Figure 13(b) - Riemann sum valuesThe exact value of the integrals can be obtained by the query integral of f(x) = x^2 on [0, 5]. 4. Wolfram Demonstrations projects and Problem GeneratorWolfram site has a large number of publicly available demonstration projects on variety oftopics in math and science. In these projectsthe essential parameters in the problems can bechanged while the system recalculates andupdates the graph. This clearly help studentssee the impact of individual parameter changeson the solution. Figure 14 shows a snapshot ofthe project2. The project allow students tochange the degree of a polynomial, pick thevalue of zeros from a preset range and observethe graph of the polynomial
(ROBOTIK).[8] Manseur, R. (2005), Virtual reality in science and engineering education. Paper presented at the Frontiers in Education, 2005. FIE'05. Proceedings 35th Annual Conference.[9] Arshad, H., Jamal, J., Sahran, S. (2010), Teaching robot kinematic in a virtual environment. Paper presented at the Proceedings of the world congress on engineering and computer science.[10] Candelas H., Francisco, A., Jara B., Carlos A., Torres Medina, F. (2006), Flexible virtual and remote laboratory for teaching Robotics, Retrieved on March 6, 2015 from: http://hdl.handle.net/10045/2906[11] Moore, P. R., Pu, J., Ng, H.C., Wong, C.B., Chong, S.K., Chen, X., Lundgren, J.O. (2003). Virtual engineering: an integrated approach to
Paper ID #13217SUSTAIN SLO: Reenergizing LearningDr. Lizabeth T Schlemer, California Polytechnic State University Lizabeth is a professor at Cal Poly, SLO in Industrial and Manufacturing Engineering. She has been teaching for 22 years and has continued to develop innovative pedagogy such as project based, flipped classroom and competency grading. Through the SUSTAIN SLO learning initiative she and her colleagues have been active researching in transformation in higher education.Kylie Hensley, SUSTAIN SLO Kylie graduated from Cal Poly SLO with a B.S. Environmental Engineering in 2012 and now works with SUSTAIN SLO, a
grade. It was a “B”. “What happened?”, heFAs are expected to participate in the evaluation of all asked. “Let’s look.”, I replied. We reviewedteams presenting at the time the FA’s team presents. his individual scores and all were good except the team evals. The team did not Team Member Evaluation consider him a good team player and that Page 26.323.14Twice during the semester the FA
Analysis.Journal of Engineering Education, 94(4), 363-371.3. Goodridge, W. H., Villanueva, I., Call, B. J., Valladares, M. M., Wan, N., and Green C. (2014, 22-25 Oct. 2014).Cognitive strategies and misconceptions in introductory Statics problems. In 2014 IEEE Frontiers in EducationConference (FIE) Proceedings, 2152-2159.4. Litzinger, T. A., Lattuca, L. R., Hadgraft, R. G., & Newstetter, W. C. (2011). Engineering Education and theDevelopment of Expertise. Journal of Engineering Education, 100(1), 123-150.5. Case, J. M., & Light, G. (2011). Emerging Methodologies in Engineering Education Research. Journal ofEngineering Education, 100(1), 186-210.6. Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches (Third
experiences support science career decisions and active learning.” CBE Life Sciences Education 6: 297-306.3. Russell, S. H., M.P. Hancock, and J. McCullough. (2007 ). “The pipeline. Benefits of undergraduate research experiences.” Science 316(5824): 548-9.4. Kinkel, D. H. and S. E. Henke. (2006). “Impact of undergraduate research on academic performance, educational planning, and career development.” Journal of Natural Resources and Life Sciences Education 35: 194-201.5. Lanza, J. and G. C. Smith. (1988). Undergraduate research: A little experience goes a long way. J. Coll. Sci Teach. 18:118-1206. Hunter, A-B., S. L. Laursen, and E. Seymour. (2007). “Becoming a scientist: The role of undergraduate research in students
Figure 1. Survey participant’s choices based on factors. 7References[1] Creswell, J. W. (2004). Educational research planning, conducting, and evaluating quantitative and qualitative research (2nd ed.). Columbus, Ohio: Merrill Prentice Hall.[2] Karel, B. (2010). Introducing The MDM Market’s Newest 800lb Gorilla: Informatica Acquires Siperian! . Retrieved from http://blogs.forrester.com/business_process/2010/01/introducing-the-mdm- markets-newest-800lb-gorilla-informatica-acquires-siperian.html.[3] Madhukar, N. (2009, June 24). Federated MDM data domains - A Perspective. Retrieved from http://www.infosysblogs.com/customer
focuses on the expectation of how one will perform on atask and how much one values a task or its outcomes.10 EVT posits that three maincriteria must be met for motivated action: a) With enough effort, the performancecan be achieved; b) If achieved, performance will lead to desired outcomes; and c)Those outcomes will lead to satisfaction.10 EVT research has shown thatengineering students with higher expectations will have better academic performance,and those who see higher value for a task will persist longer on that task.5 EVT hasbeen developed to examine students’ motivations toward long-term goals at a degree orcourse level.10For this work, EVT was operationalized to assess expectancy, or how studentsexpected to do in an introductory
Anniversary” Paper 2008-1639. 2008 ASEE Annual Conference and Exposition Proceedings, ASEE, Pittsburgh, June 22-25, 2008. 7. Seymour, E. and N. Hewett, Talking About Leaving: Why Undergraduates Leave the Sciences, Westview Press, Boulder, Colorado, 1997. 8. Ohland, M.W., S.D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra and R.A. Layton, “Persistence, Engagement, and Migration in Engineering Programs,” Journal of Engineering Education, 97 (3), pp. 259- 278, 2008. 9. Marra, R.M., K. A. Rodgers, D. Shen, and B. Bogue, “Leaving Engineering: A Multi-Year Single Institution Study,” Journal of Engineering Education, 101 (1), pp. 6-27, 2012. 10. Lowman, J., Mastering the Techniques of Teaching, Jossey-Bass Publishers
, and defend a model home that demonstrates their idea of sustainablewater reuse. Working within a set budget, teams will construct a water reuse system for a modelhome, then reuse a set amount of water as many times as possible within their budget to see whatmodel house does the best.Workshop Description. Please provide a detailed description of the proposed workshop that, atminimum, explicitly addresses the following (maximum 4,000 characters): a. Learning objectives b. Hands-on activities and interactive exercises c. Materials that participants can take with them d. Practical application for teachers and outreach staff
).Figure 4(a) shows that all of the five largest disciplines had a lower female fraction in2013 than in 2005 as shown in Table 3. Table 3 Change in female fraction by engineering BS discipline 2005 to 2013 (ASEE, 2014)ChE and BME are well known for having strong gender diversity, but it is apparent thatstrong growth in degrees overall is being accomplished by faster growth in male degreerecipients than for female degree recipients. Figure 4(b) shows that the female fractionfor African American engineering BS degrees declined substantially for ECE, CEE, ChEand BME across the past decade. Detail in BS degree changes are described in separatesections showing the changes in BS