by Sheila Tobias3 and Richard Felder4 in the 1990’s are “second tier” engineeringstudents. Tobias3 defines first tier engineering students as those who have intentions and abilityto earn science degrees and do so. Second tier are students who have the initial intention andability but instead switch to nonscientific fields. For many engineering students who start atcommunity colleges or are a “second tier” student, the calculus math sequence is a key factor intheir decision to complete an engineering degree and then their time to graduation. This is due inpart to the math prerequisites required for engineering and physics courses. To finish anengineering degree in four years, a student needs to start in calculus 1 in the fall of the first
italics were from a previous year. Students were provided the same detailedinformation in the syllabus about the desktop module as in Year 1, but were told that last year’sstudents already completed that. The Year 2 students were told that they were to modify thoseprojects to fix short-comings indicated in the assessments from Year 1. Relevant project reportswere handed over (with grades redacted), which gave the new student teams a place to start. Theywere also given the name of the team leader from the previous year(s) to use as areference/resource.In an effort to help mitigate students back-loading the work on the project to the end of thesemester, teams were required to hand in a weekly memo, which updated the instructor on theprogress on
to examine impact andeffectiveness will be needed. REFERENCES1. Schneider, C.G. and D. Humphreys, Putting Liberal Education on the Radar Screen. Chronicle of Higher Education, 2005. 52(5): p. B20-B20.2. Alexander, L. (2010) A federal Impediment to quicker degrees. Inside Higher Ed.3. Nationl Center for Education Statistics, Persistence and Attainment of 2003-04 Beginning Postsecondary Students: After 6 Years, T. Hunt-White, Editor. 2010, U S Department of Education: Washington, DC.4. Brainard, J. and A. Fuller, Graduation Rates Fall at One-third of 4-Year Colleges, in The Chronicle of Higher Education. 2010: Washington, DC.5. Atman, C.J., et al., Enabling
Frameworks”, Journal of Engineering Education, October 1996, pp. 318-326.9. Nair, I., Jones S. and White, J., “A Curriculum to Enhance Environmental Literacy”, Journal of Engineering Education, January 2002, pp. 57-67.10. Prietula M.J. and Simon, H.A., “The Experts in Your Midst”, Harvard Business Review, January-February 1989, pp. 120-124.11. Dyer, J.H., Gregersen, H.B. and Christensen, C.M., “The Innovators DNA”, Harvard Business Review, December 2009, pp. 61-67.12. Senge, P.M., The Fifth Discipline: The Art and Practice of the Learning Organization, Currency Doubleday, 1990, p.813. Gentner D. and Stevens A.L. (eds.), Mental Models, Lawrence Erlbaum, 198314. Johnson-Laird, P. N., Mental Models: Toward a Cognitive Science of Language
’s, Drexel2 pioneered a highly integratedcurriculum which incorporated chemistry into larger modules with math and engineering content.The time devoted to chemistry in such models was often less than in traditional curricula. Asmany other demands were made to add content, some programs attempted to reduce thechemistry credits by creating “chemistry for engineers” courses. Some examples include coursesfor specific majors 3,4 while others are application-oriented, such as having a focus on materials5.In most studies of the role of chemistry in engineering education, the emphasis is on thechemistry content.In discussing curricular issues with other faculty it has become clear that faculty in mostengineering areas view chemistry from a content
; for dichotomous variables, Cohen‟s kappa was used. Combining these analogousmeasures, the overall mean test–retest reliability of the survey was 0.7 (1 indicating perfectagreement for both coefficients). According to Thorndike (1997), in an analysis of groups of100 participants, a reliability coefficient of 0.5 corresponds to a 0.04% likelihood of a reversal inthe direction of an effect.30 Similarly, in this study, 0.7 is evidence of highly reliable databecause of the sample size; although the responses of any given individual may vary, overalltrends found in large groups tend to be quite stable.30 Thus, the stability of our instrument wasmore than acceptable.The accuracy of the instrument was established using multiple methods. First, face
improve space utilization and reduce instructional cost withoutadverse impact to the quality of education.The authors plan to apply this approach to an advanced Linux course in spring 2013 and expandthe approach to an AC circuits course in fall 2013.References[1] “Proxmox - Proxmox VE.” [Online]. Available: http://www.proxmox.com/products/proxmox-ve. [Accessed: 28- Mar-2013].[2] L. Burton, S. Pope, I. Kareeb, C. Rhodes, R. Cobb,Jr., T. Graham, L.-S. Tsay, and C. Seay, “A College-Industry Partnership for Enterprise Computing,” Proceedings of the ASEE Annual Conference, San Antonio, Texas, Jun. 2012.[3] R. Cobb,Jr., C. Rhodes, L. Burton, and J. Jones, “The Implications of Collaborative Instructional Environments on Teaching and
. [9] Braun, V. and V. Clarke, Using thematic analysis in psychology. Qualitative Research in Psychology, 2006. 3: p. 77-‐101. [10] Glaser, B., The constant comparative method of qualitative analysis. Social Problems, 1965. 12(4): p. 436-‐445. [11] Miles, M.B. and A.M. Huberman, Qualitative Data Analysis. 2nd ed1994, Thousand Oaks: Sage. [12] Denzin, N.K. and Y.S. Lincoln, Strategies of qualitative inquiry2003, Thousand Oaks, CA: Sage Publications. [13] Brown, S. and D. Lewis. Student Understanding of Normal and Shear Stress and Deformations in axially loaded members. in ASEE Annual
Arabia. He received his MS in Civil Engineering from KFUPM and also has earned an MPBL degree from Aalborg University, Denmark.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 23.1171.1 c American Society for Engineering Education, 2013 The
STEM Majors of College Students At-Risk of Dropping Out Early,” p. 10, doi: 10.1145/3170358.3170410.[5] C. Blanco et al., “Mental health of college students and their non-college-attending peers: Results from the national epidemiologic study on alcohol and related conditions,” Archives of General Psychiatry, vol. 65, no. 12, pp. 1429–1437, Dec. 2008, doi: 10.1001/archpsyc.65.12.1429.[6] W. S. Slutske, “Alcohol use disorders among US college students and their non-college-attending peers,” Archives of General Psychiatry, vol. 62, no. 3, pp. 321–327, Mar. 2005, doi: 10.1001/archpsyc.62.3.321.[7] L. Seamster and R. Charron-Chénier, “Predatory inclusion and education debt
engineering. Paper presented at the 6th International Conference CDIO, Montreal, Canada.[15]. Harden, R. (2002). Developments in outcomes-based education. Medical teacher, 24(2), 117–120.[16]. Harden, R. (2007). Outcomes-based Education: The future is today. Medical teacher, 29(7), 625–629[17]. Gardiner L. F. (2002). Assessment essentials: Planning, implementing, and improving assessment in higher education (review). J. Higher Education, 73(2), 302–305.[18]. Dew, S. K., Lavoie, M., & Snelgrove, A. (2011, June). An engineering accreditation
. 2016:15.25. Curran P, West S, Finch J. The Robustness of Test Statistics to Nonnormality and Specificiation Error in Confirmatory Factor Analysis. Phsycological Methods. 1996;1(1):16-29.26. Cho E, Kim S. Cronbach’s Coefficient Alpha: Well Known but Poorly Understood. Organ Res Methods. 2015;18(2):207-230. doi:10.1177/1094428114555994.27. Fraley C, Raftery a E. How Many Clusters? Which Clustering Method? Answers Via Model- Based Cluster Analysis. Comput J. 1998;41(8):578-588. doi:10.1093/comjnl/41.8.578.28. Flynn PJ. Data Clustering : A Review. 2000;31(3).29. Burtner J. The Use of Discriminant Analysis to Investigate the Influence of Non-Cognitive Factors on Engineering School Persistence. J Eng Educ. 2005;94:335
defense to the findings of this study, attention is drawn to thedefinition of shame here operated within. The term “perceived” is essential in depicting the truenature of shame. Expectations are interpreted by the individual. Nicole recognized multiple timesthat her perception of expectations may not be absolutely identical to reality. However, despitelogical recognition of reality, her emotional experiences still operate within forms ofexpectations that are interpretations determined by the self.AcknowledgementsThis work was supported through funding by the National Science Foundation (NSF EEC1752897). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do
), quantity (number of ideas generated), and quality (feasibility of anidea and the degree to which it meets the design specifications), noting that “an engineeringdesign must not only be novel (unusual, unexpected) but it must also satisfy some intendedfunction(s) to desired specifications (have desired utility)” (p. 111). Creativity in engineering isalso discussed as “functional creativity” by Cropley & Cropley (2005) who also highlight thatengineering products typically need to serve a useful function.Challenges to Teaching CreativityCreativity in engineering has been identified as an essential skill, yet there are few engineeringprograms that offer courses that teach creativity (Charyton & Merrill, 2009). While there may beseveral
establish a clear purpose for mixing,with Kajfez and Creamer calling upon the engineering education community to clearly explainhow mixing aligns with the research question(s) [18].Heeding these calls from literature, our mixed methods study uses a fully-integrated approach toexamine the complex experiences of students in a global engineering program. By using anunderexplored mixed methods approach to data analysis, we respond to Bryman’s request thatthe community more broadly incorporate mixing strategies in data analysis [19]. We also followKajfez and Creamer’s suggestions by making explicit our purpose for mixing, emphasizing thealignment between this mixed methods approach and our research questions [18].BackgroundThe Rising Sophomore Abroad
things.Methodological overview The methodological approach for this project came about via both theoretical (literature)and practical considerations. While the cultural construction literature tends to emphasize theoryand analysis, we tried to assemble a robust and consistent methodological approach to investigatecultural construction in a particular setting. In McDermott’s early writing at the time of his datacollection (1970’s) he aligned himself methodologically with three primary traditions:ethnography, ethnomethodology, and discourse/interaction analysis17,18,19. As an investigation ofculture, the work relies on ethnographic methods and approaches, such as the incorporation ofmultiple qualitative data streams, ethnographic field noting20, and one
Depoliticization Hinder Engineers’ Ability to Think About Social Injustices. In Engineering Education for Social Justice: Critical Explorations and Opportunities, (J. Lucena, Ed.) 67–84. New York: Springer.3. Case, J. M., & Light, G. (2011). Emerging research methodologies in engineering education research. Journal of Engineering Education, 100(1), 186-210.4. Bucciarelli., L. (1996). Designing engineers. Cambridge, MA: MIT Press.5. Dryburgh, H. (1999). Work hard, play hard: Women and professionalization in engineering—adapting to the culture. Gender & Society, 13, 664-682.6. Hacker, S. (1989). Pleasure, power and technology: Some tales of gender, engineering, and the cooperative workplace. Winchester, MA: Unwin
Research, 16, 235-239.Atman, C., Adams, R., Cardella, M., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison of students and expert practitioners, Journal of Engineering Education 96(4), 359-379.Atman, C. J., & Bursic, K. M. (1998). Verbal protocol analysis as a method to document engineering student design process. Journal of Engineering Education, 87(2), 121-132.Ball, L. J., Ormerod, T. C., & Morley, N. J. (2004). Spontaneous analogizing in engineering design: A comparative analysis of experts and novices. Design Studies, 25(5), 495-508.Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28, 117-148
the academic option that is kind of get really into my research lab, get publications in, go down the PhD track and having to deal with that like, going and teaching and kind of build my own research lab or to be one of the four P.I.'s of a research lab. Another option is after, on a graduate level, probably I join a small business just because I know that's more my working style. Working on something interesting that I can contribute to. Probably start somewhere and move somewhere else just knowing how industry kind of works a little bit. You're not usually set in stone at one place but as I go through and figure out who I work really well with and then branch off, kind
engineering for at least three years after graduating with a bachelor’s degree. Motivation (Financial) Motivation to study engineering due to the belief that engineering will provide a financially rewarding career. Motivation (Family Influence) Motivation to study engineering due to family influences. Motivation (Belief that Engineers Motivation to study engineering due to the belief that engineers improve Improve Social Welfare) the welfare of society. Motivation (Mentor Influence in Motivation to study engineering due to the influence of mentor(s) while in College) college. Confidence in Engineering
statistically significant differences: Project work had stronger positive impacts onengineering majors when compared to non-engineering majors and on alumni who completedoff-campus projects when compared those who completed on-campus projects. Kruskal-Wallistests identified areas where impact either changed or remained stable over time. Findings providea unique perspective on the long-term impacts of project-based learning.IntroductionThis paper provides an overview of an evaluation study of the impact of formal project work forstudents who graduated from Worcester Polytechnic Institute (WPI) in science and engineeringmajors between 1974 and 2011. WPI has featured a project-based curriculum since the early1970’s. While there have been many studies of
depictingdisciplinary diversity in that they belong to broad disciplinary areas (in addition to engineering)such as: Languages and Communication, Anthropology, Education, Teaching and Learning etc. Page 25.864.17Table 9Top Authors of Single-authored Papers Author names Discipline Single-authored article count Cismas, SC Modern Languages and Communication 9 UDD, JE Mineral and Energy Technology 9 Ghosh, S Computer Science 7 Kitto, KL
- teamwork 3e - problem solving, and 3g - professional writing (we emphasized a memo format), and communication (particularly if there were teamwork issues). B. Student GrowthTo investigate individual’s growth over time, we looked at twelve students who completed at Page 15.499.8least four MEA reflections. Table 1 provides a summary of each student and his or hergeneralized responses in terms of the following: the process (es) that the team used, theindividual role(s) assumed in the team, a perception of the main targeted engineering conceptslearned, the professional skills he or she felt were used, and a characterization of the response
organization level identitydevelopment in STEM.AcknowledgmentsThe authors gratefully acknowledge the foundational support provided by the William and FloraHewlett Foundation’s Engineering Schools of the West Initiative. This material is also based uponwork supported by the National Science Foundation under Grant Nos. DUE-0856815 (IdahoSTEP), DUE-0963659 (I^3), and DUE-1347830 (WIDER). Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation. Finally, the leadership andadministrative support provided by Boise State University Provost Martin Schimpf, formerProvost Sona Andrews (now Provost, Portland State University), Vice
theoretically informed development is demonstrated.Below, I describe the theoretical framework and object of study (§ 2), the methodology forevaluating the learning process (§ 3), learning results and an analysis of students’ activities (§ 4)in conceptual and non-conceptual labs. Finally in section 5, a short discussion, conclusion andimplications of the results are presented.2. Theoretical framework and object of study2.1 Variation theoryAs described briefly in the introduction, most students do not change their conceptions ofmechanics concepts, i.e. they do not change their ways of seeing the world using force andmotion concepts from a naive to Newtonian understanding, even after one or more universitylevel course(s) in mechanics. Hence, teaching and