Paper ID #30371 Carlos Santos is a first year graduate student at the Wake Forest University Department of Psychology. His research includes longitudinal measurement validity and developing personalized user-interface data tools.Dr. Michael D. Gross, Wake Forest University Dr. Michael Gross is a Founding Faculty and Associate Professor of Engineering at Wake Forest Uni- versity and is part of the team that is planning, developing, and delivering the brand new Engineering program. The Engineering department is viewed as an opportunity to break down silos across campus and creatively think about reimagining the undergraduate engineering educational experience, integra- tion and collaboration across departments and
direct instruction to be more effectivethan learner-centered practices4. With this in mind, new faculty in particular should be concerned Page 26.1727.2about these student perceptions and preferences – they will drive important factors such asmotivation and willingness to work hard for an unknown professor5,6.One of the first (and daunting) tasks of a new educator is the planning of a course. It is temptingto sit down and create one’s syllabus in a linear manner, only considering the content at hand andthe calendar of the term. However, to have a truly successful course, the educator shouldapproach this task as a design task – one is designing
Page 13.871.16originally used to model population development in a fixed (limited) environment. In dictionary, the word “logistic” isthe adjective of the word “logistics” meaning “detailed planning and organization of a large, especially military,operation”.(ii) Consider dx/dt = ax − x3. For any value of a the origin is an equilibrium point. Itseigenvalue is equal to a, so it is stable for a < 0 and unstable for a > 0. For a > 0 there aretwo equilibrium points at ±√a. Both these equilibrium points have eigenvalue −2a so theequilibrium points are stable. A bifurcation occurs at a = 0 since at this value, theequilibrium point at the origin changes its stability type and two new equilibrium pointsare created. Hence it is called a
conveniencesampling based on the data analysis available from another study. Of the 5 returning GTAs, 3were familiar with the Paper Plan Challenge MEA from its Fall 2006 implementation in which adifferent rubric was applied5. One of these three returning GTAs also had experience with thisMEA from the Spring 2008 implementation in which a rubric similar to the MEA Rubric wasused.An Expert independently assessed Fall 2008 student team MEA solutions. The Expert was adoctoral student in Engineering Education with 7 years of teaching experience in the first-yearengineering program and 4 years of experience with research on MEAs, including thedevelopment of the MEA Rubric.C. Data Collection & AnalysisMEAs are conducted via a web-based interface connected to a
conducted in every course in every semester.These are considereda “quick and dirty” monitoring system, but do allow a fast response where difficulties orweaknesses are identified. The results from these surveys are not used for staff promotionpurposes, and evaluative instruments are tailored by the Centre for Academic Developmentwhere a staff member wishes to seek feedback of a personal nature or to evaluate a specificinitiative in teaching or assessment. The School of Engineering also complies with theUniversity-wide three-year rolling plan of course evaluation. There is a perception thatcourses are comprehensively evaluated, and in fact there is some talk of “survey overload”.ChallengesOver the period of thirteen years that this program has run
feasibility of their design ideas [73]. Others present interpreted vignettes ofclassroom activity and detail methods such as interaction analysis [74] or ethnography [75]. Forinstance, in such research conducted in an elementary school, we see how students are able toidentify and frame engineering problems in their own school that affect the students, and alsothat even young students can make predictions and plan testing of their prototypes when they aredesigning with contexts they understand in mind [76]. And in research conducted using a gamein which girls role-played as mechanical engineers, the girls developed engineering skills andknowledge, and these were particularly supported by having a client and reflecting on progress ina notebook [10
College.On the faculty side during this same period, additional damaging biases were revealed wheninstructors would mention in passing that they had a certain number of GS students enrolled intheir courses. When questioned further, these instructors would explain that they assumedstudents of certain ethnicities were part of the GS program, simply based on their physicalappearance instead of any actual knowledge of their affiliation with the program.The Dean of the College, in his strategic plan, said he intended to grow the program in an effortto increase the representation of diverse students. When an effort to gain more beds in the sharedresidence hall failed, the program leadership decided to move the program to a differentresidence hall. The
Education, 99(3), 263-278.18. Webster, L., & Mertova, P. (2007). Using narrative inquiry as a research method: An introduction to using critical event narrative analysis in research on learning and teaching. New York, NY: Routledge.19. Bieber, J. P. & Worley, L. K (2006). Conceptualizing the academic life: Graduate students' perspectives. The Journal of Higher Education, 77(6), 1009-103520. Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluation quantitative and qualitative research. (4th Ed.). Boston: Pearson.21. Geertz, C. (1973). Thick description: Toward an interpretive theory of culture. In C. Geertz, The interpretation of cultures: Selected essays (pp. 3–30). New York: Basic
preventsome student teams from going down the wrong track entirely and missing some of the primaryconcepts of the lab. A more formal method of communicating team experimental plans (eithervia a short written description or an in-person meeting with the instructors) could go a long wayto ameliorating these issues in future versions of the course.Conclusions and Future WorkThe revision of a unit operations laboratory course to be more open-ended and focus on technicalcommunication resulted in many positive outcomes: increased student self-efficacy in the areasof communication skills and design, achievement of course learning objectives, and increased in-lab student engagement. With regards to self-efficacy improvements, there was no perceivedeffect of
will enjoy the challenge of working with difficult technical issues in the context of advanced technology. The results of our study, particularly the relatively small proportion of time devoted to solitary technical work, have helped to explain some of the frustrations I have so frequently encountered among engineers. Many felt frustrated because they did not think that their jobs provided them with enough technical challenges. Others felt frustrated because they thought that a different career choice might have led to a job that would enable them to make more use of the advanced technical subjects they had studied in their university courses. Many of them were actually planning to leave their
disengage in certain circumstances. Although it identifies eight dimensions of moral disengagement (moral justification, euphemistic labeling, advantageous comparison, displacement of responsibility, diffusion of responsibility, distortion of consequences, attribution of blame, and dehumanization), the scale is most correctly used as a measure of the single higher order concept of moral disengagement. • Experiences (17 items): Students were asked about their participation within the last two years and their plans to participate in the future in seventeen types of experiences: 1. Volunteer regularly (1+ time per month for 6 months longer) 2. Mission or volunteering trip (any location) 3. Work or internship in a non-profit
, and responding to students’ ideas in ways that help students build on their priorknowledge (Richards & Robertson, 2016; Sherin, Jacobs, & Philipp, 2011). As Ball & Cohen(2013, p. 16) put it, “Examining student thinking is a core activity of [teachers’] practice.” Inorder to help teachers develop their responsiveness, teacher educators and teacher professionallearning communities typically rely on artifacts of classroom practice (i.e. examples of studentwork, video or audio recordings of classroom events, or field notes on classroom events) toanalyze pedagogical moves/approaches, to investigate the possible consequences of theirpedagogical approach for students’ learning, and to consider intentions and plans for futurepedagogical
on the process of defining and solving a problem, not on getting the “right” answer. They learn how to apply STEM knowledge, skills, and habits of mind to make the world a better place through innovation. PLTW students say that PLTW Engineering influenced their post-secondary decisions and helped shape their future. PLTW students are shown to study engineering and other STEM disciplines at a rate significantly higher than their non-PLTW peers. Even for students who do not plan to pursue engineering after high school, the PLTW Engineering program provides opportunities to develop highly transferable skills in critical thinking, collaboration, and problem solving, which are relevant for any
cooperative learning6 techniques to facilitate activelearning on the subject matter for an hour. The LTMs ranged in size from 10 students to up to 20students. The students would meet on campus in a classroom with a peer mentor one hour aweek. Additional optional study sessions were also offered throughout the week. In addition,social activities were planned to help the students to get to know each other. To make sure thatthe one hour a week meeting appeared on the students’ schedules, a zero credit course wascreated. Students signed up for the LTM session during summer orientation with their advisor’sassistance. Once registered, the LTM course would then reserve the classroom space and showup on the students’ class schedule which reminded students to
) indicate that mathematics score gapsbetween male and female students are negligible, if they exist at all.4This increase in female student attainment, however, has not significantly impacted middleschool and high school female student interest in pursuing education and a career in science andengineering. As discussed by the AAUW (2010), “a 2009 poll of young people ages 8–17 by theAmerican Society for Quality, 24 percent of boys but only 5 percent of girls said they wereinterested in an engineering career.”5 In 2006, just over 20% of first year male students plannedto major in engineering, computer science, or the physical sciences. However, according to NSFdata from 2009, only 5% of first year female students planned to major in these non
course goal to be more relevant to students who were not planning to pursue structural engineering.) 4. Did students in CEE 3110 have more concern that the grading scheme did not allow them to demonstrate their knowledge of the material as compared to the comparison group?The fact that the comparison group was from a class covering different material could bias theresults. Questions 1, 2, and 4 are related to course management, so the difference in subject mat-ter is unlikely to result in significant bias. Question 3, regarding the usefulness of the materialbeing studied, is admittedly more problematic. It is likely, though, that students would be moreinclined to view a reinforced concrete design class (the comparison group) as more
with them in December and we saw that they did not have anything manufactured on the bike yet and the competition was in April. It was just bad planning, just “let's get this over with type thing.”One competition organization representative, as well as the advisors of some of the moresuccessful teams, told us that most students and many faculty view these competitions asengineering design-build competitions, yet they are actually engineering managementcompetitions. One advisor offered the analogy of the difference between making a movie on thestudio set, where all resources are at hand and making a movie on location, where all resourcesmust be taken to the remote locale. Successful productions have anticipated all eventualities