undergraduate engineering courses and studied the effects on student learning as wellas student perception of classroom environment in the seven psychosocial dimensions:personalization, involvement, student cohesiveness, satisfaction, task orientation, innovation, andindividualization.2. Class Information The University of Pittsburgh is a public university with 16,719 full time undergraduatesand 10,297 graduate students. The flipped class contained 33 students of mixed majors andyears in school, but was predominately civil and environmental students. The class was CEE Page 24.1295.31218/2218-Design for the Environment, an experiential learning
Tracing: How Could We Train Our Students?AbstractAssisted requirements tracing (ART) skills are essential for new college graduates joining thesoftware industry as their initial assignments often involve substantial tracing-related activi-ties. Although studying human analysts in ART is an emerging research trend, how studentsmight behave differently from software professionals is yet to be investigated. In this paper,we compare the performances, processes, and strategies between students and software pro-fessionals in carrying out ART tasks for an unfamiliar system. We observe that both studentsand professionals performing ART activities generally follow a generic four-phase problemsolving process: define the problem, develop
. The students depend on thisguide heavily to get ideas about the algorithm and to check the computational thinking and allows for further inquiry of thesyntax of the commands. In addition to the reference guide, a physics content through simulations and graphical analysis.few short examples are given to demonstrate the functionality There is a currently a proposal to implement more formaland syntax of new commands. The students often refer back to formative and summative assessments and cognitivethese examples when trying to incorporate the new commands measurement practices starting in the 2014-2015 school year tointo program. The new commands are added to the reference determine the impact of programming
Paper ID #9573Does Engineering Attract or Repel Female Students Who Passionately Wantto Help People?Dr. Angela R Bielefeldt, University of Colorado, Boulder Angela Bielefeldt, Ph.D., P.E., is a Professor in the Department of Civil, Environmental, & Architec- tural Engineering at the University of Colorado Boulder. She has been on the faculty since 1996. She serves as the ABET Assessment Coordinator for the Department. Professor Bielefeldt teaches introduc- tory courses for first year engineering students, senior capstone design, and environmental engineering specialty courses. She conducts engineering education
Be Done?. In P. Barker & S. Rebelsky (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2002 (pp. 1479-1483). Chesapeake, VA: AACE.13. Tinto, V. (2006). Research and practice of student retention: What next? Journal of College Student Retention: Research, Theory & Practice, 8(1), 1-20.14. Truluck, J. (2007). Establishing a mentoring plan for improving retention in online graduate degree programs. Online Journal of Distance Learning Administration, X(1).15. Huett, J. K., Kalinowski, K. E., Moller, L. & Huett, K. C. (2008). Improving the motivation and retention of online students through the use of ARCS-Based E-Mails. The American Journal of Distance
Paper ID #9379Work in Progress: Using Outcomes-Based Assessment in an IntroductoryStructural Engineering CourseDr. Matthew W Roberts, University of Wisconsin, Platteville Matthew Roberts has been teaching at UW-Platteville since 2002. He is originally from Denver, Colorado and attended Brigham Young University for his B.S. in Civil Engineering. He then spent four years as a civil engineering officer in the U.S. Air Force. After his military service, he completed graduate work at Texas A&M University. He teaches classes on reinforced concrete design, structural steel design, and other structural engineering topics.Ms
of Mechanical Engineering at Stanford University. Besides teaching both undergraduate and graduate design and education related classes at Stanford University, she conducts research on engineering education and work-practices, and applied finite element analysis. From 1999-2008 she served as a Senior Scholar at the Carnegie Foundation for the Advancement of Teaching, leading the Foundation’s engineering study (as reported in Educating Engineers: Designing for the Future of the Field). In addition, in 2003 Dr. Sheppard was named co-principal investigator on a National Science Foundation (NSF) grant to form the Center for the Advancement of Engineering Education (CAEE), along with faculty at the University of
and Anxiety Best Practices in SI ProgramsThe success of the program during the fall of 2012 allowed it to expand once again for the springof 2013. At this time, the School of Engineering offered SI support in all sections ofmathematics through differential equations, all sections of chemistry, all sections of physics Iand II, all sections of CIVL 202, all sections of CIVL 309, all sections of Computer Applicationsfor Electrical Engineers (ELEC 206), and all sections of Circuits II (ELEC 202). Similarofferings were held for the fall 2013. Table 1 contains a complete listing of the number of allrelevant freshmen, sophomore, and junior courses and the number of sections that contained SIfor fall 2012 through fall 2013. Figure 4
with the necessary skill-set ofnew students, recruited by existing project team leaders to fill positions that becomeavailable as students graduate or as the project progresses. While effectively matching theinterest of upcoming students with project needs, the competitive approach also shiftsresponsibility for selections more fully to both student leaders and recruits, who live andwork with these choices. Beyond its immediate practical value, the competitive processexposes students to some dynamics of a real job search, better preparing them for their post-graduation career job search. It also provides an opportunity for students to practice at leastthree of the ABET Student Outcomes: functioning on interdisciplinary engineering teams(d
, and creatively and energetically working for our dreams of what could be”to produce both more socially responsible engineering and, potentially, increase the recruitmentand retention of female students.18 Researchers at Worcester Polytechnic Institute have recently Page 24.1375.8reported the results of a study in which female engineering graduates between 1974-2011reported greater long-term impacts of project-based learning on their worldviews and personaland professional impacts than males in this cohort.19 In their discussion section, authors Vaz, etal (2013) indicate that these results “are consistent with Busch-Vishniak and Jarosz’s
) has been moving from alargely non-traditional student body to a more typical college demographic. This is seen by manyas one of the causes of unmotivated behavior many see more frequently in recent years. Though thecauses may be less understood, many studies indicate the consequences of low motivation areserious and include low persistence in engineering majors1,2. The study outlined below focuses ontwo specific research questions. First, what demographic factors (e.g., age, sex) are most closelytied to high levels of motivation? We are considering levels of motivation to be manifest in pointsearned on low point-value assignments, typically an “un-motivating” assignment. Second, arethese factors different for engineering technology students