college degree without completing it by the study’send. Other theoretical departures included dying or declining to participate further in the study,but these departure types were eliminated by the design of the data collection. Students werepurged from the study if they died, were not selected for further sample inclusion, could not belocated for the fourth and final follow up (F4), or declined to participate in the fourth follow up.The 12,144 records in the NELS:88/2000 dataset reflected all students that were chosen forinclusion in F4 and responded to the survey. Students who actually achieved a STEM degreenever experienced the event of interest because they did not depart the STEM track. The 12,144records were sorted to remove from analysis
provide two sub-scores, which are randomly embedded in theinstrument. Thirteen of the statements yield scores for the Personal Science Teaching Efficacy(PSTE) subscale, which reflect science teachers’ confidence in their ability to teach science. Theremaining ten statements yield scores for Science Teaching Outcome Expectancy (STOE)subscale, which reflect science teachers’ beliefs that student learning can be influenced byeffective teaching. Participants used a five-point Likert-type scale to respond to each of the 23statements by selecting one of the following responses: strongly agree (5), agree (4), areuncertain (3), disagree (2), or strongly disagree (1). Negatively worded statements were scoredby reversing the numeric values. The possible
generallyreflects an adequate work ethic, a grade of B generally reflects a marginal work ethic, and agrade of C or lower (including most withdrawals) generally reflects a poor work ethic.Therefore, we use the GNEG 1111 grade as a descriptor of work ethic in the remainder of thispaper.Anecdotal data suggests that grades in the first-semester MATH class are of great concern to allfaculty and staff members (across all colleges and universities with engineering programs) whowork with first-year engineering students. Such concern is shared by the FEP faculty and staff. Inthe Fall Semester of 2007, only 58% of the students in the FY07 cohort who attempted MATH1203, MATH 1285, MATH 2554, or MATH 2554H received a passing grade. Therefore,performance in these
, administered tostudents during regularly scheduled class time. No personally-identifiable information aboutstudents was gathered. The survey was administered in English, and the survey questions areincluded in the Appendix.Since the results and conclusion of this study are based on self-reported data, it is important tonote that actual student behavior may differ from that which was reported in the survey.Considering the negative implications associated with cheating, it is thought that any differencebetween self-reported behavior and actual behavior would be reflected in actual rates of studentdishonesty being greater than reported.Analyses of variance (ANOVA), including post-hoc pairwise comparisons and two-way cross-tabulation (Chi squared analysis
of when they may be needed in the future. Emphasis on computer simulations can also consume class time that historically was devoted to covering fundamentals. As with all of the trends discussed in this section, balance has to be struck between well-proven historical methodologies and new and (potentially) improved ones. Page 14.293.76. Hybridization of Academic Disciplines: Another recent trend is hybridization of academic disciplines, both in academia and profession(s). This offers certain advantages, for example, resource pooling and broader perspectives on problem solving. It reflects increasing hybridization of disciplines in the
rigidity (fig. 10 step5). These functions are related by commonproperties and relationships between liquid and solid states of a given substance. This exampleprovides a case where individuals search and recall analogies using a complex interactionbetween knowledge of the physical world, behaviors and functions. Functional analogy alone isnot capable of duplicating such an example. d. The University of CalgaryThe engineering instructors of our design course developed an action based approached to designthat is intended to better reflect the actions taken by successful design engineers. This action-based approach is based on the activities of design: familiarization, functionality and testing orFft. Familiarization requires the students to seek
conceptual and practical issues to consider ishighly valuable when one is embarking on the design and implementation of an onlinecourse.The purpose of this study was not only to gather data from faculty and students regardingtheir perceived usefulness of these materials in a Numerical Methods course, but also toprovide methods and examples of instruments used to evaluate and assess the utility ofthe tools and information provided through the web-based resources and modules.Although the literature base for evaluating online courses is expanding as a reflection ofthe ongoing expansion of the implementation of online instruction, much of informationavailable addresses a specific issue, design characteristics, or target population.Currently the
that keeps direct sunlight away from windows while providing sufficient daylight reflection to eliminate the need for electric lighting, and selected openings to allow adequate ventilation throughout.≠ The school included the construction of a mosque which required sensitivity, awareness, and some research into cultural and religious issues for the predominately Christian design team. The age of the students who will be attending the Same Polytechnic meant that the arrangement of living accommodations of male and female students in relation to one another needed direct attention. While it is common for young men and women to attend the same educational institutions after graduating from secondary school, there were
statistics monitored by the library reflect thistrend. In fact, all new journal subscriptions acquired since 2006 have been electronic format only.Having the print copy of a journal on site is no longer a requirement, therefore during the2005/06 and 2006/07 academic years, 4,652 bound journal volumes were sent to remote storageand 2,084 volumes of duplicate volumes were withdrawn since these titles were availableelectronically. It is expected that by July 1 2009, 2,000 more volumes will be sent to remotestorage or withdrawn.Table 1. The Engineering Library Collection in NumbersLibrary Collection 2001 2009Monographs (vols.) 74,700 71,000Bound periodicals (vols
the“You scratch my back; I’ll scratch yours” syndrome, the actual grade each student receives forthe peer review is a combination of scores from other students and a score reflecting formcompletion, based on the review guidelines in Figure 5. Page 14.1287.12 Oregon Institute of Technology Civil Engineering & Communication Departments CIV/COM 401. Senior Project Peer Review Guidelines You will receive two scores for your peer reviews: one for how well you complete the forms and
step further when theyessential threw out a course on electronics devices that had a really heavy emphasis on Op-Ampsas the basic active device building block component. In an effort to provide the Verizonemployees with a course that would be more reflective of their world of work and at the same Page 14.1236.10time give them a useful course on maintaining and troubleshooting electronic systems used in thetelecommunications industry, a course titled “Electronic Systems” was conceived by the groupand is in the process of being developed for implementation in the Fall of 2009. The majorcourse topics are listed here while a more detailed outline
materials we develop. An exampleof a completed problem set will be presented in the poster presentation.Synthesis of Nanoscale ParticlesDr. Robert Krchnavek has led the efforts in this area along with undergraduate student JohnCarroll. A series of laboratory experiments suitable for high school students, are beingdeveloped. These laboratory experiments reflect the importance of nanoscale drug particles. Ourexperiments intend to demonstrate (i) the enhanced solubility of a nominally insoluble particleby creating a nanoscale version of it, (ii) demonstrate the various methods of achievingnanoscale particles that are relevant to the bionanotechnology industry. Of course, the greatestchallenge in this endeavor is to create laboratory experiments with
developed a series of course-level outcomes that help tomeet industry-defined competency gaps. In this project, we are creating a bridge between ABETprogram-level outcomes and these course-level outcomes. Other institutions will be able to useour curriculum model to map relevant course-level outcomes to the mission as reflected in thehigh-level ABET outcomes. This will help institutions satisfy accreditation requirements andmeet industry needs, while maintaining proper flexibility in educational offerings.This project directly addresses NSF’s cyclic model of STEM education, as shown in Figure 1.Our original NSF project to adapt the LF for implementation in a laboratory setting addressed thefirst part of the NSF model: Creating New Learning
issues has not shown a significant increase, this likely indicates that a single smallexternal change to the project (reusable containers) is not significant enough to impact students’beliefs and attitudes. In the Spring 2009 semester additional environmental issues will beincluded. The simulation will be more impacted by the introduction of more and variedenvironmental factors and environmental impact metrics.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.0633014. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. This work was also partially
. Page 14.912.3ApplicationsIn this section, we expand discussion of the two applications mentioned above,confidence interval construction and hypothesis testing, and give some examples.Confidence IntervalsConfidence intervals of any statistic can be computed by generating a largenumber of pseudo samples by bootstrapping. The statistic in question should becomputed on all the pseudo samples, plus the original sample. A confidenceinterval is then the appropriate percentiles of the list of computed statistics. Forexample, to construct a 95% interval for the mean of a population, we generate999 pseudo samples by bootstrapping. Including the original sample, we have1000 means, the variance of which should reflect the variance of the originalmean
support open inquiry.(Barrows, 2000). It is important that the aims and objectives of problem-based learningare reflected in every aspect of the learning environment created. Problem-basedcurriculum should document accomplishments at the upper levels of Bloom's TaxonomyTriangle. (Boud & Feletti, 1991). Scholars in the area of cognitive science andeducational psychology have identified four features that clearly separate a problem-based curriculum from a traditional, topic-based curriculum. (Nickerson, et. al. 1985). Inthis presentation, the author describes how he has utilized the four features in the coursehe teaches. He also presents analyses of the feedback data he has obtained and suggestsguidelines for further improvement (Narayanan
decreased output), solve the problem” • An ability to design a system with multiple constraints • An ability to technically communicate Evaluation of Outcomes The main assessment tool for quantitative evaluation included two rubrics (Appendix A) modified and designed for this particular course. The first rubric was used to score Projects 1-4; the second rubric was used to score the final project and poster presentation. The faculty review and grading of design projects reflected this rubric, and evaluated outcomes and student progression in demonstrating the abilities most important to long- term career success (note the emphasis on technical communication skills in the
summarize the results from design verification testing. It should indicate whether all the requirements were met. If any requirements could not be met, they should be listed in this section. The students should refer to the RSLogix500 project report.≠ Conclusions – The conclusions section should also summarize what students learned by executing the project and should identify problems encountered other than equipment problems during the lab session.≠ References – The references should be any resources relevant to the assigned lab topics.≠ RSLogix500 Project Report – The RSLogix500 report should reflect the following options in the configuration and ladder options dialog: Figure 8. RSLogix500 project
project report.≠ Conclusions – The conclusions section should also summarize what students learned by executing the project and should identify problems encountered other than equipment problems during the lab session.≠ References – The references should be any resources relevant to the assigned lab topics.≠ RSLogix500 Project Report – The RSLogix500 report should reflect the following options in the configuration and ladder options dialog: Page 14.776.8 Figure 8. RSLogix500 project report options Figure 9. RSLogix500 ladder setup option ≠ RSLogix500 File - The ladder logic diagram
was funded by the National Science Foundation DUE # 0439706 , # 0736997 andOISE # 0623351. Any opinions, findings, and conclusions or recommendations expressed inthis paper are those of the authors and do not necessarily reflect the views of the NationalScience Foundation. We particularly thank Dr. Marjorie Lueck, Program Director, NSF, for hervaluable support and encouragement. We thank the research center in India for providingsignificant research projects. We thank our faculty colleague at IIT Madras, Dr. KrishnanBalasubramaniam for working with us in providing the necessary technical and engineeringinformation in developing this case study.References1. Shaha, S.H., Integrated outcomes: where CIOs need to be thinking. Health Management
department.6 Read and reflect on your courseevaluations, as some of the students’ comments may prove to be very insightful.2Though the hurdle to tenure may be high, you should feel some comfort in the fact that yourepresent a substantial investment on the part of the department and university, and it is ineveryone’s interest that you are successful, with many productive years ahead. Page 14.959.6Be AssertiveTo be successful, you must be assertive. In department meetings, though you may feel youshould be submissive to those with seniority, speak your mind when you need to. Everyone willwelcome the honest and fresh perspective that you bring.Request a
, andinterests. This section describes the composition and responsibilities of a search committee.The composition of a search committee should reflect the widest range of department interestsand experience. At the same time, the committee should be small enough to work togethereffectively. Ideally, a faculty search committee should consist of 3-6 members that are arepresentative sampling of the department as a whole2. The larger the committee, the moredifficult it becomes in arranging common times to meet. It is important to strike a balance suchthat the search committee is “small” enough to represent as many interests as possible. Membersshould also have a shared vision of departmental goals and an understanding of how theparticular position meshes
students.Additionally, there was an effort to reduce the cost of required software, purchased by thestudents for their coursework. It was discovered that depending on the sequence of offeredcourses, some software needs could be kept to a minimum, thereby creating an added financialbenefit. Therefore the first two years of curriculum were aligned, where possible, to coincidewith a cost effective software bundle. For incoming freshmen, this management of coursestructure, software concerns and library benefits assisted in considerable financial savings.ProgressPositiveIn the current and initial year of implementation, the laptop program has fostered quite favorableresults. Student morale, reflected in course evaluations where laptop instruction occurred
PLCs in action,and identification of a book or software publisher to aid with full-scale dissemination of VirtualPLC.AcknowledgmentsThis material was supported by a National Science Foundation Course, Curriculum, andLaboratory Improvement (CCLI) grant (No. 0088873 and 0341287) and a gift from Rockwell Page 14.201.16Automation. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author and do not necessarily reflect the views of the National ScienceFoundation or Rockwell Automation.Bibliography1. Bureau of the Census, Statistical brief: advanced manufacturing technology SB-13-90, U.S. Department
include continued development of web-based problem-solving environmentsfor automated system design, implementation of automated cognitive task analysis within theseenvironments to facilitate continued research on design problem-solving, and development of anundergraduate-level system integration course.AcknowledgementsThis material was supported by a National Science Foundation grant no. 0238269. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorand do not necessarily reflect the views of the National Science Foundation.Bibliography1. Hsieh, S. "Automated Manufacturing System Integration Education: Current Status and Future Directions," Proceedings of 2005 ASEE Annual Conference
complete increasingly more difficult assignments with lesssupervision. The experts in the field model the characteristics of an engineer in industry,not the characteristics of an engineering professor, so the student can observe and attemptto mimic these behaviors until she gains mastery. Because the co-op student is still astudent and not a full-fledged engineer, she has more flexibility to experiment withdifferent methodologies to accomplish tasks, and through reflection she can construct theknowledge of what works and what does not. Through this experience she understandsand builds a framework about what it takes to be successful.Significantly, however, current research suggests that the experiential learning providedin a co-op experience is
Foundation Grant No. REC-0337629 (now DRL- 0729596) and EEC-0646441, funding the Multiple-Institution Database forInvestigating Engineering Longitudinal Development (MIDFIELD, a collaboration of ninepartner universities) and a collaborative NSF Gender in Science and Engineering Research Grant(0734085 & 0734062). The opinions expressed in this article are those of the authors and do not Page 14.675.8necessarily reflect the views of the National Science Foundation. 6References1 Astin, A. W., and Astin, H. S., (1992) Undergraduate science education
to the crib sheet in between test periods.The following tables illustrate the overall exam performance by the students, wherein fall 2008scores reflect the longer examination period. In addition to the two-day exam period, studentswere given the opportunity to earn redemption points through the completion of an on-lineassessment. The details of the assessment will be discussed later in the paper. It should be notedthat the data in Tables 2 and 3 are raw figures without any type of redemption or assessmentpoints added to the score. This was done to examine the effect of the longer exam time. Table 2: Thermodynamics Exam Performance without Resurrection Points Semester Exam 1: Thermo Exam 2: Thermo
assignments.The challenge in teaching mechanical systems (Plumbing, Heating, Air Conditioning, HydronicSystems, Utilities, etc.) is that major components are hidden underground or in the wall. Studentshave difficulty visualizing areas that are not the exposed portion of mechanical systems in theirdaily lives. Exams currently given in this class reflect that the students miss questions related tothe areas of the system that they cannot touch. In addition, they do not have as much interest inthe subject matter because they have not had the opportunity to touch it and look at all of themoving parts. By defining student outcomes the comprehension and improvement of studentslearning will develop and improve.5. Develop evaluation model for continuous
student may havevarious learning styles and most people have many learning styles. McKeachie15 reflected thattoo many teachers think of students as a featureless mass; too many rarely vary their teachingmethods, thinking that the method by which they were taught is best for everyone. However,learning styles are preferences and habits of learning that have been learned and that everyone iscapable of going beyond the particular style preferred at the time. Also learning styles do notmake as much difference as the student’s prior knowledge, intelligence, and motivation and thatthese characteristics are learnable. So it is important for both teachers and students to realize thatlearners always encounter many situations that are not adapted to their