.,Master of Philosophy (M.Phil.) and Doctor of Philosophy (Ph.D.) degrees in Surveying andGeoinformatics as well as Master of Geoinformatics (MGIT-Executive programme) and aPostgraduate Diploma programme in Surveying and Geoinformatics (PGD).The need to change the name of the department was firstly due to the very narrow interpretationgiven the term "surveying" by the general public and the resulting difficulties in studentrecruitment. Secondly, to reflect the tremendous impacts that advances in technology andmodern surveying techniques have had on the surveying profession. The first concerted effort atrealizing this goal was made at a Faculty of Engineering Board of Studies meeting in the 1996/97session, in which many names were proposed. However
happens when the mind is capable to situate any information in aparticular context and if possible, in the universe that it is inserted. The fragmentation of thecomplex world in separated pieces, breaks up the problems restraining the multi dimensionalaspects and it has as result the decrease of the possibilities of comprehension and reflection,eliminating the opportunities of real learning. The science has developed itself in this kind ofknowledge fragmentation, generating the super specialties, divorced from the global context thatthey are part, atrophying the ability of integrating and evaluating the issue in its context. There isa loss of long-term prognoses, which has a straight incidence in the decisions and choices, whenthey are necessary
; the nature of knowledge (certainty of knowledge & simplicity ofknowledge), and the nature of knowing (source of knowledge & justification of knowledge) 31. Page 15.543.8Students’ epistemological beliefs have been found to influence cognitive engagement, academicachievement, and motivation to learn32, 33. Because epistemological beliefs often reflect personalexperiences31, our study will compare engineering epistemological beliefs of students who haveparticipated in service learning projects to the beliefs of those who have not. Our aim is to gaininsight as to how students perceive engineering design and whether service learning
the modules (for visual learners); verbal narrative and explanations (forverbal learners) may also be an integrated part. Small online quizzes and questions posed willprovide opportunities for active participation (for active learners) and time for individualthinking (for reflective learners).Lab Development Supporting Wireless Communication Page 15.1072.8Lab one: Analog modulation and demodulationIn this lab, students will experiment different analog modulation and demodulation techniquesincluding AM, FM, SSB, DSBSC in the prescribed part. They will then build AM and FMreceivers which can tune to AM and FM radio stations. Advanced students
During the last 3 years, the EET Program has undergone significant improvements in teaching, advisement, and student engagement in project activities and professional organizations. o Overall student satisfactions with these efforts as reflected in student course outcomes and senior exit surveys.On the other hand, measurable decrease in outcomes (i), (j) and (k) were observed whichprompted actions to improve performance and awareness. The following continuousimprovement actions were implemented as a result of the mid-cycle assessment review: - Converting senior design project into 2-semester long course - Inviting IAB members to attend final senior project presentations
software to help themvisualize the real subject and different effects and a group of students said they foundtheir design in computers was very different from sketches, which, on the other hand,reflects their disability to generate imagery either by mind or by hand. Compared withnovice designers, experts have been exposed to a great number of examples and areable to mentally form abstract conceptualizations8.Despite these disadvantages, novice designers are striving for progress and willing totry different ways to improve their design. One student who usually directly workedon computers said he began to notice that sketches could help him get good ideas.Another one also admitted he found the value of sketches after finishing the
-inquiry exercises. It is clear that better controls over the experimentalconditions will be required before the results of attitude surveys can be applied to a broaderaudience. It is also clear that innovative curriculum cannot compensate for poor execution in thedelivery of instruction. Page 15.1111.15Acknowledgement This work is supported by the National Science Foundation under Grant No. DUE0633754. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation. The authors are grateful for the assistance of Dr. Jack
. Technical usage is highlighted and the research workinvolves open-ended design tasks rather than strict procedural steps of work.In the academic year 2008, 94 students registered for the course. The numbers of groups,classified by areas and types, are shown in Table 1. In recent years, on average, over 70% of allprojects belonged to the design type. The data in Table 1 reflects this general trend. Table 1. Number of Groups by Areas and Types Area \ Type Design Investigation Total AM 8 3 11 AU 7 1 8 TF 7 4 11
instructional steps will be integrated into the Bayesian model toserve as a guiding framework to develop a rich and flexible web-based environment for Teachingand Learning Computer Programming languages.The Cognitive TheoryIt is widely known that programming, even at a simple level, is a difficult activity to learn. Why isthis so? Are novice difficulties really inherent in programming or are they related to the nature ofthe programming tools currently given to novices? Bonar and Soloway14 presented evidence thatcurrent programming languages do not accurately reflect the cognitive strategies used by noviceprogrammers. Instead, Bonar and Soloway14 have found that novice programmers possessknowledge and experience with step-by-step specifications in
. Like manymisconceptions, the use of a common word can lead to difficulties in understanding the properscientific concept. In everyday usage, “strength” usually refers to force, whereas normally whenan expert speaks of a strong atomic bond, it is meant in terms of a large binding energy. Thisconfusion is reflected in student responses. For example, in a free response version of thequestion in Figure 1, comparing melting temperatures of materials with different densities, a Page 15.1124.8student wrote:S8: “[The higher density material has higher melting temperature] because there are moreatoms packed closer together which will require more
studying engineering andattending xxxx. She met with visiting prospective women students and their families, andintroduced them to the WIE Program. During the summer, she was the Co-Director of thesummer Women in Engineering Summer Camp which hosted 25 women students going intotheir second, third and fourth years of high school. Finally, the brochure for students and their Page 15.412.8families was taken from development stage to final copy. It is now used in all recruitmentactivities.Third Year. The third year has been a year of growth but also reflection. The Coordinator wasable to hire a student worker who works five hours per week and assists
activities that were not a required component of theircourse grade. This result supports an earlier study showing that students in an introductorycomputer science course answered many more questions than they were required to andvoluntarily used the system to prepare for exams 9. Additional qualitative data is needed to fullycharacterize student attitudes about PeerWise and to determine if HA students devoted more totaltime to studying for the final than MA students.The data for this study was collected from all students enrolled in the course and there weremany uncontrolled variables, as is reflected in the high standard deviation of the data. As such,the experimental samples represented the diversity of a typical student population
select asubset of this inventory that would cover materials in the course on vehicle electronics. Thetest contains 25 questions/tasks to reflect their learning effect in this course.Table 2 shows the results of this test listed by categories of questions. The lower-scorecategories on this item “% Passed” are “General OBD concept”, “electronic circuit designand manufacturing”, “Hardware interface”, and “Development tool”. General embeddedsystem concepts were less problematic, and software programming was handled quite well.Thus, it was decided that the course should enhance the following four areas: General OBDconcept, Electronic circuit design and manufacturing, Hardware interface, and developmenttool. Table 2. Pass rate per
this article is based partially upon work supported by the NationalScience Foundation under grant numbers: 0934800, 0736997 and 0442531. Any opinions,findings, and conclusions or recommendations expressed in this paper are those of the authorsand do not necessarily reflect the views of the National Science Foundation. Page 15.1307.13References:1. Nichol, D.J. and Boyle, J.T. (2003). “Peer Instruction Versus Class-wide Discussion in LargeClasses: A Comparison of Two Interaction Methods in the Wired Classroom,” Studies in HigherEducation: 28(4): 457-473.2. National Academy of Engineering (2004). Educating the Engineer of 2020, Washington, DC.3
the performance ofindividual teams throughout the course. Students that extensively used the Team Sites,particularly the Collaboration tools in addition to the shared document libraries, tended to have abetter performance in the course, reflected in both their assessment and physical prototype.However, it is unclear if the Team Sites contributed to the success of the teams, or rather thatsuccessful teams were more willing to make use of the Team Site features.The second most commonly used feature of the eDesign Portal was the Application Publishingmodule. In particular, students reported that remote access to engineering design and simulationapplications was very convenient when off campus (e.g., from a home computer). Although theremote
Conference & Exposition Copyright © 2005, American Society for Engineering Education”The CourseThe curriculum consisted of pre-travel meetings and briefings on the Manchester region andits culture, and general information culminating in the trip to England during spring breakand post-travel seminar presentations and a reflection paper. The first pre-immersion sessionincluded covering the course requirements, introduction to the Manchester area usingbrochures and maps, a basic travel itinerary, travel cost information, how to start thedocumentation process (passports and SDSU international trip forms), and a studentparticipation survey dealing with cultural sensitivity and awareness. The survey wasdesigned to help students
next time we held thecourse we should do only one session per week. On the other hand, the students felt that thesession length of 1 ½ to 2 hours was appropriate.Impact on Teaching FellowsIn reflecting upon the impact of this course, it is clear that we learned as much from thisexperience as did the students who participated. Foremost, educational research of this typevastly differs from the typical laboratory research we as graduate engineering students havebecome accustomed to. For example, when conducting educational research investigators mustunderstand that working in a K-12 environment requires a higher degree of flexibility, patience,and tolerance of unexpected chaos. An important outcome derived through the implementationof this
slightdifference in the frequency of responses per score range.Fig 3 shows the distribution of scores corresponding to Q2 (Table 1). The pattern is fairly similar for thetwo data sets and reflects student confidence of having achived better understanding of energyconservation concepts. Page 15.800.9Figure 4. Distribution of student perceived improvement ratio R (post / pre course rating of energy conservationimportance)Fig. 4 shows the R distributions per ratio ranges with similar patterns for the two data sets. The figureshows that one third of the students for set 1 and slightly more for set 2 have not changed their ratings forpre and post course
superposition.IV. Concluding RemarksIn the method of model formulas, no explicit integration or differentiation is involved in applyingany of the model formulas. The model formulas essentially serve to provide material equations(which involve and reflect the material property) besides the equations of static equilibrium ofthe beam that can readily be written. Selected applied loads are illustrated in Fig. 1(a), whichcover most of the loads encountered in undergraduate Mechanics of Materials. In the case of anonlinearly distributed load on the beam, the model formulas may be modified by the user for aspecific nonlinearly distributed load.The method of model formulas is best taught to students as an alternative method, after they havelearned one or more of
school students’ attitudes and beliefs toward computing can provide teachers andresearchers with an understanding of how to encourage more students to pursue these fields. Thestudy presented here was partially support by the National Science Foundation (NSF) (DUE-0512064; DRL- 0737679; DRL- 0623808). The ideas and opinions expressed are that of theauthors and are not necessarily reflective of that of the NSF.Research QuestionThe research question that guided this investigation is: ≠ Are the two intervention programs which target high school students’ computer science and information technology attitudes equally effective for improving students’ attitudes within the two fields
processand a final course test are taken into consideration to evaluate learners’ achievement levels.Pre/post test and the unit exercises for those in the experimental group are taken from thequestion storage. A variety of formats such as true/false, single choice, multiple choice, and shortanswer are included that reflect the content and unit objectives. The first three types of questions Page 15.7.6 required that answers be justified. 85% pass is required for each unit test in order to transfer to the following unit. The final course test is administered for both groups in a paper-and-pencil format. Web-based learning attitude scale A web-based
calculate input and output power,and power loss or attenuation. Page 15.670.7Figure 1. Lab activities providing hands-on experience.6. AssessmentAssessment is vital and should reflect to what extent the course meet the learningobjectives; direct and indirect assessment measurements were developed to measure theeffectiveness of the course and whether goals are met.Participating student knowledge and understanding of subject material were directlyevaluated through quizzes and pre-test and post-test that measures competence of thecourse components. Results of the exams were analyzed to determine specific areas ofcognizance of the subject matter, interest in
≠ Pre-workshop assessment worksheet ≠ Discuss the pre-workshop assessment ≠ Followed immediately after ETW ≠ More time between ETW and ExCEEd II ≠ Demonstration class ≠ More time for personal reflection ≠ Participant team building through games (kickball) ≠ Need time to talk as a team before sports, Low impact sport, but keep it competitive ≠ Participant team rapport ≠ Ice breaker party, perhaps at the hotel ≠ Had meals together ≠ Vegan options and a meal where participants from
. They were supported bythe lead teachers and the community college faculty as they prepared to integrate a unit of EiEinto their classrooms over the next two academic years: 2009-2010 and 2010-2011.Description of the Participating Lead TeachersBefore starting the Teacher Educator Institute, each of the lead teachers filled out a participantsurvey. Tables IX and X tabulate the participant survey responses and reflect the number of yearsthe teachers have been employed in education and their educational backgrounds. Table IX: Number of Years Employed in Education Years in Education 3 3.5 4 5 6 7 8 9 10 13 16 17 20 Number of 3 1 2 2 2 2 2 1 1 1 1 1 1 Teachers Table X
and assessments that have been developed. The mostcommonly used within engineering is the Felder-Silverman learning styles model [4], with itsassociated assessment, the Index of Learning Styles (ILS). This model categorizes studentsbased on four dimensions, which characterize different aspects of student learning: sensingversus intuitive, visual versus verbal, active versus reflective, and sequential versus global. Interms of learning programming content, the two most important scales are the visual versusverbal scale and the sensing versus intuitive scale.There have been numerous studies that have looked at the learning styles preferences ofengineering students [5-7], and those preferences are consistent across populations [8]. Whatthese
. In fact, by the end of the semesterthe engineers were arguing their position papers from humanist perspectives and vice versa –humanists basing their arguments on cost-benefits and practical reasoning.A conclusion based on the review of the course assessment and reflection was the necessity todevelop and facilitate the course with a multi-disciplinary group of students and a team taughtapproach representing not only engineering but also a humanistic perspective. Survey responsesfrom the civil engineers clearly indicated the humanities students provided example applicationsof critical thinking and a broadened worldview previously unseen in engineering and othergeneral education courses. Furthermore, the peer effect was strong providing a
process: ≠ Blue – Enablers ≠ Pink – Hinderers ≠ Yellow – Student Need Statements ≠ Green – Student Need Factors ≠ White – Pre-defined Student Need Factors (based on the student success theoretical perspectives)Step 2: Elicit Once participants had an understanding of the scope of the meeting, they were guidedthrough a brainstorming exercise by the facilitator. The discussion questions allowed the groupto reflect on their own experiences and provide their perception of those needs that facilitateengineering student success. To ensure that participants clearly understood what is expected ofthem, each discussion question was initially posed to the group to provide an example
considered. For instance the average score foroutcome b - ability to design and conduct experiments, as well as to analyze and interpret data –is below the threshold 50% level. This was a flag to evaluate further the achievement of thisoutcome. In this case, the faculty agreed that the items provided for outcome b were significantlymore difficult that the other items and did not properly reflect expected level of achievement.The outcome b questions are currently under revision. Table 3: GSE score and sub-scores IE and MfgE Outcome IE (n= 130) Mfge (n = 32) Total (n=162) a 67.0% 73.7% 69.2% (21.5%) (23.4
Page 15.817.8their persistence and impact.Although we have made significant progress, we know that sustaining the slow process ofinstitutional transformation will required continued efforts and investment. The ISU-ADVANCE team continues to develop strategies to address each of these challenges and remainsboth committed and optimistic to positive transformation.This material is based upon work supported by the National Science Foundation under Grant No.SBE-0600399. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation
. Video clips are presented along with the questions/answers to explainstudents what are related to EE and what are the basic fields of EE. The portal page of themodule is displayed in Figure 9, which can be accessed after students login with their user ID. Figure 9: Portal page of the GIVE moduleWhen designing the module questions, we tend to present and reflect different levels ofknowledge, from being more intuitive to being involved with more critical thinking. Someexamples of the videos and questions are described in below to illustrate this feature.Figure 10 shows four snap shots of a video clip used in GIVE module. This video is designed tocascade a sequence of very short clips on various subjects, some are related