. Page 25.862.9 Vassiliadis et al., Rocket Payload Development Fig. 9. Cosmic-ray experiment measurements with flight stages indicated (2010). Fig. 10. Radio sounding of ionospheric plasma (2011). Left: transmission of a MHz pulse andrecording of the reflected pulse amplitude (active sounding). Right: fluctuations of the undisturbed plasma(passive). The amplitude of the recorded pulse is plotted versus time from launch. A third mode (not Page 25.862.10shown) used two GHz frequencies tuned so that their beat frequency of a few MHz resonated with theplasma
reflect the views of the NSF. Page 25.892.17References[1] Millard, Don, "Work in Progress: Hands-On Exploration of the "Big Ideas" in Electric Circuits," 36th ASEE/IEEE Frontiers in Education Conference, San Diego, CA, October 28-31, 2006, pp. M4D-3 to M4D-5.[2] Martinez, Angel and Steve Warren, "RASCL: A Portable Circuit Prototyping Laboratory," 2007 Annual Conference and Exposition, American Society for Engineering Education, Honolulu, Hawaii, June 24-27, 2007.[3] Millard, Don, "Workshop - Improving Student Engagement and Intuition with the Mobile Student Pedagogy," 38th ASEE/IEEE Frontiers in Education
conclusions. Page 25.950.22. Sorting AlgorithmsSorting algorithms can be classified by the following features: Computational Complexity of Comparisons Computational Complexity of Swaps Memory Usage Recursion Stability General Method Used (e.g. Merging)The sorting algorithms used in game development should reflect the best combination of all thesefeatures. A game may use several different sorting algorithms depending on the amount and typeof data, and the degree to which that data is partially sorted.2.1 Heap Sort: “The Heap Sort is well known as the hacked sort because heaps were nevermeant to
newhigh school graduates, student retention, getting them engaged, and enhancing their skill-set. BillGates has rightly said, “Our current expectations for what our students should learn in schoolwere set 50 years ago, to meet the needs of an economy based on manufacturing and agriculture.We now have an economy based on knowledge and technology.”For today’s students, classrooms are not the only form of learning space. They are goal oriented,prefer multitasking, learning in social contexts, and thrive on smart phone app Objective-C is anelegantly reflective language based on C with added Smalltalk style object oriented conceptswhich optimizes Model-view-Controller (MVC) software architecture. It is often used in tandemwith a fixed library of
taskwas completed in a quick time of sixty three seconds. The first half (30 seconds) of the activitysees the participant complete one full revolution of the problem-solving cycle; this was done in adetermined and fluid motion. Problem area was determined early with the appropriate knowledgeand procedures being effectively selected, implemented and assessed. The cycle shows thatParticipant A considered the concept and knowledge (item 10) after each generate and testheuristic (item 22). The second half of task activity sees the participant’s cognitive procedures in ascattered formation: this was observed as the participant being reflective on the final critical stepson completing the initial test, ensuring that the process/plan is carried out
topicson Creativity, Attitude, and Tasks. For example, on creativity, the students embrace new ideas,generate inventive thinking, and display an inquisitive nature. Although these are difficult tomeasure and assess quantitatively, the survey reflects the students’ perception on these topics tosome extent. Figure 7 below shows the average response from creativity topic. The x-axisindicates to what extent this topic affected the students’ perception on creativity topic. It showsvery little ‘immersion’ of the students on creativity as it pertains to the final project in the class.The y-axis indicates the number of students participated in this survey.Figure 7: Sample chart on Creativity topic versus the level of students’ involvement
report, and were more likely to support theirdesign decisions with CADEX evidence in the final report. At the beginning stages of the designprocess students were more likely to support their choices with information they gathered fromliterature and expert sources, and this was reflected in the evidence provided in the midtermprogress reports. In the final report, students’ evidence was provided as knowledge transferredfrom prior courses in calculations and as plots and calculations stemming from the students’observations and experiments. By the end of the course, students were equally as likely to relyon their own work or seek out the work of others to support their choices.To further study the knowledge students use in decision making, we would
provide systematic archiving in the future, but is of limited use forthe period studied. Considering the move to “publish-to-present” and a decade that broughtsignificant change to the profession, it seems appropriate to reflect upon the past decadethrough such an analysis. The contributors were summarized both qualitatively andquantitatively in terms of authorship, co-authorship, and institutional/organizationsaffiliations. Since full-length papers do not exist for all contributions prior to 2009, contentanalysis is based on titles of the papers and posters. The titles were analyzed using both astandard classification scheme and textual analysis software to identify topics andkeywords/phrases, respectively. These topics and keywords/phrases were
reflect the views of the National Science Foundation.Bibliography 1. Augustine, N. (Chair), National Academies Committee on Prospering in the Global Economy of the 21st Century. 2005. Rising Above the Gathering Storm: Energizing and Employing America for a Brighter Economic Future. Washington, D.C.: National Academies Press. 2. Duderstadt, J. J. (Chair), National Academy of Engineering Committee to Assess the Capacity of the United States Engineering Research Enterprise. 2005. Engineering Research and America’s Future: Meeting the Challenges of Global Economy. Washington, D.C.: National Academies Press. 3. Duderstadt, J. J. 2007. Engineering for a Changing World: A Roadmap to the Future of Engineering
.,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