teammembers are likely to divulge it as part of this exercise. In order for the instructor to intervene in a timelymanner, a mid-term or mid-project evaluation is critical. This approach requires self-reflection on thepart of the student and also provides peer evaluation. This information can be invaluable to the instructorwho may likely not have had the opportunity to observe the finer workings of the team. As anotherexample, to assess whether or not students have utilized a process in decision making, as opposed to, forexample, a majority vote, students can be asked to write a short memo outlining a decision they made,options considered, and the means by which they determined the outcome. A well-defined rubric canthen be used to analyze the
under theumbrella of sustainable engineering. Page 22.418.2In this paper, we present two sets of data: (1) a comparative analysis of fifteen published sets ofsustainability principles (some of which are drawn from the context of engineering, some fromother contexts, but none in the context of engineering education), and (2) a summary of arepresentative set of engineering courses at US Universities that include sustainability terms intheir titles or course descriptions. While other methods of data collection may reflect a morenuanced understanding of the idea of sustainable engineering (and, in fact, seeking this nuance ispart of the motivation
project outputsmoving forward is in part a reflection of those difficulties.UltrasoundThe Ultrasound project was the result of one of the instructor’s conversations with a professor inRadiology who was training midwives in Uganda to use ultrasound technology. They werehaving some issues with the commercial portable ultrasounds (cost, difficulty of user interface,etc.), and so the problem posed to the students was: how can you make ultrasound more usableby midwives with limited training? And can you make it cheaper, too? In winter quarter therewere two CSE students and three HCI students on the team. In winter quarter, students surveyedSeattle-area midwives, created surveys to send to Ugandan midwives, investigated otherdeveloping world based
engineeringdesign process22 also shown in figure 1. Figure 1. Legacy Cycle and Engineering Design ProcessThe Legacy Cycle consists of the process followed to solve challenges that are designed tomotivate and engage faculty/students in learning activities. In the Legacy Cycle, the followingsteps are performed and repeated: Page 22.113.4 Look Ahead (Not shown in the Figure): The learning task and desired knowledge outcomes are described here. This step also allows for pre-assessment and serves as a benchmark for self-assessment in the Reflect Back step. The Challenge: The challenge is a question or task carefully
resultcounterproductive since the students will be overloaded with information. Another extreme willbe to teach them only one or few methods; although this avoids an overload, the authors haveobserved that most instructors do this, teaching just a couple of preferred methods. The premiseof this research work is that there is a lack of guidance when it comes to design methodselection. This situation is also reflected in the professional world where it is well known thatdesigners will stick to just a couple of methods in each category for the most of their professionallife. This is understandable because (1) the designer is familiar with the method, and (2) there isnot a clear guide to help decide which other methods to use. A test-bed for an expert system toguide
course which included: atomic bonding,crystal structures, dislocations and defects, and phase diagrams. During each class period aReformed Teaching Observation Protocol (RTOP) observation was completed to assess theinstructor’s classroom pedagogical practice in order to determine how it might have changedover the course of the semester. Students in the course completed daily reflections and an exitcourse survey to assess their perception of how supportive various components of the coursewere to their learning. Data suggested there were minor changes in teaching behaviors over thesemester, and that time spent on activities and number of slides in the instructor’s presentationinfluenced these changes. Additionally, students perceived that many of
the PK style helped a majority of the students in understanding the information presented. This is in comparison with the traditional style. Page 22.831.4• 10 out of 15 students in the audience indicated that they liked the pace and format of the presentations. 2 were neutral and 3 students in the audience didn’t like the form used for presenting the material. 67% of the students in the audience indicated that they liked the pace and format of the presentations. This doesn’t reflect that they learned something from the presentation, but they found the presentations entertaining.• 11 out of 15 students in the audience
and experiential learning1,2. Through peer interactionand collaboration student’s are able to synthesize and evaluate their ideas collectively3,4,5 and areforced to reflect upon and reason about their ideas at greater depth than when workingindividually6.In contrast, there are numerous studies that show the difficulty students experience working inteams. Student’s frequently cite that they have little influence and no control over their team-mates; they believe their grade will not reflect their contribution or competence; and thetransaction cost of scheduling meetings, and working collaboratively are not worth the rewards,of which they see few7. These bad team experiences can have a profound impact on thosestudents who are subsequently
sophisticated semiconductor test equipment.4 A recent survey of leaders from thesemiconductor industry underscores the desire for more universities to introduce material intotheir curriculum that more closely reflects the practices of industry, such as test programdevelopment.5This paper will discuss the partnership between The University of Texas at Tyler and SPEAAmerica to introduce test engineering into the BSEE curriculum. SPEA is major manufacturer of Page 22.965.2advanced automated test equipment (ATE) and has donated to our institution a high performance
styles.Diversity and Teamwork:Embracing differences in personality (Myer-Briggs) and learning styles (Global vs. Sequential;Intuitive vs. Sensing, Active vs. Reflective; Verbal vs. Visual). Decision trees and methods formentoring. Group communication and conflict management tools. Development of a plan ofaction (formulation, negotiation, fulfillment, and review). Project lifecycles and rhythm ofaction for teamwork.K-12 outreach: Levels of learning (Bloom’s taxonomy). Teaching methodologies in the K-12domain and the public sector (societal service). The heart of the leadership module is centered upon the 8-step design process (Figure 1).The concept is presented in lecture as a standard format for the engineering design process. Oneweek of lecture is
, Dollar, and Dantlzer showed that performance on conceptual andtraditional Statics problems does correlate well.8 Of course the correlation with performance inStatics and having taken calculus-based Physics I could also be a reflection of studentpreparation and self-confidence, but that is not discernable from these data.Finally, possibly the most interesting finding here is that only the drawing FBD self-assessmentcorrelates to performance, but it correlates to performance in all three of the areas examined:drawing FBDs, and writing and solving equilibrium equations. While most students gavethemselves the same ratings in all three areas, students in this study who did change their ratingscores in different areas were three times more likely to
is your job now to findout if this is really a problem and if there are viable alternatives to its use as packaging.”After further discussion it was decided to divide the tutorial into modules that reflected the mainmanagement themes of Enggen303 and covered the information resources these required. All ofthese modules contained tips, self-tests and interactive exercises as detailed above. Most alsocontained short videos which showed students how to access particular types of information. Themodules became:Module 1 - ‘Is polystyrene bad?’ There are varying opinions on the environmental impact ofpolystyrene and you will need to do your own research. ‘Finding articles’ introduces students toeffective ways of searching using Google and Google
c American Society for Engineering Education, 2011 Lessons Learned Offering a Combined BS Engineering (with Cooperative Education) and MBAAbstractThe development and implementation of a combined Bachelor of Science in Engineering with aMaster of Business Administration program is described. The paper articulates thecharacteristics of combined degree programs and enumerates the lessons learned in theimplementation so that other universities interested in pursuing a similar approach can learn fromthis experience. The first cohort of students graduate June of 2011 and their reflections on theprogram are provided.BackgroundWith the support of the Industrial Advisory Board, the College of Engineering &
, while velocity is an instantaneous quantity. For the falling object, we candetermine the average velocity between successive frames by determining how far it moved anddividing this distance by the amount of time between frames, as in Figure 4. Page 22.1117.6Figure 4 – Extending results to determine average velocity versus timeLook closely at the data points on this plot in Figure 4. You may notice that the points are not ina perfectly straight line. What should our interpretation be for the “roughness” in the data? Doyou think this is an accurate reflection of the actual velocity changes versus time, or is the actualvelocity profile more smooth? If the actual change in velocity versus time was smooth, thenwhere did the
desire to become an engineer. 4, 10Individual agency is cast in such formulations as something which not only exists in meaningfulform among all students, of all backgrounds, but which, when present in sufficient amounts, candetermine a student's interior life (promoting the desirable activities of "self-regulation" or "self-reflection") and also his or her outwardly visible activities such as the attainment of goodgrades, or persistence. Skill acquisition and confidence are mutually supportive in many of theseanalyses, with both attainments in turn leading to success in college and the workplace. 11Negative interior experiences, such as anxiety and fear, also configure some students'performance and are seen to impede life success. While
) guarantyfor throughput cannot be provided by wireless systems. In industrial environments, the radioconditions can be especially difficult because metal walls have a significant impact on thetransmission. Metal shields causing more reflections during radio transmission is well known.Security dependent systems requiring stringent data rate throughput within strict time windowconditions should not be wireless.In addition to the parameters discussed above — factors like unit density, traffic demand,mobility, environmental changes during deployment, interference, frequency range, etc.,determine how well a technology satisfies the requirements. Thus, both the individual linkperformance and the overall network capacity should be optimized.One of the main
for selectedareas of interest. This subjective survey solicited student and faculty input on a scale of 1 – 5where “1” correlated to little or no support and “5” indicated strong agreement. Benefitsincluded increased student engagement (rated nearly 4.4) and reflected a perceived increase inthe student engagement by providing many with their first hands-on experience with constructiontechniques and procedures; enhanced faculty-student interaction (rating of 4.125) deriveddirectly from a working environment that integrated faculty into the program working side-by-side with students to achieve a common constructive goal; improved student cooperation (ratingof 4.4), the project participants reported a marked collegial atmosphere that promoted
. Based on these results, it may be concluded that the majority ofstudents believes the course materials are suitable and the course is valuable for theirgraduate studies. There is a drop in rating in 2009 but there are no significant differences Page 22.1371.8in the course content as well as how the course is conducted so there is no simpleexplanation to the rating differences.Lesson 3: It is imperative for the instructor to balance mathematical knowledge andapplication of mathematics in all aspects of the course delivery.Lesson 4: The tests and exams should reflect the importance of mathematical knowledgeand application of the knowledge in
design projects, 93.6% of the students felt that the compressor project was suitable forfirst-year students and the same number felt that the walker project was suitable for first-yearstudents. The student comments reflect their enjoyment of hands-on design projects, and howmuch educational benefit they derive from them: “It was a fun, but challenging project.” “The project was challenging and time consuming but was not overly difficult.” “Fun” “It was a lot of fun and I learned a lot.” Page 22.1603.7 “Good project to get freshmen working hands on early on so they can understand problems with designs you
thirteen hours of courses, with asecond design course being added to each area. The faculty in the space flight area chose torequire the Space Systems Engineering Design (SSED) course as the prerequisite for thecapstone spacecraft/ mission design course. Also, a computational laboratory attached to theorbital mechanics course was revamped to focus on the modeling of spacecraft subsystems. Thecourse was renamed as the Spacecraft Systems Laboratory (SSL) to better reflect the new coursecontent. These courses were formally adopted for inclusion in the curriculum as prerequisites forthe capstone design course effective in the fall 2008 semester.Space Systems Engineering Design (SSED) This course is a three semester-credit-hour course taught on a
understanding the role of education inbuttressing divisions within classes3.While these explanations have helped to assemble conceptual components, they leave someconcepts without an answer: how we define “engineering” and how we use “gender” as acategory to understand women’s underrepresentation in engineering. In order to give an answerto these concepts we utilize the construct of “boundary-work”, which describes an ideologicalstyle found in scientists’ attempts to create a public image for science by contrasting it favorablyto non-scientific intellectual or technical activities. Alternative sets of characteristics availablefor ideological attribution to science reflect ambivalences or strains within the institution: sciencecan be made to look
for assessment. Since demographic profiles of “control” and “experimental” groupsmay be different, a demographic factor analysis would be needed to identify those demographicfactors that may contribute, in addition to a virtual experiment, to student learning enhancement.Statistical Analysis of Assessed DataThe main objective of statistical analysis is to determine if an implemented virtual experiment Page 22.1296.8contributes favorably to learning outcomes (quiz score etc.) of the “experimental” group and iflearning enhancement as reflected by increased group’s quiz mean score is statisticallysignificant. Since both group sizes were typically
tutor.” During each semester of the mentoring implementation, mentors invariably took on the role oftutors to satisfy student needs. Most documentation of these sessions alludes to more technicaldiscussions and review of concepts through concept mapping and other instructional strategies. Verylittle is actually said about any psycho-social issues (e.g. the difficulty of working and being in school,future career plans, life lessons, etc.) discussed during the meetings. It is unclear whether this situationrepresents a true challenge to the program or merely reflects the reality of what students in the programneed. It is equally unclear from the mentor documents whether this tutoring mode was more congruentwith the mentors’ range of experience
targetcourse, and John Leonard analyses student data for the College of Engineering; WendyNewstetter and Sneha Veerdagoudar Harrell do research in cognition and learning; andJanet Murray, the project manager, is a professor of digital media. Most of the studentswho have worked on the project, including Calvin Ashmore, the lead programmer andsystem designer, have been drawn from Georgia Tech’s graduate program in DigitalMedia.MaterialsInTEL Toolkit.The InTEL software was developed to support students’ capacity to learn the process ofstatics problem solving and develop more expert like habits of mind (Nasir, XXXX) overthe course of the semester. The problems developed within the toolkit reflect the GeorgiaInstitute of Technology Statics course syllabus
, and learning how to maneuver in theprogram. As they get more proficient and used to the applet, they tend to enjoy the software andmost report preferring it to the textbook. In particular, women and URMs seem to prefer thesoftware at higher rates than white males, which was one of our goals for this project13.We also conducted a grade analysis and compared course GPAs between males, females, andURMs per section (differentiating between the sections that used the software, called “Applic,”versus those which didn’t, called “Control”). This analysis was conducted for spring and fallsemesters, in 2008, 2009 and 2010, for a total of 8 Control sections and 10 Applic sections, andthe tables 2 and 3 reflect averages based on the aggregate grade data
clarity of survey items. Then the students were asked to reflect on theirunderstanding of certain items to ensure clear wording where concerns were previously raised.The feedback from the pilot resulted in the rewording of some questions to clarify some of theagree/disagree statements. From the data collected during the first survey administration, I used a combination ofscale reliability tests and factor analysis to develop sub-scales in each of the theoretical areas.After exploring inter-item reliability and correlations, I decided to employ a principle-componentanalysis (PCA) for each of the four theoretical components listed above. I chose PCA because itis useful when trying to reduce the number of data items and when trying to see how
to five with onerepresenting minimal use of materials and five representing the maximum allowed use of materials. It isimportant with younger students to have a budget cap to reduce excessive materials usage and keep your realcosts down. Page 22.1319.8An opportunity to reflect on the first design and do a redesign is important in the engineering design process.Student teams should reflect on their original design and decide what they would like to do differently; teamswrite up their second design proposal with their plan, budget, and rationale and qualify for a second round at theMaterials Store. After two design
. For our earlier, one semester proposition course (1), students rate as mostvaluable the “writing the rough draft, comments received on the rough draft, and givinga practice talk.” Rated as generally helpful were “doing a literature review; writing theproposal outline (with references); preparing the technical presentation, and classquestions after the practice talk.” These qualitative reflections indicate that continual,formative feedback for every phase of proposal construction is important. The formaldeliverables are the final paper and presentation and defense, but the greatest learning Page 22.1494.6appears to have been in the exercises and
. Page 22.1204.6Figure 2: The front panel of the KeypadSub.vi.Figure 3: The front panel of Echo.vi processing a Windows system sound file.Digital Echo Processor: The echo of a signal can be implemented by the filter whose transferfunction is H ( z ) = 1 + az − D (4). Page 22.1204.7where the parameter a represents the reflection and propagation losses such that |a| ≤ 1 and theparameter D represents round-trip travel time from the source to the reflecting medium. Figure(3) shows the front panel of Echo.vi, which implements a digital echo processor on one of theWindows system sound files.Plain Reverberator
components of main independent items item number component name item number component name 1 Cold Cathode Fluorescent Lamp 2 reflector of lamp 3 light guide panel 4 reflective sheet 5 reflecting surface of light guide panel 6 dot pattern 7 dot-density 8 emitting surface of light guide panel After transforming constitutive components into the functionality terminology in the Page 22.1101.9Table 2, we construct an optical