student objectives and outcomes using thesame mapping process as the program objectives. Table 2 shows the results.Developing Brand IdentityAn important step in the design process was the development of brand identity. Brand identity isa reflection of a program’s mission, vision, values and competitive position. It is a mixture ofattributes, tangible and intangible, which, if executed properly creates value and influence. Italso can align internal decision making and behavior in ways that are consistent with the brandand, therefore, with the department’s mission, vision, values and competitive position. Thedevelopment of brand identity was a valuable mechanism for refining and clarifying the team’scollective vision for the program.The director of
Appendix 2. Thisallowed for a tracking of what instruments need to be administered, when this should be doneand which objectives the data would support.Instruments were identified for each goal or objective as can be seen in the evaluation chart.Qualitative instruments included reflections, focus groups, written observations and portfolios. 2Quantitative instruments were primarily Likert scale ratings measuring attitudes, confidencelevels, and satisfaction and feedback levels about project implementation.4The formative evaluation offered the opportunity to create feedback loops for ongoingimprovement in the implementation of the grant. The analysis of the formative data led to thecreation of lessons learned and, where possible, adjustments to
either ‘not met,’ ‘met,’ or ‘exceeded.’Values of ‘0,’ ‘1’ and ‘2’ are assigned to these answers to generate numerical scores. The samequestions are asked of all students and all faculty, regardless of their campus locations, andsurveys are conducted in each course at every campus each semester. The two faculty inputs are – (1) a self-reflective general assessment of his or her success inachieving each expected outcome, and (2) individual assessments of each student’s success inachieving each outcome. The first of these is intended as a benchmark to compare to students’assessment of the class’s effectiveness (see below). As part of the general assessment, facultyare also asked to identify the specific tasks, tests, projects, lab exercises
ability towork effectively on a team.The results from the four classes consistently indicate higher SAT Verbal scores andlower SAT Analytical scores for the “good” team players compared to the “poor” teamplayers. These results are suspect, however, since the SAT scores are probably the leastreliable of the input variables. Also, this result may simply be a reflection of the fact that Page 9.302.10a large fraction of the “poor” team players (40%) were Asians, who usually do well inmathematics but tend to have (English) language difficulties. Proceedings of the 2004 American Society for Engineering Education Annual Conference &Exposition
is carried out, align with a conceptual framework, reflect careful and thorough reasoning,and disclose results to encourage debate in the scientific community” (p. 6). Applying these ideasto education research is perhaps a bit more fuzzy and unclear than applying them to disciplinaryresearch in STEM fields. In order to make these applications more clear, let’s discuss some ofthe similarities and differences between engineering disciplinary research and STEM educationresearch.Engineering Research and STEM Education Research “Education is multilayered, constantly shifting, and occurs within an interaction among institutions (e.g., schools and universities), communities, and families. It is highly value laden and involves a
considerable extent according to human resource, expenses and economic re- sults,• they are guided to a result of essential extent and importance – in the light of relations to a number of people who will be affected, and to the result’s functionality (lifetime) and economic influence.,The above characteristics naturally involve special attention to reflection and awareness ofthe potential possibilities and resources in connection with human, social and technical di-mensions in a necessary interplay between innovations, development, decision and executingprocesses.The risk of a close co-operation between university and enterprises is that the studies and stu-dent groups can seem like free consultative partners and with short term solutions only
to support the students’ interaction andexploration. A human factor experiment was conducted accounting for the different educationalbackgrounds and learning styles of the students in order to achieve the highest learning effectiveness.We suggest that students without a background in CDF prefer using streamlines to vector field todisplay vector data such as flow speed. For scalar data such as product concentration, students preferusing isosurfaces to contour surfaces.There are some concerns to be addressed in the future work:♣ The engineering models are an essential part for the virtual reality model to reflect the actual fermentation process, as well as the plant process. It is necessary to work closely with the industry to ensure that
groups in engineering, students who left engineering for other majors, aswell as engineers in the workforce. As stated by a senior student, “this kind of course[is] tryingto get you to see all aspects…from concept to design to implementation and manufacturing…Ithink a grade in this course, to me, is more reflective of how you are as an engineer than a lot ofthe other courses that you take.” Comprehensive project based courses are more predictive of Page 9.85.10who will be a successful practicing engineer than courses on theory. The learning potential of “Proceedings of the 2004 American Society for Engineering Education Annual Conference
possess. Hence, the project selectionshould be determined based-on well-established criteria that reflect the senior design projectobjectives of a particular institution. A variety of robotics projects give faculty members theflexibilities desired to meet the objectives of an individual program.Administrative Issues: We now briefly discuss the administrative portion of senior designprojects. We present the method developed at USAFA in this section and share the lessonslearned in the Discussion section. At USAFA, the senior design course for the electricalengineering and the computer engineering students is a one-year, two-semester long, course. Westart the first semester with lessons to teach students hardware skills necessary to implement
institution of highereducation in Utah. (See Table 1) The data in Table 1 reflect credit bearingclasses. Table 1 STUDENTBODY PROFILE (Based on Fall Semester 2002 for SLCC* and Fall 2003 for UofU) Salt Lake Community University of College Utah Student Headcount 23,154 28,437 Male/Female 52/48% 55/45% Utah Residents 94% 90.4% Undergraduate/Graduate N/A 78.8/21.1% Percentage of White students
will be able to independently solve complex realworld problems in Software Engineering Technology as demonstrated in their senior projects.Conclusions, Reflections and the FutureThe SET Program at Eastern Washington University has been implemented and is now up andrunning. Information gathered through surveys and site visits was utilized to create an innovativeand state of the art SET Program. By using an experience-based service learning model, workingclosely with industry and the community, and applying a new recruitment and retention modelfor underrepresented students the program is poised for success. Page 9.692.13 Proceedings of the
covering the same volume of material. Instead of “covering” severalgrowth models for cells, the cluster approach allows the students to explore only one or “Proceeding of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright @ 2004, American Society for Engineering Education”two. Design tends to become focused on scheduling and sequencing issues, nottheoretical considerations of the design process or use of design software. Overallstudents learn to find “a” way and not to hear about “all the ways” of accomplishingsomething. I am convinced that the students’ comments that there was “not enoughlecture” reflected the lack of what I call the “feeling of efficiency” in learning that
payback of 3.2 years. Whenconverting the incandescent lights to fluorescent T8’s, there would be an annual savings of$1,519 with an investment cost of $170 and a payback of only 0.1 years. The T8 fluorescentbulbs are the newest generation of lighting. Previously the most efficient method of lighting wasthe T12. The declaration of T8 and T12 reflects the overall size of the fluorescent tube. The T12is a larger physical tube compared to the T8 tube; this decrease in size contributes to the overallenergy efficiency of the lighting. The proposed lighting changes are cost effective, fairly simpleto implement and provide a considerably short-term payback. In reviewing the water usage of theTeam House, it was discovered that the current water consuming
they can also be worth nothing. When youadd in bonuses, the total compensation in industry contains several factors and this is not byaccident. The theory is that when times are good your compensation increases and when timesare bad it decreases. This way, a company does not have to lay off employees in bad times andrehire-retrain them when times rebound. Academic salaries are on the other side and often table-or formula-driven. Some department heads adjust salary increases to reflect merit but many justuse a percentage based on their new budget.Your performance metric in industry is focused on results (technologies transitioned, productsshipped, etc.) and measures what you accomplished and how you contributed to the company’smission. At the
and WRA categories. Variables fromthe former categories might be influenced by the educational process and the individual, whilethose from the latter categories strongly reflect work experience. This suggests that there may becomparatively little that the education process can do to influence migration to IT as opposed toexperience in the industry -- more on this in Section 5. Since gender was not selected as a predictor variable but there is strong feeling that itshould matter, the sample was split by gender and SPSS was offered the same sets of "final" pre-dictor variables to produce a "male" and a "female" equation for each outcome measure. The re-sulting equations are shown in Table 4. The R2 values are generally in excess of 0.90
Education9. Concluding remarksIn the above, we have attempted to show how a modern electrical and computer engineeringdegree program must reflect, in a balanced fashion, the wishes and aspirations of its majorconstituencies. In order to achieve this, there must be well-defined goals and carefully specifiedoutcomes showing that those goals have been achieved. Part and parcel of this is an effective setof assessment tools, the results of which must be carefully analyzed to ensure effective remedyof weaknesses. Finally, at all times, all engineering programs, large and small, must try toinculcate, by whatever means, a personal interest in the welfare of the individual student.AcknowledgementsThe authors would like to thank faculty members of the
SI. It is interesting to note that the demographicsof the students who attend SI are reflective of the demographics of general population of thecollege. Page 9.897.8 Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright 2004, American Society for Engineering Education Figure 4: SI* vs. Non-SI Gender 100% 90% 80% 70%% of Students 60
. Figure 3 summarizes the course objectives and outcomes for the ESE course. The objectivesfocus upon the design, analysis, and development of applications that utilize both hardware andsoftware. The outcomes indicate the observable characteristics expected from students upon com-pletion of the course. To summarize, the course is intended to address quality of service issues(e.g., safety and reliability), system modeling and analysis, and application development for sys-tems that use both hardware and software components. As the development of the course progressed, a modest number of objectives and outcomeswere modified to reflect the scope of the course. The objectives and outcomes shown in Figure 3represent the final product of the course
SAT scores showed that there are numerous ways to skew the databy ignoring or excluding certain data sets from a subject pool.16 In addition, when U.S. News &World Report stopped independently calculating student to faculty ratios in 1996 and schoolsbegan self-reporting this information, ratios dropped from 12:1 to 10:1 in one year.10 This meantthat an institution of Harvard's size with approximately 7000 undergraduate students would havehad to hire 100 more faculty in just one year to have their student-to-faculty ratios change thatmuch. The actual numbers at most schools do not reflect that large of an increase in either facultyhiring or such a dramatic drop in student enrollment, which seems to be implied in the 1996-1997self-reported
more likely to have avision to persist in these fields, even if their self-confidence is not as high as that of the youngmen.The middle school years are a critical time for forming identities, some of which may be counterproductive to success in schools and others may reflect gender stereotypes. In order to promotegender equity, a 1996 report by the American Association of University Women, Girls in theMiddle, recommends that programs be developed that 1) stress role playing and activities that arenontraditional, 2) build math and science skills, 3) expose girls to role models and mentors, and 4)address girls’ developmental and intellectual needs 20. We believe that our TechGirl website willaccomplish all of these goals.As part of the process
students did not take advantage of the opportunity to meetwith their assigned mentors, which left their mentors disappointed. This reflected poorly on theprogram at a time when we were working hard to develop strong alumni relationships.Undergraduates can be excellent Teaching Assistants. Since there is no business school atHopkins, we also do not have graduate students in business available to serve as teachingassistants. We currently hire approximately 15 of our top undergraduate students each semesterto serve as teaching assistants to our adjunct faculty. These students typically assist the faculty bypreparing handouts and copying materials, grading and marking corrections and suggestions onhomework papers, and assisting students at regularly
additional relations reflect important rhetorical-didactic linksbetween multimedia objects. Third, discussed relations make possible automatic generation oftextual logical links between multimedia objects that are connected with these relations. Forexample if a piece of text is connected to an image with “image/animation A illustrates text B”relation, then the text “Refer to the following illustration” can be when the text goes before theimage on a page. Insertion of such textual fragments will augment the coherence of themultimedia objects and will make media pages more solid4.The correlation structure facilitates automatic generation of text fragments for smooth textualtransitions and there is no need to explicitly store the text fragments in the
this course graded much harder than any other course and that it also demanded more work on graded assignments than any of my other courses. • I think I know the material a lot more than my grade reflects. This was my favorite class this semester, but I currently have a C. • This course was my least favorite of my engineering courses. I always felt overwhelmed by the material and they kept piling it on. It seemed more like a chore that I didn't want to Page 8.693.9 participate in as opposed to my other engineering courses where I felt a desire to learn. I Proceedings of the 2003 American Society for
, graduationceremonies, and new jobs reduced the number of participants who actually arrived at thecompetition to 17. Throughout the practice and qualification weekend, additional hardware andcomputer realities eliminated six more participants for a total of 11 competing teams. Figure 8. Oakland University's entry running the navigation challengeThe Design Competition component of the IGVC has been sponsored by the Society ofAutomotive Engineers (SAE) for 8 of the 10 years the competition has been held. Judges for thiscompetition are chosen to reflect both commercial and military applications of intelligent vehicles.Two weeks prior to the IGVC, all 17 teams sent their technical papers to the 2002 judges forreview. The presentations and technical
reflects its usage by many disciplines (civil,electrical, environmental, mechanical, petroleum, and metallurgical engineering students).The new combined course would reduce credits hours for all these disciplines, whileproviding opportunities for students to enroll in specialized discipline-specific courses. Forexample, electrical engineering students could omit further applications courses related tofluids entirely. The fundamentals course should provide them with essential knowledge forthe Fundamental of Engineering (FE) exam. Civil and environmental engineering studentsmay elect to take the applications course in open channel flow and ground-water flow, whilemechanical engineering students might elect to take applications courses in computation
shown by the dot pattern, to and beyond Level 3 (ability) via post-licensure experience and/or education. 7. The dot pattern also indicates that additional outcomes (beyond 15) are probable after fulfilling the pre-licensure BOK.AttitudesAs stated earlier, the BOK is defined as “the knowledge, skills and attitudes necessary to becomea licensed professional engineer.” Knowledge, skills and attitudes are the essential componentsof the what dimension of the BOK. Individual experiences and review of studies8,10 prompted theBOK Committee to include attitudes in the BOK.By attitudes, the Committee means ways in which one thinks and feels in response to a fact orsituation. Attitudes reflect an individual’s values. A person’s
clarified to indicate that it refers to modeling of a design before building it (as opposed to “testing” a built final design). 2. Because the rubric did not fit all student responses well, it needed to be updated to better reflect a measure of a student’s design knowledge. For instance, initially students received 2 points for indicating that more documentation was needed for the pretest. After scoring the pilot tests, the points were split such that indicating that documentation is needed throughout the design process receives 2 points whereas merely indicating that the time spent in documentation needs to be lengthened (a less specific answer) only receives 1 point. This bottom-up adjustment was needed
them) physics concepts to situations notexplicitly covered in class or in the text. This was reflected as well in student comments whenasked about what aspects of the course they would like to see changed. Many commented thatthe exams were too difficult and indeed many did struggle on the exams. Many exam problemswere at the application level. Despite these struggles and the fact that no students receivedhigher than an A- in the course and the average grade was a B-, overall the students gave very Page 9.1145.14 Proceedings of the 2004 American Society for Engineering Education Annual Conference and Exposition
, and the iterative nature of the design experience are all reflected in these survey responses. • The students’ misconceptions suggest areas for future improvement of the software.The survey completed by the four teachers was intended primarily to provide general feedbackabout the conduct of the contest. We did, however, ask about three specific issues:What did your students learn from using the WPBD software? The teachers’ responsesgenerally paralleled those of their students, except that the teachers added three new (and equallyvaluable) learning outcomes: • Students learned the importance of teamwork. • Students gained confidence in their ability as self-directed learners. • Students gained comfort with the use of
critical to effective team functioning.35,36Management researchers who specialize in human resources have studied a personality traitcalled conscientiousness to predict employee performance. Conscientiousness reflects a tendencyto be careful, dependable, responsible and achievement-oriented. Conscientiousness does notsuffer from the race-based differences that plague other selection tools that are frequently used topredict performance. Conscientiousness has a small amount of predictive value for taskperformance and training proficiency.37,38 Conscientiousness is more strongly associated withcontextual performance,39 which is also called organizational citizenship behavior.40,41