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Research in Engineering Education Symposium 2011 - rees2009

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Universidad Politécnica de Madrid (UPM) Pág<strong>in</strong>a 90 de 957<br />

Results & Discussion<br />

Table 1: Rubric categories and codes<br />

A large number of codes emerged from the student pre and post data. At this prelim<strong>in</strong>ary<br />

stage of our study, we decided to be prudent and reta<strong>in</strong> all codes <strong>in</strong> an effort to not<br />

overlook codes that may prove <strong>in</strong> the future to provide valuable <strong>in</strong>sight <strong>in</strong>to students’ uses<br />

of models. Figure 1 displays the pre and post results. Pre-survey results identified<br />

feasibility as the most sited use of models. Over twenty percent of students also sited<br />

visualization, understand<strong>in</strong>g the solution, improvement, and test<strong>in</strong>g performance. After<br />

the model<strong>in</strong>g <strong>in</strong>tervention, student conceptions cited feasibility, visualization,<br />

understand<strong>in</strong>g the solution, and improvement less. Test<strong>in</strong>g performance <strong>in</strong>creased, while<br />

cost consideration, time management, and prediction became pert<strong>in</strong>ent. None of the<br />

rema<strong>in</strong><strong>in</strong>g categories were cited more than 17% for either the pre or post survey.<br />

Proceed<strong>in</strong>gs of <strong>Research</strong> <strong>in</strong> Eng<strong>in</strong>eer<strong>in</strong>g <strong>Education</strong> <strong>Symposium</strong> <strong>2011</strong><br />

Madrid, 4 th - 7 th October <strong>2011</strong>

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