dc.contributor.author |
Anton Vrdoljak; University of Mostar |
|
dc.date |
2013-06-07 04:00:54 |
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dc.date.accessioned |
2013-07-15T11:42:52Z |
|
dc.date.accessioned |
2015-11-23T16:04:59Z |
|
dc.date.available |
2013-07-15T11:42:52Z |
|
dc.date.available |
2015-11-23T16:04:59Z |
|
dc.date.issued |
2013-07-15 |
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dc.identifier |
http://ecs.epoka.edu.al/index.php/bccce/bccce2011/paper/view/248 |
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dc.identifier.uri |
http://dspace.epoka.edu.al/handle/1/458 |
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dc.description.abstract |
A new and advanced visualization for polynomial regression data fit is presented. The visualization based on Flash - an advanced multimedia authoring and development environment for creating animations and interactive applications inside Web pages - willpresent a model for better understanding of curve fitting. This model ensures to engineering students, as well as other researchers, an interactive explanations which helps them to achieve some main learning goals: how the range and uncertainty and number of data points affect correlation coefficient, or how correlation coefficient and chi squared can be used to indicate how well a curve describes the data relationship. Another objective of this paper is to explore the ways to enhance motivational impact and outcomes of such Web - based learning activities. |
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dc.format |
application/pdf |
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dc.language |
en |
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dc.publisher |
International Balkans Conference on Challenges of Civil Engineering |
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dc.rights |
Authors who submit to this conference agree to the following terms:<br /> <strong>a)</strong> Authors retain copyright over their work, while allowing the conference to place this unpublished work under a <a href="http://creativecommons.org/licenses/by/3.0/">Creative Commons Attribution License</a>, which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship and its initial presentation at this conference.<br /> <strong>b)</strong> Authors are able to waive the terms of the CC license and enter into separate, additional contractual arrangements for the non-exclusive distribution and subsequent publication of this work (e.g., publish a revised version in a journal, post it to an institutional repository or publish it in a book), with an acknowledgement of its initial presentation at this conference.<br /> <strong>c)</strong> In addition, authors are encouraged to post and share their work online (e.g., in institutional repositories or on their website) at any point before and after the conference. |
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dc.source |
International Balkans Conference on Challenges of Civil Engineering; 1st International Balkans Conference on Challenges of Civil Engineering |
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dc.subject |
Visualization, Advanced Visualization Tools, Polynomial Regression, Best Data Fit Curve, Web-based learning. |
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dc.title |
Advanced Visualization for Polynomial Regression Data Fit |
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dc.type |
Peer-reviewed Paper |
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