A Study on Variation Technique in Courses on Scientific Computing
Science Journal of Education
Volume 3, Issue 3, June 2015, Pages: 60-67
Received: Apr. 30, 2015; Accepted: May 13, 2015; Published: Jun. 16, 2015
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Authors
Dara Maghdid, Center for Mathematical Sciences, Lund University, Lund, Sweden
Piotr Szybek, Center for Mathematical Sciences, Lund University, Lund, Sweden
Claus Führer, Center for Mathematical Sciences, Lund University, Lund, Sweden
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Abstract
The background of this study is a project aiming at assessing the quality of teaching and learning in scientific computing in different cultural settings. This, we hope will lead us to constructing stan¬dards, which can provide outcomes of comparable quality in scientific computing in different coun¬tries and societies. Specifically we want to gain insight which quality benchmarks are suitable for the project. The tool we use in teaching is a set of variation techniques. The presented pilot study aims at the examination of the role variation theory for the quality of elementary courses in scien¬tific computing. Earlier studies by others confirmed that variation theory offers a comprehensive set of variables characterizing teaching, well described and easy to follow and measure and which can result in improving teaching. The main data for this investigation was collected via interviewing students.
Keywords
Variation Theory, Programming, Teaching Culture, Learning Quality, Scientific Computing, Python
To cite this article
Dara Maghdid, Piotr Szybek, Claus Führer, A Study on Variation Technique in Courses on Scientific Computing, Science Journal of Education. Vol. 3, No. 3, 2015, pp. 60-67. doi: 10.11648/j.sjedu.20150303.13
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