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A Study on Variation Technique in Courses on Scientific Computing

Maghdid, Dara LU ; Szybek, Piotr LU and Führer, Claus LU (2015) In Science Journal of Education Vol. 3(June 2015). p.60-67
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 standards, which can provide outcomes of comparable quality in scientific computing in different countries and societies. Specifically we want to gain insight which quality benchmarks are suitable for the project. The tool w

e 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 scientific computing. Earlier studies by others confirmed that variation theory offers a comprehensive set of variables characterizing... (More)
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 standards, which can provide outcomes of comparable quality in scientific computing in different countries and societies. Specifically we want to gain insight which quality benchmarks are suitable for the project. The tool w

e 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 scientific 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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to specialist publication or newspaper
publication status
published
subject
keywords
Python, Scientific Computing, Learning Quality, Teaching Culture, Programming, Variation Theory
categories
Higher Education
Popular Science
in
Science Journal of Education
volume
Vol. 3
issue
June 2015
pages
60 - 67
publisher
Science Publishing Group
ISSN
2329-0900
DOI
10.11648/j.sjedu.20150303.13
language
English
LU publication?
yes
id
8b33a9dc-bd83-4ee7-a40c-4c81fb65db6f (old id 7442697)
date added to LUP
2015-07-07 16:16:52
date last changed
2017-02-13 13:07:12
@misc{8b33a9dc-bd83-4ee7-a40c-4c81fb65db6f,
  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 standards, which can provide outcomes of comparable quality in scientific computing in different countries and societies. Specifically we want to gain insight which quality benchmarks are suitable for the project. The tool w<br/><br>
e use in teaching is a set of variation techniques.<br/><br>
The presented pilot study aims at the examination of the role variation theory for the quality of elementary courses in scientific 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 <br/><br>
interviewing students.},
  author       = {Maghdid, Dara and Szybek, Piotr and Führer, Claus},
  issn         = {2329-0900},
  keyword      = {Python,Scientific Computing,Learning Quality,Teaching Culture,Programming,Variation Theory},
  language     = {eng},
  number       = {June 2015},
  pages        = {60--67},
  publisher    = {Science Publishing Group},
  series       = {Science Journal of Education},
  title        = {A Study on Variation Technique in Courses on Scientific Computing},
  url          = {http://dx.doi.org/10.11648/j.sjedu.20150303.13},
  volume       = {Vol. 3},
  year         = {2015},
}