A Study on Variation Technique in Courses on Scientific Computing

Dara Maghdid; Piotr Szybek; Claus Führer

doi:doi:10.11648/j.sjedu.20150303.13

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A Study on Variation Technique in Courses on Scientific Computing

Dara Maghdid, Piotr Szybek, Claus Führer

Published in Science Journal of Education (Volume 3, Issue 3)

Received: 30 April 2015 Accepted: 13 May 2015 Published: 16 June 2015

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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.

Published in	Science Journal of Education (Volume 3, Issue 3)
DOI	10.11648/j.sjedu.20150303.13
Page(s)	60-67
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Variation Theory, Programming, Teaching Culture, Learning Quality, Scientific Computing, Python

References

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[2]	Dennis Beach and Catarina Player-Koro: Authoritative knowledge in initial teacher education: studying the role of subject textbooks through two ethnographic studies of mathematics teacher education. Journal of Education for Teaching, 38(2): 115--125, 2012.
[3]	Shirley Booth: Learning to program: A phenomenographic perspective. PhD thesis, University of Gothenburg, 1992.
[4]	Pierre Bourdieu: The forms of capital. Readings in economic sociology, 4: 280, 2008.
[5]	Alan Bryman: Social research methods. Oxford university press, 2012.
[6]	Claus Führer, Jan-Erik Solem, and Olivier Verdier: Computing with Python. Pearson, 2013.
[7]	Kwan, T., Ng, F.P. & Chik, P. "Repetition and Variation". In Marton, F. & Morris, P. (Eds.) What Matters? Discovering critical conditions of classroom learning. Chapter 3, pp.39-58, November 2002. ACTA: Universtitatis Gothoburgensis.
[8]	Mun Ling Lo: Variation theory and the improvement of teaching and learning, Göteborg: Acta Universitatis Gothoburgensis, 2012.
[9]	Ference Marton and Paul Morris: What matters? Discovering critical differences in classroom learning, Göteborg: Acta Universitatis Gothoburgensis, 2001.
[10]	Ference Marton and Shirley Booth: Learning and awareness. The educational psychology series, Routledge, 1997.
[11]	Ference Marton, Amy B.M. Tsui, Pakey P.M. Chik, Po Yuk Ko, and Mun Ling Lo: Classroom discourse and the space of learning. Lawrence Erlbaum, 2004.
[12]	Peter Petocz and Anna Reid: On becoming a statistician - a qualitative view. International Statistical Review, 78(2):271--286, 2010.
[13]	Ulla Runesson: Beyond discourse and interaction. Variation: a critical aspect for teaching and learning mathematics. Cambridge journal of education, 35(1): 69--87, 2005.
[14]	Jarkko Suhonen, Janet Davies, Errol Thompson and Kinshuk: Applications of variation theory in computing education. Proceedings of the Seventh Baltic Sea Conference on Computing Education Research-Volume 88, 217--220. Australian Computer Society, Inc., 2007.
[15]	Lev S. Vygotsky: The collected works of L.S. Vygotsky: Volume 1: Problems of general psychology, including the volume Thinking and Speech. Springer, 1987.
[16]	Julian Williams: Use and exchange value in mathematics education: contemporary CHAT meets Bourdieu's sociology. Educational Studies in Mathematics, 80 (1-2): 57--72, 2012.

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Dara Maghdid, Piotr Szybek, Claus Führer. (2015). A Study on Variation Technique in Courses on Scientific Computing. Science Journal of Education, 3(3), 60-67. https://doi.org/10.11648/j.sjedu.20150303.13

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ACS Style

Dara Maghdid; Piotr Szybek; Claus Führer. A Study on Variation Technique in Courses on Scientific Computing. Sci. J. Educ. 2015, 3(3), 60-67. doi: 10.11648/j.sjedu.20150303.13

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AMA Style

Dara Maghdid, Piotr Szybek, Claus Führer. A Study on Variation Technique in Courses on Scientific Computing. Sci J Educ. 2015;3(3):60-67. doi: 10.11648/j.sjedu.20150303.13

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@article{10.11648/j.sjedu.20150303.13,
  author = {Dara Maghdid and Piotr Szybek and Claus Führer},
  title = {A Study on Variation Technique in Courses on Scientific Computing},
  journal = {Science Journal of Education},
  volume = {3},
  number = {3},
  pages = {60-67},
  doi = {10.11648/j.sjedu.20150303.13},
  url = {https://doi.org/10.11648/j.sjedu.20150303.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjedu.20150303.13},
  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.},
 year = {2015}
}

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TY  - JOUR
T1  - A Study on Variation Technique in Courses on Scientific Computing
AU  - Dara Maghdid
AU  - Piotr Szybek
AU  - Claus Führer
Y1  - 2015/06/16
PY  - 2015
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DO  - 10.11648/j.sjedu.20150303.13
T2  - Science Journal of Education
JF  - Science Journal of Education
JO  - Science Journal of Education
SP  - 60
EP  - 67
PB  - Science Publishing Group
SN  - 2329-0897
UR  - https://doi.org/10.11648/j.sjedu.20150303.13
AB  - 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.
VL  - 3
IS  - 3
ER  -

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Author Information

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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APA Style

Dara Maghdid, Piotr Szybek, Claus Führer. (2015). A Study on Variation Technique in Courses on Scientific Computing. Science Journal of Education, 3(3), 60-67. https://doi.org/10.11648/j.sjedu.20150303.13

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ACS Style

Dara Maghdid; Piotr Szybek; Claus Führer. A Study on Variation Technique in Courses on Scientific Computing. Sci. J. Educ. 2015, 3(3), 60-67. doi: 10.11648/j.sjedu.20150303.13

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AMA Style

Dara Maghdid, Piotr Szybek, Claus Führer. A Study on Variation Technique in Courses on Scientific Computing. Sci J Educ. 2015;3(3):60-67. doi: 10.11648/j.sjedu.20150303.13

Copy | Download

@article{10.11648/j.sjedu.20150303.13,
  author = {Dara Maghdid and Piotr Szybek and Claus Führer},
  title = {A Study on Variation Technique in Courses on Scientific Computing},
  journal = {Science Journal of Education},
  volume = {3},
  number = {3},
  pages = {60-67},
  doi = {10.11648/j.sjedu.20150303.13},
  url = {https://doi.org/10.11648/j.sjedu.20150303.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjedu.20150303.13},
  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.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - A Study on Variation Technique in Courses on Scientific Computing
AU  - Dara Maghdid
AU  - Piotr Szybek
AU  - Claus Führer
Y1  - 2015/06/16
PY  - 2015
N1  - https://doi.org/10.11648/j.sjedu.20150303.13
DO  - 10.11648/j.sjedu.20150303.13
T2  - Science Journal of Education
JF  - Science Journal of Education
JO  - Science Journal of Education
SP  - 60
EP  - 67
PB  - Science Publishing Group
SN  - 2329-0897
UR  - https://doi.org/10.11648/j.sjedu.20150303.13
AB  - 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.
VL  - 3
IS  - 3
ER  -

Copy | Download