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A Study on Variation Technique in Courses on Scientific Computing

Maghdid, Dara LU ; Szybek, Piotr LU and Führer, Claus LU (2014) In Preprints in Mathematical Sciences
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 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 scientific computing. Earlier studies by others confirmed that variation theory offers a comprehensive set of variables characterizing teaching,... (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 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 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
; and
organization
publishing date
type
Book/Report
publication status
published
subject
keywords
python, learning quality, teaching culture, scientific computing, programming, variation theory
categories
Higher Education
in
Preprints in Mathematical Sciences
pages
10 pages
publisher
Centre for the Mathematical sciences, Lund University
report number
2014:2
external identifiers
  • other:LUTFNA-5006-2014
ISSN
1403-9338
language
English
LU publication?
yes
additional info
The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Numerical Analysis (011015004)
id
e15d5cee-c223-41ca-abfa-26e09e13d1c9 (old id 5157846)
date added to LUP
2016-04-01 13:50:22
date last changed
2021-03-26 11:37:57
@techreport{e15d5cee-c223-41ca-abfa-26e09e13d1c9,
  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 we 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 interviewing students.}},
  author       = {{Maghdid, Dara and Szybek, Piotr and Führer, Claus}},
  institution  = {{Centre for the Mathematical sciences, Lund University}},
  issn         = {{1403-9338}},
  keywords     = {{python; learning quality; teaching culture; scientific computing; programming; variation theory}},
  language     = {{eng}},
  number       = {{2014:2}},
  series       = {{Preprints in Mathematical Sciences}},
  title        = {{A Study on Variation Technique in Courses on Scientific Computing}},
  url          = {{https://lup.lub.lu.se/search/files/3617434/5157934.pdf}},
  year         = {{2014}},
}