Blended Training on Scientific Software: A Study on How Scientific Data are Generated

This paper presents the results of a research study on scientific software training in blended learning environments. The investigation focused on training approaches followed by scientific software users whose goal is the reliable application of such software. A key issue in current literature is...

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Autores principales:	Efrosyni-Maria Skordaki, Susan Bainbridge
Formato:	article
Lenguaje:	EN
Publicado:	Athabasca University Press 2018
Materias:	blended learning grounded theory scientific software training distance learning snowball sampling Special aspects of education LC8-6691
Acceso en línea:	https://doaj.org/article/d1d101adacbf464395b1e6e72fc81096
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id	oai:doaj.org-article:d1d101adacbf464395b1e6e72fc81096
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spelling	oai:doaj.org-article:d1d101adacbf464395b1e6e72fc810962021-12-02T19:25:21ZBlended Training on Scientific Software: A Study on How Scientific Data are Generated10.19173/irrodl.v19i2.33531492-3831https://doaj.org/article/d1d101adacbf464395b1e6e72fc810962018-05-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/3353https://doaj.org/toc/1492-3831 This paper presents the results of a research study on scientific software training in blended learning environments. The investigation focused on training approaches followed by scientific software users whose goal is the reliable application of such software. A key issue in current literature is the requirement for a theory-substantiated training framework that will support knowledge sharing among scientific software users. This study followed a grounded theory research design in a qualitative methodology. Snowball sampling as well as purposive sampling methods were employed. Input from respondents with diverse education and experience was collected and analyzed with constant comparative analysis. The scientific software training cycle that results from this research encapsulates specific aptitudes and strategies that affect the users’ in-depth understanding and professional growth regarding scientific software applications. The findings of this study indicate the importance of three key themes in designing training methods for successful application of scientific software: (a) responsibility in comprehension; (b) discipline; and (c) ability to adapt. Efrosyni-Maria SkordakiSusan BainbridgeAthabasca University Pressarticleblended learninggrounded theoryscientific softwaretrainingdistance learningsnowball samplingSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 19, Iss 2 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	blended learning grounded theory scientific software training distance learning snowball sampling Special aspects of education LC8-6691
spellingShingle	blended learning grounded theory scientific software training distance learning snowball sampling Special aspects of education LC8-6691 Efrosyni-Maria Skordaki Susan Bainbridge Blended Training on Scientific Software: A Study on How Scientific Data are Generated
description	This paper presents the results of a research study on scientific software training in blended learning environments. The investigation focused on training approaches followed by scientific software users whose goal is the reliable application of such software. A key issue in current literature is the requirement for a theory-substantiated training framework that will support knowledge sharing among scientific software users. This study followed a grounded theory research design in a qualitative methodology. Snowball sampling as well as purposive sampling methods were employed. Input from respondents with diverse education and experience was collected and analyzed with constant comparative analysis. The scientific software training cycle that results from this research encapsulates specific aptitudes and strategies that affect the users’ in-depth understanding and professional growth regarding scientific software applications. The findings of this study indicate the importance of three key themes in designing training methods for successful application of scientific software: (a) responsibility in comprehension; (b) discipline; and (c) ability to adapt.
format	article
author	Efrosyni-Maria Skordaki Susan Bainbridge
author_facet	Efrosyni-Maria Skordaki Susan Bainbridge
author_sort	Efrosyni-Maria Skordaki
title	Blended Training on Scientific Software: A Study on How Scientific Data are Generated
title_short	Blended Training on Scientific Software: A Study on How Scientific Data are Generated
title_full	Blended Training on Scientific Software: A Study on How Scientific Data are Generated
title_fullStr	Blended Training on Scientific Software: A Study on How Scientific Data are Generated
title_full_unstemmed	Blended Training on Scientific Software: A Study on How Scientific Data are Generated
title_sort	blended training on scientific software: a study on how scientific data are generated
publisher	Athabasca University Press
publishDate	2018
url	https://doaj.org/article/d1d101adacbf464395b1e6e72fc81096
work_keys_str_mv	AT efrosynimariaskordaki blendedtrainingonscientificsoftwareastudyonhowscientificdataaregenerated AT susanbainbridge blendedtrainingonscientificsoftwareastudyonhowscientificdataaregenerated
_version_	1718376588108627968

Blended Training on Scientific Software: A Study on How Scientific Data are Generated

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