Ethical Considerations in the Practical Application of the Unisa Socio-Critical Model of Student Success

The prediction and classification of student performance has always been a central concern within higher education institutions. It is therefore natural for higher education institutions to harvest and analyse student data to inform decisions on education provision in resource constrained South Afri...

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Autor principal:	Angelo Fynn
Formato:	article
Lenguaje:	EN
Publicado:	Athabasca University Press 2016
Materias:	learning analytics academic analytics algocracy higher education Special aspects of education LC8-6691
Acceso en línea:	https://doaj.org/article/f93b50144f4b4507959405aa92016081
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id	oai:doaj.org-article:f93b50144f4b4507959405aa92016081
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spelling	oai:doaj.org-article:f93b50144f4b4507959405aa920160812021-12-02T19:20:54ZEthical Considerations in the Practical Application of the Unisa Socio-Critical Model of Student Success10.19173/irrodl.v17i6.28121492-3831https://doaj.org/article/f93b50144f4b4507959405aa920160812016-12-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/2812https://doaj.org/toc/1492-3831The prediction and classification of student performance has always been a central concern within higher education institutions. It is therefore natural for higher education institutions to harvest and analyse student data to inform decisions on education provision in resource constrained South African environments. One of the drivers for the use of learning and academic analytics is the pressures for greater accountability in the areas of improved learning outcomes and student success. Added to this is the pressure on local government to produce well-educated populace to participate in the economy. The counter discourse in the field of big data cautions against algocracy where algorithms takeover the human process of democratic decision making. Proponents of this view argue that we run the risk of creating institutions that are beholden to algorithms predicting student success but are unsure of how they work and are too afraid to ignore their guidance. This paper aims to discuss the ethics, values, and moral arguments revolving the use of big data using a practical demonstration of learning analytics applied at Unisa. Angelo FynnAthabasca University Pressarticlelearning analyticsacademic analyticsalgocracyhigher educationSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 17, Iss 6 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	learning analytics academic analytics algocracy higher education Special aspects of education LC8-6691
spellingShingle	learning analytics academic analytics algocracy higher education Special aspects of education LC8-6691 Angelo Fynn Ethical Considerations in the Practical Application of the Unisa Socio-Critical Model of Student Success
description	The prediction and classification of student performance has always been a central concern within higher education institutions. It is therefore natural for higher education institutions to harvest and analyse student data to inform decisions on education provision in resource constrained South African environments. One of the drivers for the use of learning and academic analytics is the pressures for greater accountability in the areas of improved learning outcomes and student success. Added to this is the pressure on local government to produce well-educated populace to participate in the economy. The counter discourse in the field of big data cautions against algocracy where algorithms takeover the human process of democratic decision making. Proponents of this view argue that we run the risk of creating institutions that are beholden to algorithms predicting student success but are unsure of how they work and are too afraid to ignore their guidance. This paper aims to discuss the ethics, values, and moral arguments revolving the use of big data using a practical demonstration of learning analytics applied at Unisa.
format	article
author	Angelo Fynn
author_facet	Angelo Fynn
author_sort	Angelo Fynn
title	Ethical Considerations in the Practical Application of the Unisa Socio-Critical Model of Student Success
title_short	Ethical Considerations in the Practical Application of the Unisa Socio-Critical Model of Student Success
title_full	Ethical Considerations in the Practical Application of the Unisa Socio-Critical Model of Student Success
title_fullStr	Ethical Considerations in the Practical Application of the Unisa Socio-Critical Model of Student Success
title_full_unstemmed	Ethical Considerations in the Practical Application of the Unisa Socio-Critical Model of Student Success
title_sort	ethical considerations in the practical application of the unisa socio-critical model of student success
publisher	Athabasca University Press
publishDate	2016
url	https://doaj.org/article/f93b50144f4b4507959405aa92016081
work_keys_str_mv	AT angelofynn ethicalconsiderationsinthepracticalapplicationoftheunisasociocriticalmodelofstudentsuccess
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Ethical Considerations in the Practical Application of the Unisa Socio-Critical Model of Student Success

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