Correlation analysis using teaching and learning analytics

Data analytics techniques have been gaining more space in the scientific environment with applications in various areas of knowledge, including education. This paper aims to analyse data taken from a questionnaire of the Organization for Economic Development Cooperation (OECD) given to teachers and...

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Autores principales:	P.A.N. Prestes, T.E.V. Silva, G.C. Barroso
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Learning analytics Teaching and learning analytics Correlation Educational data mining Science (General) Q1-390 Social sciences (General) H1-99
Acceso en línea:	https://doaj.org/article/aa9f8012519441629832eabd23abb4ba
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spelling	oai:doaj.org-article:aa9f8012519441629832eabd23abb4ba2021-12-02T05:03:13ZCorrelation analysis using teaching and learning analytics2405-844010.1016/j.heliyon.2021.e08435https://doaj.org/article/aa9f8012519441629832eabd23abb4ba2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S240584402102538Xhttps://doaj.org/toc/2405-8440Data analytics techniques have been gaining more space in the scientific environment with applications in various areas of knowledge, including education. This paper aims to analyse data taken from a questionnaire of the Organization for Economic Development Cooperation (OECD) given to teachers and school managers. In this questionnaire, school environment issues are assessed, specifically: school environment, professional development, school leadership, and efficient management. As a methodology, Teaching and Learning Analytics (TLA) was used, particularly correlation analysis, which enables the extraction of useful information from raw data, relating issues that interfere with the teaching and learning relationship, besides specific analysis of student learning. The results obtained about the school environment are not linear. They do not present moderate or a solid linear correlation, making it impossible to validate and integrate answers related to the statements of the themes and sub-themes chosen for this analysis. In this sense, the research found dichotomous observations that mirrored many controversies and insecurities, enabling considerations about possible school scenarios and their effective practices.P.A.N. PrestesT.E.V. SilvaG.C. BarrosoElsevierarticleLearning analyticsTeaching and learning analyticsCorrelationEducational data miningScience (General)Q1-390Social sciences (General)H1-99ENHeliyon, Vol 7, Iss 11, Pp e08435- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Learning analytics Teaching and learning analytics Correlation Educational data mining Science (General) Q1-390 Social sciences (General) H1-99
spellingShingle	Learning analytics Teaching and learning analytics Correlation Educational data mining Science (General) Q1-390 Social sciences (General) H1-99 P.A.N. Prestes T.E.V. Silva G.C. Barroso Correlation analysis using teaching and learning analytics
description	Data analytics techniques have been gaining more space in the scientific environment with applications in various areas of knowledge, including education. This paper aims to analyse data taken from a questionnaire of the Organization for Economic Development Cooperation (OECD) given to teachers and school managers. In this questionnaire, school environment issues are assessed, specifically: school environment, professional development, school leadership, and efficient management. As a methodology, Teaching and Learning Analytics (TLA) was used, particularly correlation analysis, which enables the extraction of useful information from raw data, relating issues that interfere with the teaching and learning relationship, besides specific analysis of student learning. The results obtained about the school environment are not linear. They do not present moderate or a solid linear correlation, making it impossible to validate and integrate answers related to the statements of the themes and sub-themes chosen for this analysis. In this sense, the research found dichotomous observations that mirrored many controversies and insecurities, enabling considerations about possible school scenarios and their effective practices.
format	article
author	P.A.N. Prestes T.E.V. Silva G.C. Barroso
author_facet	P.A.N. Prestes T.E.V. Silva G.C. Barroso
author_sort	P.A.N. Prestes
title	Correlation analysis using teaching and learning analytics
title_short	Correlation analysis using teaching and learning analytics
title_full	Correlation analysis using teaching and learning analytics
title_fullStr	Correlation analysis using teaching and learning analytics
title_full_unstemmed	Correlation analysis using teaching and learning analytics
title_sort	correlation analysis using teaching and learning analytics
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/aa9f8012519441629832eabd23abb4ba
work_keys_str_mv	AT panprestes correlationanalysisusingteachingandlearninganalytics AT tevsilva correlationanalysisusingteachingandlearninganalytics AT gcbarroso correlationanalysisusingteachingandlearninganalytics
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Correlation analysis using teaching and learning analytics

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