Exploring the differences of Finnish students in PISA 2003 and 2012 using educational data mining

Suomi on aina saanut hyviä tuloksia PISA-tutkimuksissa, mutta vuonna 2012 tulokset huononivat merkittävästi. Vuosien 2003 ja 2012 aineistoihin sovellettiin muokattua tiedonlouhinta-algoritmia nimeltään k-means++. Tuloksena saatiin kummallekin aineistolle viisi klusteria, joita vertailtiin keskenään....

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Main Author: Koskela, Anu
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Tietotekniikan laitos, Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylän yliopisto
Format: Master's thesis
Language:eng
Published: 2016
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/52277
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author Koskela, Anu
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Tietotekniikan laitos Department of Mathematical Information Technology University of Jyväskylä Jyväskylän yliopisto
author_facet Koskela, Anu Informaatioteknologian tiedekunta Faculty of Information Technology Tietotekniikan laitos Department of Mathematical Information Technology University of Jyväskylä Jyväskylän yliopisto Koskela, Anu Informaatioteknologian tiedekunta Faculty of Information Technology Tietotekniikan laitos Department of Mathematical Information Technology University of Jyväskylä Jyväskylän yliopisto
author_sort Koskela, Anu
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description Suomi on aina saanut hyviä tuloksia PISA-tutkimuksissa, mutta vuonna 2012 tulokset huononivat merkittävästi. Vuosien 2003 ja 2012 aineistoihin sovellettiin muokattua tiedonlouhinta-algoritmia nimeltään k-means++. Tuloksena saatiin kummallekin aineistolle viisi klusteria, joita vertailtiin keskenään. Huonommin pärjänneet klusterit olivat pysyneet samankaltaisina, mutta paremmin pärjänneiden klusteri oli jakautunut. Lisäksi keskiverrosti pärjänneiden klusteri oli kasvanut huomattavasti. Kaikkien klustereiden tulokset matematiikassa olivat laskeneet vuodesta 2003. Finland has always gotten good scores in PISA studies, but in 2012 the results dropped significantly. A modified version of a data mining algorithm called k-means++ was applied to 2003 and 2012 Finnish PISA data. As a result five clusters were created for both data sets and the results were compared. The clusters with lower results had remained similar but the cluster with higher scores had been divided. Additionally the medium cluster had grown significantly. The results in mathematics had dropped in all clusters since 2003.
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spellingShingle Koskela, Anu Exploring the differences of Finnish students in PISA 2003 and 2012 using educational data mining tiedonlouhinta k-means++ klusterointi PISA Tietotekniikka Mathematical Information Technology 602 klusterianalyysi PISA-tutkimus
title Exploring the differences of Finnish students in PISA 2003 and 2012 using educational data mining
title_full Exploring the differences of Finnish students in PISA 2003 and 2012 using educational data mining
title_fullStr Exploring the differences of Finnish students in PISA 2003 and 2012 using educational data mining Exploring the differences of Finnish students in PISA 2003 and 2012 using educational data mining
title_full_unstemmed Exploring the differences of Finnish students in PISA 2003 and 2012 using educational data mining Exploring the differences of Finnish students in PISA 2003 and 2012 using educational data mining
title_short Exploring the differences of Finnish students in PISA 2003 and 2012 using educational data mining
title_sort exploring the differences of finnish students in pisa 2003 and 2012 using educational data mining
title_txtP Exploring the differences of Finnish students in PISA 2003 and 2012 using educational data mining
topic tiedonlouhinta k-means++ klusterointi PISA Tietotekniikka Mathematical Information Technology 602 klusterianalyysi PISA-tutkimus
topic_facet 602 Mathematical Information Technology PISA PISA-tutkimus Tietotekniikka k-means++ klusterianalyysi klusterointi tiedonlouhinta
url https://jyx.jyu.fi/handle/123456789/52277 http://www.urn.fi/URN:NBN:fi:jyu-201612135053
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