Knowledge Discovery from the Programme for International Student Assessment
Saarela, M., & Kärkkäinen, T. (2017). Knowledge Discovery from the Programme for International Student Assessment. In A. Peña-Ayala (Ed.), Learning Analytics : Fundaments, Applications, and Trends. A View of the Current State of the Art to Enhance e-Learning (pp. 229-267). Springer International Publishing. Studies in Systems, Decision and Control, 94. https://doi.org/10.1007/978-3-319-52977-6_8
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Studies in Systems, Decision and ControlEditors
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2017Copyright
© Springer International Publishing AG 2017
The Programme for International Student Assessment (PISA) is a worldwide
study that assesses the proficiencies of 15-year-old students in reading, mathematics, and
science every three years. Despite the high quality and open availability of the PISA data
sets, which call for big data learning analytics, academic research using this rich and carefully
collected data is surprisingly sparse. Our research contributes to reducing this deficit
by discovering novel knowledge from the PISA through the development and use of appropriate
methods. Since Finland has been the country of most international interest in the
PISA assessment, a relevant review of the Finnish educational system is provided. This
chapter also gives a background on learning analytics and presents findings from a novel
case study. Similar to the existing literature on learning analytics, the empirical part is
based on a student model; however, unlike in the previous literature, our model represents a
profile of a national student population. We compare Finland to other countries by hierarchically
clustering these student profiles from all the countries that participated in the latest
assessment and validating the results through statistical testing. Finally, an evaluation and
interpretation of the variables that explain the differences between the students in Finland
and those of the remaining PISA countries is presented. Based on our analysis, we conclude
that, in global terms, learning time and good student-teacher relations are not as important
as collaborative skills and humility to explain students’ success in the PISA test.
...
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978-3-319-52976-9Parent publication ISBN
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Learning Analytics : Fundaments, Applications, and Trends. A View of the Current State of the Art to Enhance e-LearningISSN Search the Publication Forum
2198-4182Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/26571234
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