Clustering Applied to the Education

Currently, most schools in the world use ICT, which is why students must make use of computers and mobile devices in and out of schools. Thanks to the use of technology, students are more interested and motivated to learn, considering that motivation is one of the main engines of learning, since it encourages activity and thought. On the other hand, motivation makes students spend more time working and therefore they are more likely to learn more. The aim of this paper was to present a clustering of European countries according to the number of desktop computers available to students in primary schools (ISCED 1), lower secondary schools (ISCED 2) and upper secondary schools (ISCED 3). Was used the database developed by the ES Open Data Portal for the year 2019 on "ICT in Education". For the classification were used the hierarchical clustering and K-means techniques and the statistical software Rcran 3.6.3. These techniques were used as they have the ability to group a large number of elements into clusters, based on the similarity learned. This paper concludes that the countries with the highest GDP are not the ones that have the most desktop computers in their schools. Bulgaria is the country with the major number of desktop computers in their schools

Cluster analysis · Hierarchical clustering · Information and Communications Technology · Mathematics education · Similarity (geometry · Statistical analysis · Statistics · World Wide Web · Computer Science · Mathematics · Online Learning and Analytics · Psychology · Artificial Intelligence

• Algorithm as 136

  John A Hartigan, M Anthony Wong•Applied Statistics•1979

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