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ARTÍCULO
TITULO

School in Digital Age: How Big Data Help to Transform the Curriculum

Svetlana Nikolaevna Vachkova    
Elena Yurevna Petryaeva    
Roman B. Kupriyanov and Ruslan S. Suleymanov    

Resumen

The transition to digital society is characterised by the development of new methods and tools for big data processing. New technologies have a substantial impact on the education sector. The article represents the results of applying big data to analyse and transform the learning content of Moscow?s schools. The analysis of the school curriculum comprised the following: (a) identifying one-topic lesson scripts, (b) analysing cross-disciplinary connections between subjects, (c) verifying the compliance of the lesson script digital content to the Federal Educational Standards. The analysed material included 36,644 lesson scripts. The analysis has been conducted using specifically designed digital tools featuring data mining algorithms. The article considers the issue of applying data mining algorithms to analyse school curriculum for the improvement of its quality.

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