Identification of good educational practices in schools with high added value using Big Data techniques is a project funded by the Fundación BBVA within the framework of its Leonardo Grants for Researchers and Cultural Creators (2017 call), which has a duration of 15 months (October 2017-December 2018) and the following general objective:
Identification of factors associated with performance in schools with high added value for the production of a catalogue of good educational practices and its dissemination to the community.
To achieve this final objective, 3 stages have been established:
Application of hierarchical linear models for identifying schools with high and low effectiveness based on large-scale assessment.
Application of Big Data techniques for identifying factors associated with performance in schools with high effectiveness.
Design of a catalogue of good educational practices and dissemination of the results to the educational and scientific communities.
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