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Big data

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Big data results from the convergence of technological and social changes that drove the digitization and datafication of everyday life. These processes laid the foundations for the massive generation of data that make up big data. Most importantly, they introduced changes in the characteristics of data, their generation, storage, processing, and ownership (Escudero Sosa, W., 2019, Big data. Breve manual para conocer la ciencia de datos que ya invadió nuestras vidas. Siglo XXI editores).

Source:
UNESCO Regional Forum on Education Policy / vol. 7 / 2023, Big data and educational planning, How chaos can reenergize a necessary too

Large heterogeneous and volatile data sets, generated rapidly from different sources, that are cross-referenced, combined and mined to find patterns and correlations, and to make novel inferences. The analysis of big data is too complex for humans to undertake without machine algorithms.

Source:
Holmes, W., Persson, J., Chounta, I.A., Wasson, B., Dimitrova, V., Council of Europe 2019, Artificial intelligence and education. A critical view through the lens of human rights, democracy and the rule of law.

Big data is a term that is used to describe the large and continuously growing sets of data being collected by all types of organizations. (...) Big data in education can help universities and colleges transform their business models, students’ academic outcomes, and professors’ effectiveness. Additionally, insights derived from big data can help educational institutions improve their technology systems.