SIERA: Visual analytics for multi-dimensional data for learning assessment in educational organisations

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Abstract

Nowadays, data is produced at an incredible rate and the strategy to collect and store is increasing as faster as the strategy to analyse it. The correct analysis of these multidimensional data is very important for decision makers. Some Educational Organisations have a culture of evaluating the student’s knowledge, it makes possible to promptly discover weaknesses in the teaching and learning process. This paper describes a proposed strategy to collect multi-dimensional data and visual analytics for assessment that supports the evaluation process of educational organisations. To validate this proposal we used focus group. The proposed strategy was tested with 2677 schools and 160529 students in evaluation process in Apurimac-Peru. The test results show that teachers agree with the proposed strategy.

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Ibarra, M. J., Serrano, C., & Navarro, A. F. (2016). SIERA: Visual analytics for multi-dimensional data for learning assessment in educational organisations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9929 LNCS, pp. 283–287). Springer Verlag. https://doi.org/10.1007/978-3-319-46771-9_36

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