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SIERA: Visual Analytics for Multi-dimensional Data for Learning Assessment in Educational Organisations

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Book cover Cooperative Design, Visualization, and Engineering (CDVE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9929))

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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Correspondence to Manuel J. Ibarra .

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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: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2016. Lecture Notes in Computer Science(), vol 9929. Springer, Cham. https://doi.org/10.1007/978-3-319-46771-9_36

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  • DOI: https://doi.org/10.1007/978-3-319-46771-9_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46770-2

  • Online ISBN: 978-3-319-46771-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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