@inproceedings{50542d63d0234cc5be7fd12b8fdd6cf7,
title = "SIERA: Visual analytics for multi-dimensional data for learning assessment in educational organisations",
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{\textquoteright}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.",
keywords = "Data visualization, Excel VBA, Learning assessment, Multidimensional data, Visual analytics",
author = "Ibarra, {Manuel J.} and Cristhian Serrano and Navarro, {Angel F.}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 13th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2016 ; Conference date: 24-10-2016 Through 27-10-2016",
year = "2016",
doi = "10.1007/978-3-319-46771-9_36",
language = "English",
isbn = "9783319467702",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "283--287",
editor = "Yuhua Luo",
booktitle = "Cooperative Design, Visualization, and Engineering - 13th International Conference, CDVE 2016, Proceedings",
}