@inproceedings{259b90d42d744beca5b6bca7d7008d2e,
title = "SIERA: Improving data visualization for learning assessment in educational organisations",
abstract = "Encouraging a culture of evaluating students{\textquoteright} knowledge, makes it possible to promptly discover weaknesses in the teaching and learning process. Once weaknesses have been identified then teachers can apply methodological strategies to reverse this situation and improve the student learning process. This paper describes a proposed strategy that supports the evaluation process. We propose to use an Excel file in which the evaluator fills in the answers provided by the student, then the system processes the data to rate the assessment for each student and generates statistical reports. The data is exported to a CSV file and then uploaded into a database server using the HTTP protocol. To validate this proposal we used focus group and daily meetings with teachers and students in evaluation process in Apurimac-Peru. The results highlight that using the tool makes it possible to have information everywhere and every time.",
keywords = "Data visualization, Educational organisations, Excel VBA, Learning assessment",
author = "Ibarra, {Manuel J.} and Cristhian Serrano and Mu{\~n}oz, {Juan C.}",
note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2016.; 17th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2016 ; Conference date: 01-08-2016 Through 03-08-2016",
year = "2016",
doi = "10.1007/978-3-319-42102-5_21",
language = "English",
isbn = "9783319421018",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer New York LLC",
pages = "191--196",
editor = "Kecheng Liu and Lily Sun and Keiichi Nakata and {de Almeida Neris}, {V{\^a}nia Paula} and Baranauskas, {Maria Cecilia Calani} and Rodrigo Bonacin",
booktitle = "Socially Aware Organisations and Technologies",
}