Abstract

GAVIRIA-CHAVARRO, Javier; ROJAS-PADILLA, Isabel Cristina  and  VERGARA-LOPEZ, Yury. Virtual Learning Object (OAV) for Teaching and Learning Non-Parametric Statistical Methods. Rev. Fac. Cienc. Tecnol. [online]. 2023, n.54, pp.285-302.  Epub Feb 10, 2024. ISSN 0121-3814.  https://doi.org/10.17227/ted.num54-14155.

Interpreting, understanding, and applying statistical knowledge, presents, in many cases, some difficulties for students in the training process. For this reason, and thanks to the rise of information and communication technologies; a virtual object was developed for learning the statistical methods of Kruskal Wallis, Mann Whitney U and Wilcoxon, which are included in non-parametric statistics. The objective of this quasi-experimental design study was to apply the virtual object as a teaching-learning strategy for these three statistical methods after its creation and validation in order to support the training of students in biostatistics. The virtual learning object was evaluated by experts through the LORI instrument (tool that allows to evaluate learning objects based on nine variables), granting a quality level in the medium-high range according to the final weighting. The evaluation instrument and the comparative statistical analysis used in this process showed that the learning object is adequate for the purpose and objective set, concluding that there is a significant difference in the academic results of the students to whom this digital tool was applied.

Keywords : statistics; virtual learning object; Kruskal Wallis; Mann Whitney U test; Wilcoxon.

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