用于非参数统计方法教学的虚拟学习对象(VLO)

Javier Gaviria-Chavarro, Isabel Cristina Rojas-Padilla, Yury Vergara-López
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引用次数: 0

摘要

在很多情况下,对统计知识的解释、理解和应用给学生在训练过程中带来了一些困难。由于这个原因,并由于信息和通信技术的兴起;为了学习非参数统计中包含的Kruskal Wallis, Mann Whitney U和Wilcoxon的统计方法,开发了一个虚拟对象。本拟实验设计研究的目的是将虚拟对象作为这三种统计方法的教学策略,在其创建和验证后应用,以支持学生的生物统计学训练。虚拟学习对象由专家通过LORI工具(允许基于九个变量评估学习对象的工具)进行评估,根据最终权重授予中高范围的质量水平。在这个过程中使用的评价工具和比较统计分析表明,学习对象是充分满足目的和目标设定的,结论是使用该数字工具的学生的学业成绩有显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual Learning Object (VLO) for Teaching and Learning Non-Parametric Statistical Methods
nterpreting, 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.
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