Robust statistical techniques for educational evaluation in university technical studies: median and wilcoxon-mann-whitney (WMW) test
DOI:
https://doi.org/10.20868/abe.2024.2.5273Keywords:
Técnicas estadísticas sólidas, metodologías didácticas activas, aprendizaje basado en problemas, aprendizaje basado en proyectos, Robust statistical techniques, active didactic methodologies, problem-based learning, project-based learningAbstract
Problem Based Learning (PBL) is a teaching method that is increasingly being used in technical education. In both engineering and architecture education, PBL has been evaluated and shown to be effective in improving students' academic performance. The need to work in groups and the limitation of the number of students per PBL session require the use of robust statistical techniques in the corresponding statistical evaluation. In the present work, two robust statistical tests were applied: the median test and the Wilcoxon-Mann-Whitney (WMW) test. Using a sample of 35 students of the Master in Industrial Engineering at the University of Huelva, distributed over three academic years (2021-22, 2022-23 and 2023-24), the said tests were applied in relation to academic performance. There was an experimental group (19 students) and a control group (16 students). The details of the application of each test have been clarified, including the null and alternative hypotheses, the respective statistics of each test, and the case has been solved using R. It is shown that there is a significant difference in learning between the experimental group and the control group, based on median and Wilcoxon-Mann-Whitney (WMW) tests.
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