Bayesian metric and ordinal analysis of teaching to learn through the knowledge integrating project

Abstract:

The knowledge integrating project is part of interdisciplinary teaching, whose objective is integral training where the teacher must teach to learn. To evaluate the teacher and his methodology, Likert surveys are applied, however, his analysis by metric statistical methods can lead to errors in his interpretation. The objective was to know the perception of students regarding the knowledge integration project, for the acquisition of skills and abilities of learning to learn, and to compare Bayesian methods. Cross-sectional study, through a Likert scale survey, of students who completed the first level of instruction; the analysis using metric and ordinal Bayesian models. A significant percentage of students indicated that they had acquired aptitudes and skills of learning to learn and qualified the organization of the work method as appropriate; when comparing results between the studied methods, type I and II errors were found in the metric analysis model. The students’ perception regarding the organization and elaboration of the project with the acquisition of aptitudes and skills of learning to learn showed positive results; the use of Bayesian statistics with ordinal models is recommended for the proper interpretation of the results of questionnaires on Likert scales.

Año de publicación:

2020

Keywords:

Fuente:

google