Virtual training in mathematical competencies through the Khan Academy platform.

Abstract

The purpose of the article lies in the creation of virtual training courses on the Khan Academy platform, based on the results of the academic performance of students entering the first semester of University, in Mathematical skills. The methodology was non-experimental, transectional design, explanatory level and type of field. The population and sample were (189) students, with an instrument validated by five experts in the area, Likert-type scale. Based on the analysis of results, virtual training courses in mathematics were created. According to the study, it was found that 31% of the student population has a performance level of (0-35), where the student can probably read specific information. At level (36-50), 31% of the population was found, where the student is able to compare and establish relationships between presented data. At level (51-70), 19% was presented, where the student selects information, points out errors and makes different types of simple arithmetic and algebraic transformations and manipulations. Finally, at level (71-100), it was 20%, here problems are solved and justify the truth or falsity of statements that require the use of concepts of probability, algebraic properties, trigonometric relations and characteristics of real functions.