The use of learningmetry in the study of probability theory and mathematical statistics at a university of economics with a point-rating system for assessing knowledge

Abstract

The paper considers the use of the learningmetry method as a tool for measuring the performance-motivation scale of the results of work on control points in a digital educational environment within the point-rating system for assessing students knowledge at a university of economics. The author have analyzed data on the results of mastering the course Probability Theory and Mathematical Statistics in the third semester of the 2021/2022 undergraduate program. Tabular and indexological stages of data analysis are carried out. The following personal and group indices were calculated: the students progress index, the students motivational activity index, the students learningmetry index by the test, the students learningmetry index; group success index, group motivational activity index, group learningmetry index. Indices of evaluation of the tests are also calculated: index of evaluation of the test, learningmetry index of the test. A feature of the work is the calculation of learningmetry indices under conditions of a different maximum number of points obtained in the assessment at different control points, as a result of which a preliminary transfer of data into a five-point evaluation system is proposed. The implementation of the presented methodology can be useful for assessing the effectiveness of students learning in mastering the course in the conditions of a point-rating system for assessing students knowledge and in a digital educational environment.