Mathematical Apparatus for Some Quality Indicators Assessment of a Training Webinar Using Machine Learning

Abstract

This article is the second stage of creating and researching a technology for assessing the quality of contact work at a university implemented through webinars. The mathematical support of the intelligent technology for analyzing the audio-video stream of an educational webinar recording is considered. The problem of increasing the efficiency and reliability of assessing some indicators of the quality of contact work at the Faculty of Distance Learning of SibSUTIS implemented through distance learning webinars is being solved. Machine learning methods and their implementation using standard Python modules and libraries are used for analysis. The scientific significance of the work lies in the development of new models and algorithms for intelligent analysis of audio-video streams parameterized for processing the recording of an educational event. The developed models and algorithms make it possible to increase the efficiency of the process of assessing the quality of contact work implemented through webinars.