Algorithm for Data Collection and Processing about Learning Process on Training Complexes

In recent years, training complexes have been actively used to train personnel in ergatic systems of professional purpose and have proven to be effective in the training process organization. One of the topical problems of the use of training complexes is their adaptation to the individual parameters of the students. The adaptive training complexes can solve this problem with the help of special software and hardware for adapting and individualizing the learning process, taking into account the physical and psychological parameters of the student, his current skills and knowledge. A careful analysis of the process of teaching, learning and algorithmic processes in the subject area is required to implement this kind of training complexes. This article considers the algorithms of the modules for data collection and processing in the learning on adaptive training complexes. The structural links of data collection and processing modules with other subsystems of the training complex are scrutinized. The implementation of the modules allows solving the topical problems of collecting and analyzing data on the learning process with the possibility of summing up the training, determination of the current competencies of the student, adjusting his individual parameters, as well as determining the parameters of the learning subsystem that affect further learning.

I. Introduction

In order to increase the efficiency of the personnel of ergatic systems of professional purpose at enterprises, to reduce the risk to the life and health of employees, training complexes based on virtual or augmented reality, console simulators and various interactive training systems are actively applied [1] – [3]. In recent years, the quality of visualization of such systems is constantly growing and already allows you to develop the necessary visual memory during the development of various standard and emergency scenarios [4] – [7].