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

• Published in: 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) pp. 1 - 5
• Main Authors: Obukhov, A., Sidorchuk, A, Arkhipov, A
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2019
• Subjects: adaptive training complexes; Data collection; data collection algorithm; data processing algorithm; Industrial engineering; Software; Software algorithms; Task analysis; Training; training process; Virtual reality
• DOI: 10.1109/FarEastCon.2019.8934174

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.