System for monitoring and adjusting the learning process of primary schoolchildren based on the EEG data analysis

Abstract

Introduction: Monitoring the learning process usually involves an analysis of the higher mental functions of the student: imagination, memory, thinking, attention, etc. Currently, there are wide opportunities for objective monitoring and evaluation of these characteristics based on the achievements of modern neuroscience. Analysis of the personal characteristics of the student allows to perform personalization of educational process. In this context, the approaches based on the electroencephalography analysis are particularly promising. Currently, one of the main barriers to the widespread introduction of EEG based systems in the school educational process is the lack of ready-made solutions to such systems for use in the learning process of schoolchildren, as well as scenarios for their application. Purpose: Development and initial testing of the system for monitoring and adjusting the learning process, as well as strategies for its use for primary school students. Methods: EEG analysis, wavelet analysis of recorded multichannel EEG data, analysis of changes in the energies of the main rhythms of the neural activity of the brain, the feedback provided by the system. Results: The concept and diagram of the developed system for monitoring and adjusting the learning process and the strategy for its use for elementary school students are described in detail. An increase in the efficiency of learning process with developed system was demonstrated as a consequence of feedback based on the assessment of changes in the energies of the characteristic rhythms of the student's brain activity. Practical relevance: The use of EEG systems for an objective analysis of the personal characteristics of students and the personalization of the learning process through the implementation of feedback based on the data obtained will increase the quality of the educational process and the efficiency of learning new material.