Neurotechnology and artificial intelligence as key factors in the customization of the lifelong learning route

Abstract

Artificial Intelligence (AI) technologies are being actively developed and the number of applications is growing rapidly. The education sector is no exception, which in the future can be significantly transformed using AI, for example, in terms of the development of approaches to the customization of the educational route. At the same time, the active development of neuroimaging technologies, as well as progress in neuroscience and neurotechnology, allows providing AI algorithms with important data about the functioning of the learner’s brain.The article considers the issues of customization of the lifelong learning route (CLLR) using the mentioned assistive technologies: neurotechnologies and artificial intelligence. The basic principle of functioning of the proposed CLLR is formulated: based on the analysis of recorded multimodal data about the learner algorithms based on AI propose actions to implement feedback, which will increase the efficiency and customization of the educational process.The modular principle of constructing the CLLR system is proposed, and the methods of AI that can find application as the core of an intelligent subsystem of CLLR are discussed. In conclusion, various strategies of application of the proposed CLLR system, which will allow to implement a universal system of educational decision-making support on its basis, are presented.