Abstract:

The rapid development of digital technologies, artificial intelligence and modern microprocessor technology form new high requirements for the educational process. World practice shows an urgent need for the training of highly qualified personnel in technical specialties. In the field of education, there is an increasing role, importance and benefits of distance education. This work is devoted to the actual problem of effective remote personalized training in industrial equipment and controller programming based on the developed cognitive technology using the bioinspired artificial immune systems approach. A comprehensive assessment of student knowledge, forecasting and operational management of the quality of the received engineering education is carried out using modified algorithms of a unified artificial immune system [1]. Analysis of the cognitive and physiological characteristics of the student [2] allows creating an individual learning trajectory. Cognitive technology has been tested on the basis of the Kazakh-British Technical University at the Faculty of Information Technology. The simulation results were obtained using the MS Teams platform, which allows obtaining additional statistical data about students: connection duration, activity in the learning process, etc. The advantage of the proposed technology is the ability to efficiently process large data that is heterogeneous in structure, and its implementation on other platforms for various specialties.

Acknowledgement:
This research has been funded by the Science Committee of the Ministry of Education and Science of the Republic Kazakhstan (Grant No. AP09258508).

References:
[1] Samigulina G.A., Samigulina Z.I. Development of a unified artificial immune system for intelligent technology of complex industrial automation objects control in the oil and gas industry // Chapter in book: Human Centred Intelligent Systems. Proceeding of 14 Intern. Conf.: Human centered intelligent systems. Springer,KES. 2021. P. 86-96 // DOI:10.1007/978-981-16-3264-8_9.
[2] Samigulina G.A., Samigulin T.I. Development of a cognitive mnemonic scheme for an optical Smart-technology of remote learning based of Artificial Immune Systems // Computer Optics. 2021. V. 45(2). P. 286-295. DOI: 10.18287/2412-6179-CO-736.

Keywords:

Artificial intelligence, technical specialties, unified artificial immune systems, modified algorithms, MS Teams platform.