Introducing robotics with computer neural network technologies to increase the interest and inventiveness of students
Serik M. Nurgaliyeva S. Balgozhina G.
2022World Institute for Engineering and Technology Education
World Transactions on Engineering and Technology Education
2022#20Issue 133 - 38 pp.
To improve students understanding of robotics and their diverse application, the authors developed a training course on robotics, where students can translate their ideas on solving global problems into reality, using the latest achievements of artificial intelligence, computer neural network technology, machine learning, space technology and microelectronics. In the development and subsequent delivery of the training course, particular attention was paid to the choice of problems that would attract students interest, and thus increase their involvement and motivation in generating and implementing their ideas. In this article, the authors present one of those ideas, where the teacher and students together created a prototype of a small spacecraft (nanosatellite), which backed up by artificial intelligence and neural networks was able to observe, find and warn about forest fires from space. This example demonstrates the key role of students interest and engagement in increasing their inventiveness.
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L.N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
L.N. Gumilyov Eurasian National University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026