| Issue |
E3S Web Conf.
Volume 258, 2021
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2021)
|
|
|---|---|---|
| Article Number | 10002 | |
| Number of page(s) | 10 | |
| Section | Training Personnel for Agricultural Industry | |
| DOI | https://doi.org/10.1051/e3sconf/202125810002 | |
| Published online | 20 May 2021 | |
Informatization of teaching based on interdisciplinary connections of robotics with other subjects
1 Eurasian National University named after L.N. Gumilyov, St. Satpayev, 1, Nur-Sultan, Kazakhstan
2 National center for professional development “Orleu” Akmola region, Kokshetau, St. Abay, 71, Kazakhstan
3 The South Kazakhstan State Pedagogical University, Shymkent, St. Baytursynova, 13, Kazakhstan
4 Al-Farabi Kazakh National University, Masanchi 39/47, Almaty, Kazakhstan
* Corresponding author: qbabou@gmail.com
In this work, the results of a study regarding the methodological aspects of organizing training courses in robotics in a school educational process are presented. In the course of the study, an analysis of the problem was carried out and the conditions for the effective implementation of teaching robotics to students of a comprehensive school based on developing educational technologies, integration processes and interdisciplinary communications were identified. The process of development of the cognitive interests of students in robotics was investigated in one of the specialized lyceum of the Capital city of Kazakhstan. Based on the results of the study, the theoretical foundations of the process under study are summarized, the prerequisites for updating the problem are established, and the scientific and methodological aspects of teaching robotics in the conditions of the school educational process are considered. The results obtained are of theoretical and practical importance for modern education, the implementation of the leading ideas of educational informatization.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.