Features of The Training of Future Computer Science Teachers on Neural Networks
The structure of the content of neural networks today is one of the most popular, relevant and modern areas of human activity at the intersection of Information Technology, mathematical analysis and statistics. Currently, special topics are introduced in general education schools. However, in educational programs that train computer science teachers, individual courses related to neural networks are not embedded. Therefore, in order to improve the course and professional skills of computer science teachers in relation to the neural network, the article identifies the general conditions of use of neural networks at the world level in order to identify the features of training future computer science teachers in neural networks in leading universities in the world. The conditions and experience of teaching neural networks in leading universities in the world were analyzed.
Authors
- Nursaule Karelkhan (ORCID: https://orcid.org/0000-0001-8293-9887)
- Меруерт Серік (ORCID: https://orcid.org/0000-0002-2801-432X)
- Nurzhanar Karilkhan (ORCID: https://orcid.org/0009-0004-5804-4249)
Publication Details
- Journal
- Trudy Universiteta
- Published
- 2024-09-30
- DOI
- https://doi.org/10.52209/1609-1825_2024_3_281
- Primary Topic
- Artificial Intelligence in Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00