THE PROJECT-BASED APPROACH TO TRAINING FUTURE COMPUTER SCIENCE TEACHERS FOR AN APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES AS A PEDAGOGICAL TOOLS

K.V. Rozov

FULL TEXT: PDF (Rus)

Abstract

The article is devoted to the features of the implementation of a project-oriented approach to training future computer science teachers to use artificial intelligence technologies to solve problems of teaching, assessment and management of the educational process. Attention is paid to the increased focus of the scientific and pedagogical community on the use of generative artificial intelligence, which has become popular due to the availability and versatility of such systems as ChatGPT, Stable Diffusion, etc. A three-level content model of student interaction with artificial intelligence technologies as an object of study is considered. The following levels are distinguished: user, engineering and fundamental. The integration of programming and tools for implementing artificial intelligence algorithms in the process of training future computer science teachers is proposed with an emphasis on the engineering level, which allows students to use ready-made artificial intelligence algorithms to create their own educational projects – potentially useful applications in the educational environment. Examples of such applications are presented.

Key words

Artificial intelligence technologies, generative artificial intelligence, programming, project activities, practice-oriented training, professional training, future computer science teacher.

Received: 10/26/2024; accepted for publication: 11/05/2024.

For citation:

________________________________________

Rozov K.V. The project-based approach to training future computer science teachers for an application of artificial intelligence technologies as a pedagogical tools. Electronic scientific and methodological journal “Pedagogy of computer science”. 2024;1-2. Http://pcs.bsu.by/2024_1-2/2ru.pdf

Content is available under license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

About the authors:

K. V. Rozov
Novosibirsk State Pedagogical University
Russia
Rozov Konstantin – Senior Lecturer, Department of Information Systems and Digital Education; Konstantin_dubrava@mail.ru
ul. Vilyuyskaya, 28; 630126, Novosibirsk, Russia
ORCID: 0000-0001-5231-8035

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