Digital educational environment for training future computer science teachers in the age of artificial intelligence

Abstract

The introduction of artificial intelligence (AI) into all spheres of human life presents new challenges, particularly for the education system. The level of awareness about the work of AI and its potential conse quences (the black box of AI) remains intuitive, mainly, despite the widespread use of AI in the educational process by all its participants. It is especially relevant for future computer science teachers. They need to form deep professional competencies in the field of AI. This can be ensured through the design of a modern digital educational environment for training future computer science teachers in the AI era.
The purpose of this article is to theoretically substantiate the construction of a conceptual and predictive model of a digital educational environment for training future computer science teachers in the AI era, identifying the prerequisites and outcomes of its design, key components, and relationships.
Research methods: theoretical (analysis and synthesis of scientific sources, systematization of concepts, classification of components); complex (modeling, conceptual and predictive design). The article analyzes scientific sources and relevant publications on the topic of the study, specifying the conceptual apparatus. The analysis of the requirements for designing a digital educational environ ment for training future computer science teachers in the context of AI implementation is carried out.
The system of components of the digital educational environment is formulated and substantiated. The authors propose a conceptual and predictive model of the digital educational environment, comprising six interrelated components: spatial-architectural, technological-instrumental, administrative-security, content-methodological, axiological-ethical, and competency-based. The emphasis is on the need to develop appropriate competencies in future computer science teachers in the field of AI to overcome the problem of the black box of AI, the importance of an ethical approach to AI use, the development of critical thinking, and ensuring the human-centeredness of education in the AI era. The authors conclude that one of the practical tools for updating approaches to training future computer science teachers in the AI era is a modern digital educational environment, which requires targeted design in accordance with new academic challenges.