Technology For Integrating Ai-Based Digital Platforms Into The Training Of Future Computer Science Teachers

Abstract

The rapid advancement of Artificial Intelligence (AI) is fundamentally transforming the educational landscape, requiring future computer science teachers to possess high levels of digital literacy and technological competence. This paper explores the technology and methodology of utilizing AI-powered digital platforms in the professional preparation of informatics educators. The research focuses on how these platforms—ranging from adaptive learning systems and automated grading tools to AI-driven content generators—can be effectively integrated into the teaching process. The study analyzes the current state of digital platform implementation in higher pedagogical education and identifies the specific skills future teachers need to master to facilitate AI-driven instruction. The proposed technology emphasizes a transition from traditional teaching methods to a more personalized, data-driven approach where AI acts as a co-facilitator. Key components of this technology include the selection of appropriate AI tools, the development of pedagogical scenarios for their use, and the ethical considerations surrounding AI in the classroom. The findings suggest that the structured use of digital platforms not only enhances the technical proficiency of future computer science teachers but also prepares them to create innovative, interactive, and efficient learning environments for the next generation of students.