Abstract:

The article examines the prospects of integrating artificial intelligence into the educational process of higher education institutions. Priority areas and key tasks for the development of artificial intelligence technologies are analyzed, among which the primary goal of education is to train highly qualified specialists of a new generation.

It is substantiated that artificial intelligence plays a crucial role in shaping future skills, particularly the economic competence of learners through interaction with intelligent systems, understanding the principles of machine learning, acquiring basic programming skills, as well as developing critical thinking and creativity, which are essential for creating new intelligent solutions and AI applications.

In the context of preparing future technology teachers within the system of higher pedagogical education, this involves the formation of their economic competence.

The use of artificial intelligence in this context is considered from various perspectives: individualization of learning, the creation of personalized educational programs, and the application of virtual pedagogical simulators that help learners gain practical experience and adapt more quickly to the demands of the modern system of higher pedagogical education.

The article also proposes a methodology for using AI in the formation of economic competence among future technology teachers and provides important recommendations for its effective implementation.

Additionally, the author highlights challenges related to data privacy, dependence on technology, implementation costs, unequal access, and other risks associated with the use of AI in educational activities.

The impact of artificial intelligence on the organization of educational activities, along with its opportunities and threats arising from unethical use, is analyzed. The research emphasizes the revolutionary potential of AI for the academic community while drawing attention to the ethical and practical challenges of employing this technology. Issues of academic integrity and the avoidance of plagiarism when using AI-generated information are also emphasized.

Keywords: artificial intelligence, development of economic competence, future technology teachers, higher education institution.

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