This article examines the impact of artificial intelligence on the management of the educational process in vocational education organizations. The aim of the research is to develop criteria for evaluating the results of using artificial intelligence in the management of the educational process within vocational education organizations. The relevance of this article lies in identifying key criteria that allow for an objective assessment of the results of artificial intelligence use in vocational education organizations. This will enable vocational education organizations to effectively manage the implementation of innovations, promptly identify problems, and improve the quality of education. The subject of the research is the criteria for evaluating the impact of artificial intelligence on students' academic achievements. Thus, the study of the possibilities of using artificial intelligence to assess students' academic achievements presents a relevant scientific and practical task. A systematic review of the scientific literature was used to analyze current research. The data obtained were analyzed to identify the main trends in the development of this field, as well as to determine the most common technologies and methods. Within the framework of the research, a review of the scientific literature dedicated to the application of artificial intelligence in education was conducted. Approaches to automating the learning processes, diagnosing knowledge, and assessing results were studied. Five basic criteria for evaluating the effectiveness of artificial intelligence use were identified. The results of the research can be used by vocational education organizations to monitor and analyze the quality of AI technology implementation, as well as to develop recommendations for improving the effectiveness of digital solutions. The study developed a methodology for assessing the impact of artificial intelligence on the management of the educational process in vocational education organizations, including indicators that allow for the quantitative assessment of changes in the educational process. The proposed criteria have significant practical potential and can be used for systematic monitoring of the quality of educational activities in vocational education organizations that implement advanced technologies. The results obtained open up prospects for further research into the relationships between the use of AI and the quality of training for future specialists.
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Sergei Aleksandrovich Naumchenko
Педагогика и просвещение
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Sergei Aleksandrovich Naumchenko (Thu,) studied this question.
www.synapsesocial.com/papers/69ba430d4e9516ffd37a3ee2 — DOI: https://doi.org/10.7256/2454-0676.2026.1.78657
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