- Research Article
- 10.32835/2707-3092.2025.30.34-48
РОЛЬ ШТУЧНОГО ІНТЕЛЕКТУ У ПІДВИЩЕННІ ОБ’ЄКТИВНОСТІ ОЦІНЮВАННЯ ПРОФЕСІЙНОЇ ДІЯЛЬНОСТІ ПЕДАГОГІЧНИХ ПРАЦІВНИКІВ ЗАКЛАДІВ ЗАГАЛЬНОЇ СЕРЕДНЬОЇ ОСВІТИ
- May 22, 2025
- Професійна педагогіка
- Олександр Радкевич
Relevance. The objectivity of assessing the professional activities of pedagogical staff is a pressing task in modern education. This is due to dynamic changes in the organization of the educational process and increasing demands on the professional competence of pedagogical staff. Traditional methods of assessing the professional activities of pedagogical staff are often subjective and do not fully reveal their level of knowledge, skills, and abilities. In this context, artificial intelligence offers tools for a more accurate, transparent, and comprehensive assessment of the professional activities of pedagogical staff based on the analysis of data on teaching quality, their interaction with general secondary education students, and learning outcomes. Purpose. The purpose of the article is to investigate the role of artificial intelligence in enhancing the objectivity of assessing the professional activities of pedagogical staff in general secondary education institutions. Methods. The research methods included: studying scientific sources and regulatory documents concerning the use of artificial intelligence technologies in education to identify the state of research on the problem; theoretical analysis, synthesis, and generalization of views to substantiate the role of artificial intelligence in the objective assessment of the professional activities of pedagogical staff in general secondary education institutions; and generalization of findings. Results. The article substantiates the role of artificial intelligence in the objectivity of assessing the professional activities of pedagogical staff in general secondary education institutions based on the use of big data processing algorithms and comprehensive analytics, automation of the collection and analysis of quantitative and qualitative indicators of pedagogical staff's professional activities, the structure of their interaction with students, analysis of competency development dynamics, learning materials (through natural language processing), and student learning outcomes. The features of using artificial intelligence in assessing the professional activities of pedagogical staff are revealed through task personalization and the provision of individual recommendations for their further professional development. Key advantages and challenges associated with the use of artificial intelligence in assessing the professional activities of pedagogical staff in general secondary education institutions are identified. Conclusions. The study found that the use of artificial intelligence significantly enhances the objectivity, efficiency, and transparency of assessing the professional activities of pedagogical staff in general secondary education institutions, as it allows for a shift from quantitative assessment criteria to comprehensive analysis and contributes to the formation of individual trajectories for their professional growth. Successful implementation of artificial intelligence in assessing the professional activities of pedagogical staff is based on considering unified methodological approaches and standards, as well as the availability of appropriate technical infrastructure.
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