AI assistants in the practice of preschool education teachers
This work is licensed under a Сreative Commons Atribiution - NonCommercial 4.0 International (CC BY-NC 4.0)
Abstract
Background. The current stage of preschool education development is characterized by the active implementation of artificial intelligence (AI) technologies. Despite the understanding of the indispensability of personal communication between teacher and child, AI tools can optimize the professional activities of educators, freeing them from routine tasks and providing data for personalized learning. However, there is a lack of empirical data on the practical application of AI assistants directly in the work of educators in kindergarten groups.
Objective. To test and evaluate the effectiveness of integrating AI assistants into the educational process of preschool educational institutions in Kazan to personalize learning and optimize the professional activities of teachers.
Sample. The study involved 180 children aged 5 to 7 years (60 preschoolers aged 5-6 and 120 children aged 6-7), 24 teachers (educators and kindergarten specialists), and 180 parents (legal guardians of the children participating in the experiment) from six municipal kindergartens in Kazan.
Methods. The study was conducted using an experimental design and included four stages (preparatory, training, main, and evaluation). A combination of diagnostic methods was used: assessment of teachers’ digital competence (surveys and interviews), analysis of the individualization of the educational process, pedagogical assessment of children’s development (speech, cognition, socialization, emotional-volitional sphere), and parental surveys. Statistical data processing was performed using the Student’s t-test, Mann-Whitney U-test, Pearson’s c² test, variance and correlation analysis, and Cohen’s d coefficient for effect size assessment.
Results. AI assistants were integrated into the educational process of kindergartens. A significant increase in the digital competence of teachers in the experimental group was observed, and a reduction in the time teachers spent on recordkeeping was found due to the use of a digital platform with AI analytics. Statistically significant differences in the cognitive and speech development of children in the experimental group compared to the control group were found. A strong positive correlation was found between the use of robotic assistants and the development of social skills, as well as between specialized AI platforms and personalized learning. Positive trends in parental attitudes toward the implementation of AI were also recorded.
Conclusions. The integration of AI assistants allows for the optimization of educators’ work and the personalization of educational trajectories without replacing the role of the teacher. Key conditions for successful implementation include data security, technological reliability, and the critical selection of tools (taking into account the risks of commercial support, as in the case of the Moxie robot). AI assistants should not be viewed as a replacement for the teacher, but as a tool that enhances their capabilities and allows them to see the child more deeply, without replacing human warmth and understanding.
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