The Role of Artificial Intelligence in Integrating Pedagogical Opportunities for Developing Social Activity of Future Preschool Education Organization Educators
DOI:
https://doi.org/10.5281/zenodo.15347542Ключевые слова:
Artificial Intelligence (AI), Preschool Education, Social Activity, Pedagogical Integration, Educator Training, Adaptive Learning Systems, Virtual Reality (VR) Simulations, Emotion Recognition Technology, Natural Language Processing (NLP), Culturally Responsive Teaching, Inclusive Education, Reflective Practice, Ethical Challenges in AI, Algorithmic Bias, Human-AI Collaboration in EducationАннотация
This scientific article explores the transformative potential of Artificial Intelligence (AI) in enhancing the social
activity of future preschool educators through the integration of innovative pedagogical approaches. It examines how
AI-driven tools–such as adaptive learning systems, virtual simulations, emotion recognition technologies, and natural
language processing (NLP)–can foster essential social competencies, including communication, collaboration, emotional
regulation, and culturally responsive teaching. The article highlights empirical studies from pedagogical research,
cognitive science, and educational technology, demonstrating AI’s role in personalized training, reflective practice, and
inclusive education. Additionally, it addresses ethical challenges such as data privacy, algorithmic bias, and the balance
between AI and human mentorship, while proposing future research directions to optimize AI’s role in early childhood
educator development.
Библиографические ссылки
Dalgarno, B., & Lee, M. J. W. (2010). What are the learning affordances of 3-D virtual environments? British Journal of
Educational Technology, 41(1), 10–32.
D’Mello, S., & Graesser, A. (2012). AutoTutor and affective AutoTutor: Learning by talking with cognitively and emotionally
intelligent computers. In Conversational Agents and Natural Language Interaction: Techniques and Effective
Practices (pp. 169–187).
Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles, and research issues of Artificial
Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001.
Siemens, G., & Baker, R. S. (2012). Learning analytics and educational data mining: Towards communication and
collaboration. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, 252–254.
Загрузки
Опубликован
Выпуск
Раздел
Лицензия
Copyright (c) 2025 MAKTABGACHA VA MAKTAB TA’LIMI JURNALI
Это произведение доступно по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.
