Export Raw Scopus Data the Integration of Artificial Intelligence in Learning for Early Childhood Education

The Export Raw Scopus Data on The Integration of Artificial Intelligence in Learning for Early Childhood Educationcontains a collection of bibliometric data extracted from the Scopus database. This dataset includes information on research publications, citation counts, author contributions, institutional affiliations, and keyword trends related to the application of artificial intelligence (AI) in early childhood education (ECE).The dataset covers studies from 2003 to 2025, providing insights into how AI has been integrated into early childhood learning environments over time. Key components of this data include:Publication Details: Title, authors, publication year, source journals, and digital object identifiers (DOI).Citation Metrics: Number of citations per article, h-index, and impact factor of sources.Author and Institutional Contributions: Leading researchers, universities, and research centers involved in AI and ECE studies.Keyword Analysis: Frequently used terms such as Artificial Intelligence, Early Childhood Education, Learning Systems, and Machine Learning, highlighting emerging research trends.Collaboration Networks: Country-wise and institutional co-authorship patterns, indicating global research collaborations.This raw Scopus export is essential for conducting bibliometric analysis, identifying research gaps, and exploring future directions in AI-driven early childhood education. It serves as a valuable resource for researchers, policymakers, and educators interested in understanding the evolution and impact of AI in early childhood learning.