Dataset: Integrating Extended Reality in Early Childhood Education - Systematic mapping

This dataset accompanies the systematic mapping review on Extended Reality in Early Childhood Education. It provides the underlying data collected and analyzed during the review of 121 peer-reviewed empirical studies related to the application of Extended Reality (XR) technologies—Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR)—in early childhood education.

The dataset includes two main components:

1. Data Extraction Sheet:
   This file contains the full list of included articles, each identified by a study code. For each study, relevant metadata and thematic notes are provided, including XR modality, country of study, educational stage, developmental domain, curricular area, and thematic trends. Studies are categorized according to key dimensions used in the review, such as participant demographics, research design, and reported outcomes.

2. Quality Assessment Sheet (MMAT):
   This file documents the methodological quality appraisal conducted using an adapted version of the Mixed Methods Appraisal Tool (MMAT). For each study, the scoring across all MMAT categories is shown, along with the total score and the final inclusion decision. This provides transparency regarding the quality filtering process applied during study selection.

The dataset is intended to support research transparency, replication, and future meta-analyses. It may be of interest to researchers, educators, and policymakers working in the fields of educational technology, early childhood education, and systematic evidence synthesis.