Data-Driven Decision Making in Early Education

Systematic data collection and analysis can transform programme quality when implemented thoughtfully and ethically in early childhood contexts. This guide presents practical approaches to gathering, interpreting, and acting on developmental, operational, and outcome data, drawing from implementation science and continuous quality improvement methodologies adapted for early learning settings.

Types of Data in Early Childhood
Ethical Data Collection with Young Children
Developmental Screening and Progress Monitoring
Operational Metrics That Matter
From Data to Actionable Insights
Building a Culture of Inquiry
Technology Tools for Data Management

Data-Driven Decision Making in Early Education

Contents