通过调整州和地方数据系统,从学前班到劳动力推进公平的结果
Advancing Equitable Outcomes from Pre-K through the Workforce by Aligning State & Local Data Systems
【作者】 J.B. Wogan
The COVID-19 pandemic exacerbated pre-existing inequities that changed how individuals engage with pre-K programs, schools, colleges, employers, and the world at large. Early evidence suggests the pandemic took a toll on student learning, educational attainment, employment, and physical and mental well-being, especially in communities of color and communities experiencing poverty. In recognition of the fact that better data infrastructure will be needed to shift the systems that currently produce inequitable outcomes, a growing number of states are working to modernize statewide longitudinal data systems to understand the experiences and outcomes of individuals seamlessly across pre-K, K–12, postsecondary, and workforce systems.
相关资源