This paper deeply discusses the transformation potential of integrating Internet big data into the pre-school education model in colleges and universities. Through in-depth analysis, we studied the challenges and opportunities faced by preschool education in colleges and universities, and discussed the innovative influence of big data technology…

The middle-classes use school choice as a strategy of class reproduction and comparative advantage. In this article, we show how middle-class parental school choice strategies are spatially dependent and how schooling preferences and final choices are bounded by the social and educational characteristics of the local education market of their…

Black students comprise approximately 19% of the preschool population, yet they represent 47% of school suspensions (U.S. Department of Education 2016). Although it is posited that most teachers seek to serve all children to the best of their abilities, research indicates that many school personnel engage in implicit biases that influence their…

Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…

Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…

The long-term goal of the State Systemic Improvement Plan (SSIP) and other federal and state early intervention and early childhood education initiatives is improved child and family outcomes. States play a critical role in supporting practitioners in the use of evidence-based practices to improve child and family outcomes. When practitioners…

The population of Spanish-speaking preschoolers in the United States continues to increase and there is a significant need to develop psychometrically sound early language and literacy screening measures to accurately capture children's ability in Spanish. In this paper, we describe the innovative design and calibration process of the new…

The importance of collecting and using data for educational decision making is clear. However, little information has been gathered about the systematic collection and use of data in early childhood. The purpose of this study was to explore teacher perceptions of data collection practices in early childhood. Participants included 137 early…

Spelling is an important, but often overlooked, component of literacy instruction and development. Although it is related to other aspects of literacy, there are independent theories of spelling development as well as assessment and instructional strategies that align with these theories. This article summarizes the rationale for linking…

We investigated Early Head Start home visitors' use of evidence-based practices and the efficacy of a web-based system to support these practices. Home visitors learned to use 3 evidence-based practices: (a) frequent assessment of children's early communication for screening and progress monitoring, (b) 2 home-based language-promoting…

The Community Assessment (CA) is the collection and analysis of information on the characteristics and needs of American Indian/Alaska Native (AIAN) Head Start/Early Head Start (HS/EHS) eligible children and families in the grantee service area and the resources available to meet those needs. The primary purpose of conducting a Community…