Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates. This can be achieved by predicting students' academic achievement early using Educational Data Mining (EDM). This study aims to predict students' final grades and identify honorary students at…

To evaluate interim progress toward the State-identified Measurable Result (SIMR), states require access to high-quality data from local education agencies (LEAs) and early intervention service providers. In a review of 2017 Phase III State Systemic Improvement Plans (SSIP), 43 Part C states noted limitations or concerns related to data and…

Most studies on the use of digital student data adopt an ethical framework derived from human-subject research, based on the informed consent of the experimental subject. However, consent gives universities little guidance on using learning analytics as a routine part of educational provision: which purposes are legitimate and which analyses…

Many states are building systems and structures to integrate their early care and education data. Combining data from different programs and agencies that serve young children allows policymakers and program decision makers to better answer critical questions about the needs of families in their communities, as well as questions about services and…

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 "Integrated Approaches to Supporting Child Development and Improving Family Economic Security" project was conducted by Mathematica Policy Research and Northwestern University for the Office of Planning, Research and Evaluation (OPRE), in the Administration for Children and Families (ACF) at the U.S. Department of Health and Human…

Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…

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…

This document provides an overview of the critical role of fiscal data in state Part C systems. This information is intended to help state Part C lead agency staff better understand strategic fiscal policy questions, the fiscal data elements needed to address those questions, and the benefits of using these data. Fiscal data provide powerful…

The Early Learning Challenge (ELC) program awarded more than $1 billion in four-year grants to 20 States to implement comprehensive and cohesive high-quality early learning systems that support young children with high needs and their families. A key lever in making these improvements was the enhancement of States' Quality Rating and Improvement…

The purpose of this study was to describe the coaching that occurred at Head Start (HS) grantees as a result of the Early Learning Mentor Coach (ELMC) initiative. This provided a unique opportunity to describe the different dimensions of coaching within HS settings from the perspective of multiple stakeholders--administrators, coaches, and staff.…

The rural elementary principal has the ultimate responsibility for bringing all stakeholders together to focus and improve student achievement. In doing so, they must be able to provide knowledge of national, state, and local policies that influence achievement. Response to Intervention is a tiered framework for school's to provide…

Improving student performance for high-need student populations by improving the use of data in decision-making for early reading intervention programs in northwest Florida is the focus of this research to practice effort. The study is conceptually based on using a relational-feedback intervention (RFI) database model in early learning…

Authentic assessments are naturalistic methods to obtain functional, contextual information relevant to learning in routine activities. Seven focus groups were conducted with 73 practicing Part C early interventionists to gather their reports on authentic assessments. Participants reported various ways of applying authentic assessment methods,…

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…