In the summer of 2013, the National Council on Teacher Quality (NCTQ) issued public, highly-visible ratings of teacher education programs as part of their ambitious and controversial Teacher Prep Review. We provide the first empirical examination of NCTQ ratings, beginning with a descriptive overview of the ratings and documentation of how they…

Few teachers receive adequate preparation to provide effective individualized instruction for children with intensive early writing needs. In this article, the authors describe an attempt to close this learning gap, by developing Data-Based Instruction-Tools, Learning, and Collaborative Support (DBI-TLC), a comprehensive professional development…

The Forum Guide to Early Warning Systems provides information and best practices to help education agencies plan, develop, implement, and use an early warning system in their agency to inform interventions that improve student outcomes. The document includes a review of early warning systems and their use in education agencies and explains the…

The advent of information technology has enabled firms to collect significant amounts of data about individuals and mine the data for developing their strategies. Profiling of individuals is one common use of data collected about them. It refers to using known or inferred information to categorize the type of an individual and to tailor specific…

The purpose of this paper is to describe the process of conducting ethnographic research. Methodology definition and key characteristics are given. The stages of the research process are described including preparation, data gathering and recording, and analysis. Important issues such as reliability and validity are also discussed.

Authentic scientific data, when richly contextualized, can provide the basis for compelling learning experiences. Many undergraduate students either do not have access to primary data, or if they do, the data are so abstract that student engagement is limited. Here, we describe contextual information and data-rich, student-centered activities we…

Learning analytics has been as used a tool to improve the learning process mainly at the micro-level (courses and activities). However, another of the key promises of learning analytics research is to create tools that could help educational institutions at the meso- and macro-level to gain better insight into the inner workings of their programs…

This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies Certificate Program in 2007-2009. The data was collected through online questionnaires (Demographic Survey, Online Technologies…

In this article, the authors use an explanatory narrative of participation and transformation across two consecutive early childhood communities of practice to chronicle the evolution of a teacher leader, Michelle. This narrative illustrates how the continuity of experience spawned her development from apprentice toward an agentic teacher leader,…

The Technical Assistance Center on Social Emotional Intervention for Young Children (TACSEI) Roadmap on "Data Decision-Making and Program-Wide Implementation of the Pyramid Model" provides programs with guidance on how to collect and use data to ensure the implementation of the Pyramid Model with fidelity and decision-making that…

High school feedback reports let school and district leaders know where their students go after graduation and how well they are prepared for college and beyond. This roadmap discusses the seven key focus areas the Data Quality Campaign (DQC) recommends states work on to ensure quality implementation of high school feedback reports.

This qualitative evaluation focused on the problem of student attrition at a northern California college, its attendance policy, the policy's impact on previous students' decisions to persist in school, and on administrators' attempts to increase retention. The purpose for this study was to evaluate the participants' perceptions about their…

This article provides a systematic literature review about nonprofit and for-profit organizations using "big data" to inform performance improvement initiatives. The review of literature resulted in 4 peer-reviewed articles and an additional 33 studies covering the topic for these contexts. The review found that big data and analytics…

The aim of this study is to determine the new trends concerning curricula and instruction. The articles that are published in journals of SSCI and ERIC databases are taken into the scope of this study. The new trends regarding relevant literature are tried to be identified by analysing 3079 articles in total through the content analysis method.…

We know that students cannot learn if they are not in school, and that students with economic challenges miss school more frequently than other students. What obstacles create this attendance gap, and how can school districts provide the supports to improve attendance for these students? The authors of this article, who work with the Texas…