The purpose of this study was to explore teachers' lived experiences in professional learning communities, conceptualized in Ohio as teacher based teams. This study was carried out against the backdrop of state policies addressed to poorly performing schools. School culture must change in failing schools. In order to change culture (Kowalski,…

Recent research in the State of Michigan has shown homelessness among children to be a key factor predicting student achievement in both rural and urban areas, yet little attention has been given, thus far, to understanding where homeless students in Michigan attend school and how their needs might differ depending on their geographic location.…

There is a growing body of research that suggests the first year of high school is a critical transition point for students. It also finds course-taking and successful completion of those courses in 9th grade to be valuable predictors of students' success in high school. The Every Student Succeeds Act (ESSA) provides states an opportunity to…

Collection and analysis of students' writing samples on a large scale is a part of the research agenda of the emerging writing analytics community that promises to deliver an unprecedented insight into characteristics of student writing. Yet with a large scale often comes variability of contexts in which the samples were produced--different…

Schools and districts continue to grapple with problems related to effectively addressing equity. Part of Center for Education Equity's (CEE's) "Exploring Equity Issues" series, this paper provides an overview of how education leaders collect and use data to address questions related to equity, identify the root causes of their problems,…

Tabular data is pervasive in the form of spreadsheets and relational databases. Although tables often describe multivariate data without explicit network semantics, it may be advantageous to explore the data modeled as a graph or network for analysis. Even when a given table design conveys some static network semantics, analysts may want to look…

A problem that has been the focus of much recent research in privacy preserving data-mining is the frequent itemset hiding (FIH) problem. Identifying itemsets that appear together frequently in customer transactions is a common task in association rule mining. Organizations that share data with business partners may consider some of the frequent…

This article reports on new statistics which show that students with disabilities and black students are most likely to be restrained or isolated in school. As part of its most recent data collection, the U.S. Department of Education's office for civil rights asked more than 72,000 public schools to report how many students were isolated or…

As expectations of the economic impact of educational attainment are soaring (Hanushek & Woessmann, 2009) and conjectures about successful national educational reforms (Mourshed, Chijioke, & Barber, 2010) are welcomed by educational policy-makers in many countries, a careful assessment of the empirical evidence for these kinds of claims is…

Graduation requirements and diploma options for students with disabilities who participate in the general assessment has been a topic of interest for many years. The recent push for all students, including those with disabilities, to leave school ready for college and career has heightened the importance of understanding what states are requiring…

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

In "English Language Learners and the New Standards," three leading scholars present a clear vision and practical suggestions for helping teachers engage ELL students in simultaneously learning subject-area content, analytical practices, and language. This process requires three important shifts in our perspective on language and…

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

What factors might be causing the low participation of women Science, Technology, Engineering and Mathematics (STEM) fields? What can be done to attract more girls and women into STEM in Asia and beyond? The report, "A Complex Formula. Girls and Women in Science, Technology, Engineering and Mathematics in Asia", answers three fundamental…

The purpose of this study is to look closely at how aspects of instructional leadership, and organizational learning affect the quality of madrasah in improving the quality of graduate the state madrasah aliyah. The experiment was conducted using a quantitative approach with descriptive and inferential methods, in inferential methods used…