In this report, the authors identify public schools whose doors are effectively closed to poor children. These institutions--generally found in wealthy urban enclaves or well-heeled suburbs--educate many of the children of America's elite while proudly waving the "public school" flag. But they hardly embody the "common school" ideal. In fact, by…

Recent years have seen increased interest in data-driven decision making in education; that is, using various types of data, particularly quantitative assessment data, to inform a range of decisions in schools and classrooms. At the same time, districts, states, and schools have invested resources in tools designed to provide teachers, principals,…

The growing English learner student population in California faces the daunting challenge of both meeting the academic expectations of school curriculum while also learning to speak, write, read, and understand a new language. Often it is the task of school administrators to choose, plan, implement, and maintain instructional programs that best…

Knowledge discovery is a wide ranged process including data mining, which is used to find out meaningful and useful patterns in large amounts of data. In order to explore the factors having impact on the success of university students, knowledge discovery software, called MUSKUP, has been developed and tested on student data. In this system a…

Background: The involvement of school-age children in participatory research is described in the context of a school district-university partnership to prevent obesity in children. The purpose of this study was to elicit, from children in kindergarten (K) through sixth grade, perceptions of foods and activities that would inform the design of…

In this article, the authors tackle the question of whether the No Child Left Behind (NCLB) Act has affected student achievement since its enactment in 2002. They present new research that takes on the challenge of distinguishing the law's effects from the myriad other factors at work over the past eight years. The results suggest that its…

An educational priority of many nations is to enhance mathematical learning in early childhood. One area in need of special attention is that of statistics. This paper argues for a renewed focus on statistical reasoning in the beginning school years, with opportunities for children to engage in data modelling activities. Such modelling involves…

Accountability policies imply much about high school teachers' abilities and willingness to use state assessment data to improve instruction. This study asked what teacher- and school-level variables best predict how frequently teachers use state assessment data and how much instructional benefit they derive from use of data. Research has…

A major task involved in the management, analysis, and integration of qualitative data is the development of a coding schema to facilitate the analytic process. Described in this paper is the evolution of a coding schema that was used in the analysis of qualitative data generated from online forums of middle-aged women with chronic conditions who…

By focusing on one student, this case study illustrated ways that successful teachers invited success and may help other teachers create connections with students. This study chronicled one student's responses to her teachers' efforts to engage her during a teaching activity. Data from interviews, observations, and work samples showed how the…

A study was launched in an educational setting where giftedness is not officially recognized o explore intellectually gifted students' experience of family background and support, their age and means of identification, the degree of support received in school, and the understanding they experienced from a primary to a tertiary education level. In…

Background: Previous research examining the effectiveness of the Teaching Games for Understanding (TGfU) approach has been equivocal. This has been hampered by a dependence on a comparative (i.e., "which method is best?") theoretical framework. An alternative "practice-referenced" framework has the potential to examine the effectiveness of TGfU…

The current study proposes a new procedure for separately estimating slope change and level change between two adjacent phases in single-case designs. The procedure eliminates baseline trend from the whole data series before assessing treatment effectiveness. The steps necessary to obtain the estimates are presented in detail, explained, and…

Mathematics education researchers conducting instruction experiments using a design research methodology are challenged with the analysis of often complex and large amounts of qualitative data. In this paper, we present two case studies that show how multimedia analysis software can greatly support video data analysis and theory development in…

Two-year colleges play an important role in facilitating transfers to four-year institutions. This has resulted in the demand to assess how well the community college systems train students for successful transfer to four-year bachelor-granting institutions. Existing datasets on two-year college transfer rates provides inconsistent and, sometimes,…