More than 40 percent of students in California's public schools speak a language other than English at home. In the 2016-17 school year, 21 percent of all students, or more than 1.3 million, were English Learners (ELs). When former English Learners are included, the population of "ever ELs" expands to 38 percent of all K-12 students in…

This report describes research carried out over two distinct reclassification eras between the 2002-03 and 2013-14 academic years in the Los Angeles Unified (LAUSD) and San Diego Unified School Districts (SDUSD). Using student-level data and the multiple reclassification policies, the researchers are able to discern whether reclassification takes…

This document includes two technical appendices that accompany the main report, "English Learner Trajectories and Reclassification." The two appendices include: (1) Methodology; and (2) Supporting Tables and Figures. [For the full report, see ED603764.]

Amid growing debates around international assessment tools in educational policy, few have critically examined how students themselves are cast in policy tool production processes and discourse. Drawing on Stuart Hall's concept of representation, we show how higher education (HE) "students" are constructed, fixed and normalized by the…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

When lotteries are infeasible, researchers must rely on observational methods to estimate charter effectiveness at raising student test scores. Considerable attention has been paid to observational studies by the Stanford Center for Research on Education Outcomes (CREDO), which have analyzed charter performance in 27 states. However, the…

Although most assessment developers have a sense of the nature of the general student population, they often lack an understanding of the characteristics of special education students and English Language Learners (ELLs) who will participate in the assessment. The Race-to-the-Top Assessment Consortia have the rare opportunity to know who these…

We developed the Blooming Biology Tool (BBT), an assessment tool based on Bloom's Taxonomy, to assist science faculty in better aligning their assessments with their teaching activities and to help students enhance their study skills and metacognition. The work presented here shows how assessment tools, such as the BBT, can be used to guide and…

Current methods and instruments for assessing college student academic outcomes are identified and described, and possible outcome measures of NCRIPTAL's (National Center for Research to Improve Postsecondary Teaching and Learning) are suggested. Section I defines college outcomes from several perspectives, including pressures for outcome…

This study compared 4 methods (2 case history and 2 performance-based) used to classify the status of adult subjects in familial studies of developmental language disorders, involving 24 parents of children with developmental language disorders and 24 unrelated adult controls. Classification by case history found fewer affected adults than…

This policy report focuses on the tensions and dilemmas surrounding one of the most common milestones used for defining and measuring English Learners' (ELs) progress: their redesignation or reclassification from limited to fluent English proficient (FEP). Although reclassification can have important consequences for students and for the education…

The major innovation of the American Psychiatric Association's "Diagnostic and Statistical Manual III" (DSM-III) was the explicit specification of criteria for determining whether an individual's problems qualify for a particular diagnosis. However, neither the choice of child diagnostic categories in DSM-III nor the choice of criteria…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…