In this study, we validated the "ReadFree tool", a computerised battery of 12 visual and auditory tasks developed to identify poor readers also in minority-language children (MLC). We tested the task-specific discriminant power on 142 Italian-monolingual participants (8-13 years old) divided into monolingual poor readers (N = 37) and…

Diagnostic classification models (DCMs) hold great potential for applications in summative and formative assessment by providing discrete multivariate proficiency scores that yield statistically driven classifications of students. Using data from a newly developed diagnostic arithmetic assessment that was administered to 2032 fourth-grade students…

This article assesses the association between the Title I School Improvement Grant (SIG) program's personnel replacement policy and teacher employment patterns within an urban school district. Hannan and Freeman's population ecology model allowed the authors to consider schools within districts as individual organizations nested within a larger…

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,…

This article is for practicing or aspiring school administrators. The demand for excellence in public education has lead to an emphasis on standardized test scores. This article explores the development of a professional enhancement program designed to prepare teachers to teach higher order thinking skills. Higher order thinking is the primary…

The purpose of this study was to investigate the use of English language proficiency and academic reading assessment scores to predict the future academic success of English learner (EL) students. Data from two cohorts of middle-school ELs were used to evaluate three prediction models. One cohort of students was used to develop the prediction…

Large-scale testing programs involving classification decisions typically have multiple forms available and conduct equating to ensure cut-score comparability across forms. A test developer might be interested in the extent to which an examinee who happens to take a particular form would have a consistent classification decision if he or she had…

Background: The marked degree of heterogeneity in persons with developmental dyslexia has motivated the investigation of possible subtypes. Attempts have proceeded both from theoretical models of reading and the application of unsupervised learning (clustering) methods. Previous cluster analyses of data obtained from persons with reading…

A framework for categorizing constructed-response items was developed in which items were ordered on a continuum from multiple-choice to presentation/performance according to the degree of constraint placed on the examinee's response. Two investigations were carried out to evaluate the validity of this framework. In the first investigation, 27…

The Primary Education Project (PEP) is concerned with the development and evaluation of a model of individualized education for young children suitable for implementation in American public schools at the preschool through primary grade level. It is concerned with all aspects of school functioning: curriculum, classroom organization, teacher…

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…