Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

Non-Governmental Organizations play an indispensable role in the development process in Sub-Saharan Africa. This is evident in the educational sector where most major donor organizations have increased the resources apportioned through NGOs to implement their educational programmes. However, it is sad to indicate that these interventions appear…

Building on Shulruf, Hattie and Tumen (2008), this work examines the capacity of various National Certificate in Educational Achievement (NCEA)-derived models to predict first-year performance in Biological Sciences at a New Zealand university. We compared three models: (1) the "best-80" indicator as used by several New Zealand…

In the Netherlands, national assessments at the end of primary school (Grade 6) show a decline of achievement on problems of complex or written arithmetic over the last two decades. The present study aims at contributing to an explanation of the large achievement decrease on complex division, by investigating the strategies students used in…

This study investigated the multiple factors affecting English language learners' (ELLs) low reading achievement in standardized tests by exploring the complex, hierarchical relation in student, classroom, and school levels. The data used for this study was from National Center for Educational Statistics (NCES), the reading portion of the National…

Despite numerous successes achieved by American schools in recent years, one of the remaining challenges is the large number of adolescents who lack basic literacy skills. Nearly 25 percent of 8th and 12th graders score below the basic level in reading on the National Assessment of Educational Progress and only 70 percent of all high school…

Discusses national standardized testing versus testing reform and provides an overview of the alternative assessment movement and its relationship to the school library media specialist. Highlights include criticisms of standardized testing; theoretical assumptions for alternative assessment; research and practice related to specific alternative…

The primary purpose of this project was to develop model evaluation procedures that could be applied to large educational undertakings in Indonesia. Three programs underway in Indonesia were selected for the development of evaluation models: the Textbook-Teacher Upgrading Project, the Development School Project, and the Examinations (Item Bank)…

At one of a series of hearings on H.R. 6, the Elementary and Secondary Education Amendments of 1993, several experts discussed issues related to national assessment, assessment in Chapter 1, and state efforts to develop new forms of assessment. Eleanor Chelimsky, Assistant Comptroller General for Program Evaluation and Methodology of the General…

This book takes a look at what U.S. high school seniors know about government and politics and how they learn about it. Secondary school civics courses enhance students' civic knowledge. The book is based on the 1988 National Assessment of Educational Progress (NAEP), the most extensive assessment to date of civic knowledge among youth. The depth…

More than a dozen statistical models have been developed for the purpose of cognitive diagnosis. These models are supposed to extract a much finer level of information from item responses than traditional unidimensional item response models. In this paper, a general diagnostic model (GDM) was used to analyze a set of simulated sparse data and real…