As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it…

In this paper we present the results of an evaluation study of a development project for the introduction and use of tablet computers (iPads) at the lower secondary level in Nordlinga school, a compulsory school in Reykjavík. In the study, we assess the impact of the use of tablet computers on instruction and students' learning in grades 9 to 10,…

A quasi-experimental study designed to provide evidence of the effectiveness of the "Jamestown Reading Navigator" ("JRN") program for students in grades 9-10 was conducted in the Miami Dade Public School District (MDCSD). "Jamestown Reading Navigator" is a reading intervention program developed by McGraw-Hill…

This paper examines how controlling statistically for baseline covariates (especially pretests) improves the precision of studies that randomize schools to measure the impacts of educational interventions on student achievement. Part I of the paper introduces the concepts, issues, and options involved. Parts II and III present empirical findings…