Students with and without disabilities may be educated across various service delivery models (SDMs): general education, cotaught, pull-out, and self-contained. Still, evidence for their relative effectiveness at scale remains limited. Using longitudinal administrative data from Indiana, we measured the effect of different SDMs on test scores,…

Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…

Science educators are often among the first to use emerging technologies in the classroom and laboratory. For the technologically savvy science teacher, the handheld computer is a terrific tool. A handheld computer is a portable electronic device that helps organize (via calendars, contact lists, to-do lists) and integrate electronic data…