Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…

Online learning from video modeling examples, in which a human model demonstrates and explains how to perform a learning task, is an effective instructional method that is increasingly used nowadays. However, model characteristics such as gender tend to differ across videos, and the model-observer similarity hypothesis suggests that such…

The criticism of the Westinghouse-Ohio National Evaluation of Head Start is answered. (CK)

An evaluation of materials in the sequential anthropology curriculum project with regard to student learning and teacher training is presented. The project sample consisted of 2,183 students in grades 1, 2, 4, and 5. Two forms of the anthropology achievement test were administered as pretest and posttest measures to experimental and control groups…

The paper discusses an experiment in which regression analysis was used to examine predictors of information retention following a college economics course. It was hypothesized that students taught in small classes with self-instructional materials would place a higher value on basic economic concepts and retain these concepts longer than students…