Providing two or more versions of multiple-choice exams has long been a popular strategy for reducing the opportunity for students to engage in academic dishonesty. While the results of studies comparing exam scores under different question-order conditions have been inconclusive, the potential importance of contextual cues to aid student recall…

Over the last couple of decades, there have been a large variety of approaches towards modeling student knowledge within intelligent tutoring systems. With the booming development of deep learning and large-scale artificial neural networks, there have been empirical successes in a number of machine learning and data mining applications, including…

This longitudinal study examined whether the implementation of a Spanish-English paired literacy approach provides an academic advantage to emerging bilingual students over a sequential literacy approach. The study employed a quasi-experimental design. It compared the biliteracy outcomes of third-grade emerging bilingual learners participating in…

The theoretical basis of programmed instruction and the sequential skill development approach used at University of Louisville's University College are described, and results of student testing to determine the effectiveness of programmed instruction in the school's remedial program are examined. Nine areas of basic competencies needed for college…

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…