Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

The present study sought to evaluate the efficacy of an interdependent group contingency program on increasing homework completion and accuracy rates in fourth grade students in an elementary school. In addition, the present study attempted to determine whether randomized reinforcement was more effective than constant reinforcement. Overall, the…

Educational policy is often developed using a top-down approach. Recently, there has been a concerted shift in policy for educators to develop programs and research proposals that evolve from "scientific" studies and focus less on their intuition, aided by professional wisdom. This article analyzes several national and international…

These proceedings contain the papers of the 11th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2014), October 25-27, 2014, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…