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…

School-related problems such as poor academic performance, truancy, frequent suspensions, and grade repeating have been identified as risk factors for adolescent behavior problems. The purpose of the current study was to examine the effect of school-related factors on violent criminality in adulthood, based on data from the National Longitudinal…

As research has suggested, success with homework tasks directly relates to overall academic achievement (Coutts, 2004). In addition, homework provides a venue for developing organizational skills that become necessary as students learn to self-manage. Thus, the importance of developing homework strategies that support both student achievement and…

This action research project report was conducted in order to increase motivation and engagement in elementary and middle school students through technology-supported learning environments. The study was conducted from August 27, 2012, through December 14, 2012 with 116 participating students in first-, fourth-, fifth- and eighth-grade classes. To…

This paper investigates the determinants and malleability of noncognitive skills. Using data on boys from the National Education Longitudinal Survey, I focus on youth behavior in the classroom as a measure of noncognitive skills. I find that student behavior during adolescence is persistent. The variation in behavior can be attributed to…