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…

Bullying is one type of violence that threatens a youth's well-being in schools and neighborhoods. The impacts of bullying are felt by individuals, families, schools, and society and may result in youths feeling powerless, intimidated, and humiliated by the aggressive acts of other youth(s). This document is designed as a tool to help…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…