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 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

The state of Wisconsin has one of the highest four year graduation rates in the nation, but deep disparities among student subgroups remain. To address this the state has created the Wisconsin Dropout Early Warning System (DEWS), a predictive model of student dropout risk for students in grades six through nine. The Wisconsin DEWS is in use…

To stem the tide of students dropping out, many schools and districts are turning to early warning systems (EWS) that signal whether a student is at risk of not graduating from high school. While some research exists about establishing these systems, there is little information about the actual implementation strategies that are being used across…

Roughly defined as grades four through eight, the middle grades are a known pressure point in the educational pipeline -- a make or break period for determining future academic success. Research has shown that students who are not proficient in reading by the beginning of fourth grade are four times more likely to drop out of school. Similarly,…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…

In 2013-14, the high school graduation rate reached a record high of 82 percent (U.S. Department of Education 2015a). Despite the gains, over half a million students still drop out of high school each year (U.S. Department of Education 2015b). High schools have adopted various strategies designed to keep students who are at risk of not graduating…

This paper discusses the implementation of the Tri-Squared Test as one of many advanced statistical measures used to verify and validate the outcomes of an initial study on academic professional's perspectives on the use, success, and viability of 9th Grade Freshman Academies, Centers, and Center Models. The initial research investigation…

In longitudinal education studies, assuming that dropout and missing data occur completely at random is often unrealistic. When the probability of dropout depends on covariates and observed responses (called "missing at random" [MAR]), or on values of responses that are missing (called "informative" or "not missing at random" [NMAR]),…

This fifth annual update on America's high school dropout crisis shows that, for the first time in history, the nation has crossed the 80 percent high school graduation rate threshold and remains on pace, for the second year in a row, to meet the goal of a 90 percent high school graduation rate by the Class of 2020. This report highlights key…

Solving America's dropout crisis requires immediate, drastic action. Intractable as the dropout problem may seem, recognition of its magnitude has created an environment ripe for action. Most notably, federal regulations adopted in 2008 require states to use more accurate ways of counting dropouts and holding districts and schools more accountable…

The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…

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…

There are two parts to socialization, informal and formal. In the United States, informal lessons of socialization come from a child's primary caretaker(s). Imagine a child growing up in this informal setting only to see the world from one perspective through that unique experience. Later the child goes into a formal school setting, to realize…

Now that all 50 states and the District of Columbia are building statewide longitudinal data systems, the next step is to ensure that the information in these systems is used to improve student learning. The Data Quality Campaign (DQC) has identified 10 actions that states can take to ensure that the right data are available and accessible and…