Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an…

This study of high school outcomes in the Baltimore City Public Schools builds on substantial prior research on the early warning indicators of dropping out. It sought to investigate whether the same variables that predicted a non-graduation outcome in other urban districts--attendance, behavior problems, and course failure--were also significant…

This study was undertaken to determine whether differences in characteristics exist between public school dropouts and graduates. The need for such a study is indicated by the fact that dropouts are finding it more difficult to achieve success in most life ventures. A random sampling from 304 school systems in Indiana produced twenty school…

An overview of issues and problems in identifying and predicting dropouts is presented in this Digest. The topics discussed are as follows: factors associated with dropping out; defining and calculating dropouts; problems in prediction; the usefulness of current prediction models; and suggestions for improving prediction. The recommendation is…

Several traditional approaches to studying the student dropout are outlined. They include data collection on reasons given for dropping out and characteristics of dropouts, as well as follow-up study. The use of the National Center for Higher Education Management Systems (MCHEMS) Student Flow Model (SFM) is described to show how students could be…

Improving graduation rates among U.S. elementary and secondary school students requires that one be able to detect which students are at greatest risk for dropping out. There may be a variety of social and psychological differences between those who leave and those who graduate, but there is also evidence that those who abandon school are…

A research survey using twenty student characteristic variables were used to attempt to identify potential high school dropouts from 227 ninth grade male and female students. The results indicated that droupouts can be predicted to a limited degree and have different characteristics than retainees in a vocational program. (DS)

The purpose of this study was to construct a scale to discriminate between those students who are likely to drop out of school and those who are not. The results indicate that this must be only the first of many steps. (Author)

A FIVE-YEAR LONGITUDINAL STUDY WAS CONDUCTED OF 1550 CHILDREN, 384 OF WHOM WERE INTENSIVELY STUDIED AFTER BEING IDENTIFIED BY THEIR TEACHERS AS DEMONSTRATING SOCIALLY APPROVED OR SOCIALLY DISAPPROVED BEHAVIOR. AFTER 5 YEARS, THE SOCIALLY DISRUPTIVE GROUP OF 192 STUDENTS WAS LOWER IN ACADEMIC ACHIEVEMENT AND SOCIAL ADJUSTMENT THAN THEIR APPROVED…