Properly predicting students' academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint students facing challenges and provide customized educational materials suited to their specific learning needs. The reliance on teachers' experience to…

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…

At the beginning of the 2010 decade, the world of education and more specifically e-learning was revolutionized by the emergence of Massive Open Online Courses, better known by their acronym MOOC. Proposed more and more by universities and training centers around the world, MOOCs have become an undeniable asset for any student or person seeking to…

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…

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)

Primary validation of the Nor Cal questionnaire was accomplished in Phase 2 of the Nor Cal Attrition Study. The results of the primary validation were reported in the document entitled, "Phase 2 Final Report," (ED 039 879). The primary validation showed that the consortium-wide empirical validity varied from .65 to .67 depending upon whether or…