Algorithmic Predictive Models in education use complex data points (e.g., past test scores, attendance, behavioral records, socioeconomic indicators) to forecast a student's future academic performance. These programs often times track and stream in order to place students into distinct educational pathways (e.g., gifted programs, standard tracks, vocational streams, remedial classes) based on these predictions.