An interdisciplinary team of researchers from the University of Jyväskylä, Finland, from the fields of Psychology, Education, and Information Technology have developed the first machine learning models that forecast upper secondary education dropout earlier than ever before. By utilizing a 13-year longitudinal dataset with onset in kindergarten age, the models predicted secondary school education dropout and retention from as early as the end of primary school (Grade 6). An interdisciplinary team of researchers from the University of Jyväskylä, Finland, from the fields of Psychology, Education, and Information Technology have developed the first machine learning models that forecast upper secondary education dropout earlier than ever before. By utilizing a 13-year longitudinal dataset with onset in kindergarten age, the models predicted secondary school education dropout and retention from as early as the end of primary school (Grade 6). Education Phys.org – latest science and technology news stories
Headlines
