Chilean researchers used open data published by the government regarding social, geographical and educational contexts to predict student dropout.
According to the study “Big Data for public policy in education: the Chilean case”, Chilean researchers used open data published by the government regarding social, geographical and educational contexts. The study was able to predict student dropout by localising the geographical distances from houses to schools. Using 127 characteristics of students and their geographical locations, researchers created an algorithm to develop a “geography of educational opportunities”, with a detailed map of schools, access, academic results and dropout predictions. They use use mobile technology and innovative learning strategies to connect and support parents, teachers, and schools in their educational roles, ensuring every child achieves.
It beneafits the students but ignores privacy.