Data-driven approach to motivate students: a field experiment on goal-reward schemes

Abstract

Motivating students is one of the most important areas of research in education. For a long time, educators have conducted research on various forms of goals and rewards, because the motivational effect varies sharply depending on what goals they set and what rewards they provide. Based on the students' learning data, this study presented customized goals and provided financial compensation for them. And through this, we observed under which conditions the students studied the hardest. The findings of this experiment, which broke the mold of traditional educational experiments, may suggest significant insights into the rapidly expanding future online education industry.