Data-driven Goal Setting: Searching Optimal Badges in the Decision Forest

Goal setting is vital in learning sciences, but the scientific evaluation of optimal goals underexplored. This study proposes a novel methodological approach to determine goals. The data this comes from gamified app implemented an undergraduate accounting course at large German university. With combination decision trees and regression analyses, connected badges are evaluated. results show that initial badge set already motivated strategies led better grades on exam. However, indicate levels could be improved, additional implemented. In addition new goal levels, types also discussed. findings initially determined by instructors need evaluated offer motivational effect. used can easily transferred other sets provide further insights.