Evaluation of a Predictive Model for the decision of Lifelong Learners to Continue or Drop Out a German Course
The necessary motivation, attitude, and anxiety along with other independent variables, like the placement test scores, influence learners’ adequate progress and successful performance in language classrooms. A machine learning model was designed by Dahman and Dag (2019) to predict adult learners’ decision to continue or drop out ESOL courses based on the input variables (motivation, attitude, anxiety, and placement test scores). This study investigated the accuracy of this model in a different setup, the decision of lifelong learners to continue or drop out a German Language course.
