Evaluation of a Predictive Model for the decision of Lifelong Learners to Continue or Drop Out a German Course

Authors

  • Moh. R. Dahman

  • Semiha Dahman

Keywords:

prediction model; german language; L2 acquisition

Abstract

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

How to Cite

Moh. R. Dahman, & Semiha Dahman. (2019). Evaluation of a Predictive Model for the decision of Lifelong Learners to Continue or Drop Out a German Course. Global Journal of Human-Social Science, 19(G11), 17–22. Retrieved from https://socialscienceresearch.org/index.php/GJHSS/article/view/3068

Evaluation of a Predictive Model for the decision of Lifelong Learners to Continue or Drop Out a German Course

Published

2019-07-15