Evaluation of a Predictive Model for the decision of Lifelong Learners to Continue or Drop Out a German Course
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
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Published
2019-07-15
Issue
Section
License
Copyright (c) 2019 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.