Classification models in the digital competence of higher education teachers based on the DigCompEdu Framework: logistic regression and segment tree

Classification models in the digital competence of higher education teachers based on the DigCompEdu Framework: logistic regression and segment tree

To promote and develop the digital competence of higher education teachers is a key aim in the 21st century. Teachers must have a leader or expert digital competence in order to prepare future school-leavers for a competent professional qualification. Therefore, the purpose of this study is to dete...

Full description

Bibliographic Details
Main Authors: Julio Cabero-Almenara, Francisco D. Guillen-Gamez, Julio Ruiz-Palmero, Antonio Palacios-Rodríguez
Format: Article
Language:English
Published: Italian e-Learning Association 2021-07-01
Series:Je-LKS : Journal of e-Learning and Knowledge Society
Subjects:
DigCompEdu
Digital Competence
Multiple Logistic Regression
Classification Trees
Research Methods
Technology
Online Access:https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1135472

Internet

https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1135472

Similar Items