z-logo
open-access-imgOpen Access
Exploring the Predictive Role of E-Learning Readiness and E-Learning Style on Student Engagement
Author(s) -
Esin Ergün,
Fatma Betül Kurnaz
Publication year - 2019
Publication title -
open praxis
Language(s) - English
Resource type - Journals
eISSN - 2304-070X
pISSN - 1369-9997
DOI - 10.5944/openpraxis.12.2.1072
Subject(s) - psychology , style (visual arts) , set (abstract data type) , educational technology , cognitive style , mathematics education , sample (material) , student engagement , regression analysis , learning styles , higher education , computer science , cognition , chemistry , archaeology , chromatography , neuroscience , machine learning , political science , law , history , programming language
The aim of this study was to determine the factors predicting student engagement. The sample of the study consisted of 527 students from Karabuk University Distance Education Center. Independent variables of the study were e-learning style and online learning readiness. The data were analyzed using the stepwise multiple regression analysis. The findings revealed that students, who set a learning goal, can manage their time in line with this goal, put effort, organize their learning considering their needs, pay attention to learning situations or the learning object, prefer to work with visual elements, enjoy doing research, can remember easily and study with visuals that facilitate retrieval, prefer to work independently, take responsibility for their learning, and believe in their learning ability, have higher levels of engagement.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom