Exploring the influence of learners' personal traits and perceived course characteristics on online interaction and engagement
Author(s)
Purarjomandlangrudi, Afrooz
Chen, David
Griffith University Author(s)
Year published
2020
Metadata
Show full item recordAbstract
One of the most pressing issues in online learning systems that have contributed to the failure of online education and student dropout is the lack of interaction. Investigating and exploring the different factors that influence learners’ online interaction and engagement are crucial for e-learning success. This study proposes a research model to assess the possible impact of the student’s personal attributes and perceived course characteristics on their online interaction and engagement. The data of this study were collected by survey from 246 students who participated in online courses in one of Australia universities. ...
View more >One of the most pressing issues in online learning systems that have contributed to the failure of online education and student dropout is the lack of interaction. Investigating and exploring the different factors that influence learners’ online interaction and engagement are crucial for e-learning success. This study proposes a research model to assess the possible impact of the student’s personal attributes and perceived course characteristics on their online interaction and engagement. The data of this study were collected by survey from 246 students who participated in online courses in one of Australia universities. Partial least squares was then used as a method to test the research model and hypotheses.
View less >
View more >One of the most pressing issues in online learning systems that have contributed to the failure of online education and student dropout is the lack of interaction. Investigating and exploring the different factors that influence learners’ online interaction and engagement are crucial for e-learning success. This study proposes a research model to assess the possible impact of the student’s personal attributes and perceived course characteristics on their online interaction and engagement. The data of this study were collected by survey from 246 students who participated in online courses in one of Australia universities. Partial least squares was then used as a method to test the research model and hypotheses.
View less >
Journal Title
Educational Technology Research and Development
Note
This publication has been entered in Griffith Research Online as an advanced online version.
Subject
Specialist studies in education
Social Sciences
Education & Educational Research
Online interaction and engagement
Self-regulated learning
Communication competencies