Title
A study on e-learning take-up intention from an innovation adoption perspective: A case in China
Abstract
This research aims to examine, from an innovation adoption perspective, Chinese students' intention of taking up e-learning degrees. A survey of Chinese students was conducted to reveal their perceptions concerning innovation attributes relevant to e-learning and their intentions of taking e-learning programmes provided by UK universities. Given the rapid development in e-learning and its potential impact on how learning takes place, this research argues that e-learning take-up represents adoption of an innovation in educational services, rather than just an IT technology. It therefore examined e-learning adoption using Rogers's relational model of perceived innovation attributes. Rogers's model was adapted to the e-learning context. A questionnaire survey was developed to collect data from a sample of Chinese students (n=215). Prior to final analysis the dimensionality and validity of the implementation of Rogers relational model was assessed. Findings suggested that only perceived compatibility and trialability have significant influence on e-learning adoption intention.
Year
DOI
Venue
2010
10.1016/j.compedu.2010.01.009
Computers & Education
Keywords
Field
DocType
innovation attribute,rogers relational model,e-learning adoption,take-up intention,e-learning adoption intention,chinese student,e-learning context,e-learning programme,e-learning take-up,e-learning degree,innovation adoption perspective,educational technology,questionnaire survey,electronic learning,correlation,relational model,teaching methods,innovation,pr china,distance education
Educational technology,Technology integration,Computer science,China,Knowledge management,Distance education,Pedagogy,Teaching method,Questionnaire,Relational model,Perception
Journal
Volume
Issue
ISSN
55
1
Computers & Education
Citations 
PageRank 
References 
10
0.52
19
Authors
5
Name
Order
Citations
PageRank
Yanqing Duan127728.20
Qile He2292.18
Weizhe Feng3101.19
Daoliang Li433481.09
Zetian Fu521628.48