Students’ E-learning Take-up Intentions in Higher Education–A Case in China

| July 19, 2010

Duan, Y., He, Q., Feng, W., Li, D., & Fu, Z. (2010). A study on e-learning take-up intention from an innovation adoption perspective: A case in China. Comupters & Education, 55, 237-246.

Article Review

Duan et al’s (2010) study from an innovation adoption perspective investigates Chinese students’ intention of taking up e-learning degrees for higher education. This quantitative study draws on Roger’s (1962,2003) theoretical framework which defines the rate of adoption of innovation as the dependent variable and the attributes of innovation (relative advantage, compatibility, complexibility, trialability, and observability) as independant variables (see the following Figure 1):

The above model was modified in this study with the five attributes changed to: perceived relative advantage, perceived compatibility, perceived complexity, etc. Five hoyptheses were made to test the relationships between the modified attributes and students’ adoption. A survey was delivered to 267 participants. The survey includes over 30 items. Factor analysis and multiple linear regression were used to test the hypotheses. The results show that only items of Compatibility and Trialability are related to students’ intentions to take up e-learning study. However, while Compatibility (such as “e-learning is more suitable to my life style”) was found to have a positive relationship with students’ intention, Trialability (such as “there are opportunities to look at e-learning content before starting an e-learning course”) was found to have a negative influence.

This article can serve as a good example for designing future quantitative studies regarding perceptions and new technologies/concepts. Specifically, it can be a mentor text in the following aspects:

1. Modification of the original theoretical model

2. Factor analysis, for further refinement of the model, including the survey questions contained in the model

3. Sample selection and limitations

4. Implications for future studies

5. The way of writing up a quantitative study–data presentation, analysis, and findings

EdLab Connections

Future research studies at the edlab/library can be designed by using this theoretical model, for example, future library studies about how TC students might take up new technological tools developed by the library. By designing survey items and trying out quantitative analysis, it might better strengthen the quantitative research segment and contribute to the edlab mission of Efficiencies in Educational Research.

References
Roger, E. M. (1962). Diffusion of innovations (1st ed.). New York: The Free Press.
Roger, E. M. (2003). Diffusion of innovations (5th ed.). New York: The Free Press.