Wei-Han Tan, G., Keng-Boon Ooi, Jia-Jia Sim, & Phusavat, K. (2012). Determinants of Mobile Learning Adoption: An Empirical Analysis. Journal of Computer Information Systems, 52(3), 82–91.
Summary:
The objective of this paper is to explore how related factors influence the adoption of mobile learning in Malaysia by incorporating subjective norms and individual differences with Technology Acceptance Model (TAM). Towards this end, largely based on literature review, the authors proposed 13 hypotheses as shown in the research model below:
The authors analyzed the response from a sample of 401 respondents for a self-administered questionnaire using Multiple Regression Analysis (MRA). As a result, 8 out of 13 hypotheses were supported thus providing following conclusions:
Assessment:
The paper has adapted TAM to identify determinants for adoption of mobile learning. While results are not so surprising, lack of relationship between gender with any one of PU, SN and PEOU seems to have arisen out of sample selection. Perhaps with bigger and more representative samples, few results could have been different. One point to note that education seems to have been used to measure past experience. The authors should have given adequate explanation/reasoning for this choice.
Reflection:
This empirical research shows the way how we can validate already known determinants for adoption of educational technology such as mobile learning.
Summary:
The objective of this paper is to explore how related factors influence the adoption of mobile learning in Malaysia by incorporating subjective norms and individual differences with Technology Acceptance Model (TAM). Towards this end, largely based on literature review, the authors proposed 13 hypotheses as shown in the research model below:
- Gender has no significant relationship with Perceived Usefulness (PU), Subjective Norms (SN) and Perceived Ease of Use (PEOU).
- Age is only significant with SN and PEOU and not PU.
- There is no significant relationship between past experience behavior and PEOU apart from PU and SN.
- Like most past studies, PU, PEOU and SN, remain as one of the important predictors in the intention to adopt m-learning.
Assessment:
The paper has adapted TAM to identify determinants for adoption of mobile learning. While results are not so surprising, lack of relationship between gender with any one of PU, SN and PEOU seems to have arisen out of sample selection. Perhaps with bigger and more representative samples, few results could have been different. One point to note that education seems to have been used to measure past experience. The authors should have given adequate explanation/reasoning for this choice.
Reflection:
This empirical research shows the way how we can validate already known determinants for adoption of educational technology such as mobile learning.
No comments:
Post a Comment