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Investigating the structural relationship among perceived innovation attributes, intention to use and actual use of mobile learning in an online university in South Korea
Author(s) -
Young Ju Joo,
Kyu Yon Lim,
Eugene Lim
Publication year - 2014
Publication title -
australasian journal of educational technology
Language(s) - English
Resource type - Journals
eISSN - 1449-5554
pISSN - 1449-3098
DOI - 10.14742/ajet.681
Subject(s) - structural equation modeling , observability , psychology , mathematics education , knowledge management , computer science , mathematics , machine learning
The purpose of this study was to investigate the effect of perceived attributes of innovation, that is, relative advantage, compatibility, complexity, trialability and observability on learners’ use of mobile learning. Specifically, this study employed structural equation modeling in order to examine the causal relationships among perceived attributes of innovation, learners’ intention to use mobile learning and the actual use of mobile learning. Analysis of 200 college student respondents who registered for a course offered by an online university in South Korea revealed that relative advantage and complexity had significant effects on the intention to use mobile learning, whereas trialability and observability did not. Further, the intention to use mobile learning had a direct positive effect on learners’ actual use of mobile learning.

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