Personalization and mobile characteristics affecting smart learning

초록

Due to the popularization of smartphones, there have been many studies about the use of smartphones in diverse places. In education, various ways of studying have been suggested using open courseware and smartphone applications. Among these, "smart learning" uses smart devices as study tools. Smart learning can be said to be an extension of e-learning in that it utilizes the special capabilities of smart devices. In this study, the effect of smart learning was investigated using the development of big data technology, the notion of personalization developed through the popularization of smartphones (i.e. individualization, connectivity, selected security and subdivision) and ubiquity, which is the representative characteristic of smart devices, as exogenous variables of the technology acceptance model. The final results of the survey that was conducted with 214 respondents, which was based on the designed research model, were analyzed through confirmative factor analysis and analysis of actual proof by structural equation modeling. As a result, segmentation and ubiquity were found to noticeably affect the perceived usefulness and ease of use while individualization was found to affect only ease of use. It was also shown that connectivity and selected security do not have any effect. This study has academic and practical value as a study on the factors influencing the purpose of use of smart learning.

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