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http://dx.doi.org/10.5392/JKCA.2022.22.08.416

Effect of User Experience of Smart Learning App on Intention to Continuous Use  

Park, Joong-Hee (연세대학교 인지과학협동과정)
Han, Kwang-Hee (연세대학교 심리학과)
Publication Information
The Journal of the Korea Contents Association / v.22, no.8, 2022 , pp. 416-434 More about this Journal
Abstract
This study, for learners using online and offline tools, understood the structural relationship of user experience of smart learning app on continuous use intention through the technology acceptance model, and classified the learning type characteristics. In addition, based on the experience of using the smart learning app, we explored ways to improve the design of the user experience design for learning tools and contents. For this purpose, the usage perception of 84 middle and high school students of the developed smart learning learning app was investigated after using it for 2 months, and the data were analyzed using the PLS structural equation technique. The main results of this study are as follows. First, system and content user experience had a significant effect on perceived usability and perceived ease of use, and the effect on continued use intention through attitude was significant. Second, there was a significant difference in the effect of system user experience on perceived usefulness in multi-group comparative analysis and gender group. In the preferred learning group, it was the path from perceived ease of use and perceived usefulness to attitude and intention to continue using that showed a significant path difference. Third, as a result of classifying the most commonly used learning types by the multidimensional scale method, the types separated into low dimensions were found to be four types: offline sync type, online sync type, ubiquitous learning type, and self-direct learning type.
Keywords
Smart Learning; Technology Acceptance Model (TAM); System User Experience (SUX); Content User Experience (CUX); PLS-SEM; Multidimensional Scaling (MDS);
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Times Cited By KSCI : 6  (Citation Analysis)
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