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A Study on Finding out Barriers of Diffusion of Social Media–Assisted Learning: Focusing on the Perception of Learners Using Latent Class Analysis

机译:找出社交媒体辅助学习扩散的障碍的研究:使用潜在类分析关注学习者的感知

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Despite the increased use of social media for teaching and learning in Korea, there is very little literature on the barriers that learners perceive in social media–assisted learning. Based on this situation, the following research questions were addressed: a) Is it possible to classify Korean undergraduate students into groups according to barrier to using social media on learning? If so, are there underlying types of these barriers? b) are gender and digital literacy predictive of membership in types of barriers? For this research, data was gathered from 756 Korean undergraduate students, and I carried out latent class analysis (LCA) and multinominal logistic regression. For this, I used PROC LCA, SAS procedure. The results are following. Firstly, four different types identified based on the barriers. Secondly, gender (p<. 05) and information digital literacy (p<. 001) was predictors of latent class membership in types of barriers.
机译:尽管韩国越来越多地使用社交媒体进行教学,但关于学习者在社交媒体辅助学习中所遇到的障碍的文献很少。基于这种情况,解决了以下研究问题:a)是否可以根据在学习中使用社交媒体的障碍,将韩国大学生分为几类?如果是这样,这些障碍是否存在潜在类型? b)性别和数字素养是否可以预测障碍类型的成员资格?在这项研究中,我们从756名韩国大学生中收集了数据,并进行了潜在类别分析(LCA)和多项式Lo​​gistic回归。为此,我使用了PROC LCA,SAS程序。结果如下。首先,根据障碍确定了四种不同的类型。其次,性别(p <.05)和信息数字素养(p <.001)是障碍类型中潜在阶级成员的预测指标。

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