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

Abstract

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.