Analysis of Factors Influencing Continuous Usage Intention of Mobile Learning in Cyber University

Abstract

The purpose of this study is to investigate factors influencing continuous usage intention of mobile learning and suggest practical strategies to enhance learners' continuous usage intention of mobile learning. In this study, we hypothesized that system quality, information quality, service quality and personal innovativeness have a positive effect on effort expectancy and performance expectancy, which ultimately have a positive effect on continuous usage intention. In order to examine structural relationship among variables, we surveyed 279 students who took courses at W Cyber University in 2013 fall semester. After collecting data, we examined causal relationship among variables using Structural Equation Modeling. The results of this study are as follows: First, system quality and personal innovativeness significantly affect effort expectancy. Second, information quality, service quality and personal innovativeness significantly affect performance expectancy. Last of all, effort expectancy and performance expectancy significantly affect continuous usage intention of mobile learning.■ keyword :|Mobile Learning|Continuous Usage Intention|Cyber University|UTAUT|ISSM|

Examining key factors of beginner’s continuance intention in blended learning in higher education

“…In this paper, performance expectancy denotes students’ beliefs regarding whether the use of blended learning can enhance their learning performance. Previous research on “online learning” and “mobile learning” both showed that performance expectancy was a significant determinant of users’ intention for using technology-based learning systems (Chen & Hwang, 2019 ; Joo, Ham, & Jung, 2014 ; Wang, Wu, & Wang, 2009 ). Research also indicated that students who assumed blended learning to be useful for their education would be more likely to adopt it (Tselios et al, 2011 ).…”