Investigating Users’ Continued Usage Intentions of Online Learning Applications

Understanding users&rsquo
continued usage intentions for online learning applications is significant for online education. In this paper, we explore a scale to measure users&rsquo
usage intentions of online learning applications and empirically investigate the factors that influence users&rsquo
continued usage intentions of online learning applications based on 275 participant data. Using the extended Technology Acceptance Model (TAM) and the Structural Equation Modelling (SEM), the results show that males or users off campus are more likely to use online learning applications
that system characteristics (SC), social influence (SI), and perceived ease of use (PEOU) positively affect the perceived usefulness (PU), with coefficients of 0.74, 0.23, and 0.04, which imply that SC is the most significant to the PU of online learning applications
that facilitating conditions (FC) and individual differences (ID) positively affect the PEOU, with coefficients of 0.72 and 0.37, which suggest that FC is more important to the PEOU of online learning applications
and that both PEOU and PU positively affect the behavioral intention (BI), with coefficients of 0.83 and 0.51, which indicate that PEOU is more influential than PU to users&rsquo
continued usage intentions of online learning applications. In particular, the output quality, perceived enjoyment, and objective usability are critical to the users&rsquo
continued usage intentions of online learning applications. This study contributes to the technology acceptance research field with a fast growing market named online learning applications. Our methods and results would benefit both academics and managers with useful suggestions for research directions and user-centered strategies for the design of online learning applications.