E-learning and big data analysis

This study aims to construct an e-learning and big data analysis model based on the phenomenon of Asia University. The proposed model includes perceptual learning, usage intention and usage attitude to identify key success factors of e-learning. The key success factors provide managers to predict the learning efficiency of students for further learning enhancement. The expected results include three parts. First of all, we determine the characteristics of the students with higher and lower usage. Secondly, we elicit the main function based on the behavior of students to e-learning provider for revising the moodle system. Finally, we predict the learning efficiency of students from different grades to provide corresponding support to enhance their learning efficiency.