The progress of educational technology and the demand of home learning under COVID-19 have promoted the rapid development of online learning all over the world. The existing research focuses on offline learning or online learning but seldom discusses their switching process. This paper uses the questionnaire method and structural equation model to analyze the influencing factors of switching intention and behavior from offline learning to online learning. The results show that the switching intention is significantly affected by perceived usefulness, perceived ease of use, and computer self-efficacy, and negatively affected by the perceived risk. The switching intention makes a significant positive effect on switching behavior.When the learner's offline learning relationship inertia and satisfaction are higher, the relationship between switching intention and switching behavior will be weakened. At the end of the paper, some suggestions are put forward for reference for the related parties of online learning.

The irreducibility of nonnegative matrices is an important condition for the diagonal transformation algorithm to succeed. In this paper, we introduce zero symmetry to replace the irreducibility of nonnegative matrices and propose an improved diagonal transformation algorithm for finding the maximum eigenvalue without any partitioning. The improved algorithm retains all of the benefits of the diagonal transformation algorithm while having fewer computations. Numerical examples are reported to show the efficiency of the proposed algorithm. As an application, the improved algorithm is used to check whether a zero symmetric matrix is an H-matrix.