Lei Ye
ABSTRACT
The online learning information ecosystem gives full play to the advantages of electronic education, makes full use of educational resources, and maximizes the value of educational resources. In this paper, from the four dimensions of educators, educators, online teaching content and online teaching environment, this paper establishes 20 influencing factors for the stable operation of university network education information ecosystem. And by using the interpretive structural model method, the relationship between any two influencing factors is determined, the adjacency matrix is constructed, the reachability matrix is calculated by Python software, and then the reachability matrix is decomposed to form the interpretive structural model framework of influencing factors for the stable operation of university network education information ecosystem. On this basis, the influencing factors are defined as three levels. They are surface layer, middle layer and deep layer, and the interpretive structural model level is analyzed in turn. Finally, it puts forward countermeasures and suggestions to promote the stable operation of university network education information ecosystem, and provides guidance for the sustainable and stable development of university network education information ecosystem.
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