Online Data Analysis of Rural Teachers' Professional Development Based on XML

Abstract

In the past, building a big data environment only opened a window for the collection ofpreviously closed rural school teachers' data, and did not completely solve the problem ofaccurate support for rural teachers' ability. In this paper, first of all, by expanding the collectionrange of big data, building a unified data sharing standard, and establishing a professional teamof big data analysis, we can ensure the standardization of data collection, sharing and analysis ofrural teachers. Secondly, combining with big data analysis, we should formulate more scientifictraining objectives for rural teachers, establish comprehensive evaluation methods for ruralteachers, and cultivate professional teams for big data analysis, so as to drive the reconstructionof rural teachers' ability evaluation system. Finally, with the help of mobile terminals to collectthe training needs of rural teachers, the decision-making of rural teachers' training programshould be changed from "based on limited cases" to "based on comprehensive data". This paperconstructs O2O teacher training mode, which promotes the training mode and method fromexperience to refinement, personalization and cooperation.