Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
Primary education is the gold stage of personal growth which is the foundation of the comprehensive development of moral, intelligence, physical, art and labor. Therefore, grasping the daily education of primary students is the focus of primary education. The application of big-data analysis could focus on the micro and overall performance of students. Maybe, these data have no significance to the individuals, but the information of all the students could solve many problems in the teaching process. Accordingly the teachers could acquire the real learning level of most of the students in school and more accurately carry out the personalized education and facilitate the efficient study of students.Using the SAS statistical models, this paper mined and analyzed the 3-6 grade's big testing data on Chinese Language courses through the VOSMaP Database of the EduCube project. In this study, the results of two-way ANOVA analysis model can provide the finding and effectively assist educators to solve the child's learning problems. In China the Chinese Language courses of Basic Education focus on the cultivation of loving the motherland language, cultural and social values; it emphasizes on the development of intellectual, morality and sound personality as well as the balanced development of moral, intellectual, physical, aesthetic, labor and so on. Based on the big data analysis, this paper concludes that the Chinese Language education fused with social values can facilitate the effectiveness of this kind of integration education in China, as well as can provide the educators of this field a new thinking in the big data era.
