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Research on the Current Status of Primary School English Online Attention Based on Big Data

With the modern development of education in China, the related data in the education field has rapidly expanded, and national education has entered the "big data era". Aiming at the characteristics of the large-capacity, multi-type, and high-growth data collection in the education field, the use of big data technology for aggregation, classification, analysis, and reorganization is the only way to promote the high-quality development of education and complete the modernization of education. Based on the big data mining of the National Bureau of Statistics and Baidu Index, using literature data, knowledge graphs, mathematical statistics and logical analysis, the time characteristics of primary school English online attention, attributes of concerned people and factors affecting the English learning needs of netizens are explored and analyzed. The results show that there is no seasonally significant difference in the time characteristics of primary school English online attention. "Learning" is the main demand for primary school English attention, but there is a group preference of "focusing on knowledge and neglecting skills". Therefore, in the context of the era of "big data + education", giving play to the guiding role of education policy and education evaluation, stimulating and leading netizens to correct and healthy online attention, is crucial to achieving high-quality development of primary school English education.