In order to realize the accuracy and reliability of tearning effect evaluation, we have built a big data platform, which uses the PHP API of Elasticsearch to realize data storage operation and data aggregation analysis. The operation of Elasticsearch is based on RESTful Web interface, and the visual analysis effect is built by using Larvel5 framework. The data format submitted and returned by the interface is JSON. Based on the visual analysis technology of the platform, the teaching process of BTEC Teaching mode is analyzed from two aspects: the whole process data and the sampling data of individual homework. Based on this platform, a course homework inspection system based on sampling technology is designed. Through the data analysis of "comprehensive" + "spot check", the whole process control of teaching quality is realized. Teaching experiments show that the platform can visually analyze the different target values set in each stage of the whole process of the classroom, and carry out random homework sampling and analysis. On this platform, the learning effect of BTEC Teaching mode is analyzed to provide an effective basis for scientific decisionmaking and improving the effect of curriculum teaching reform.
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