RETRACTED ARTICLE: Application of big data platform and embedded intelligent system in teaching assistant work of Jinke resources

Abstract

This paper constructs a teaching resource sharing system based on big data platform technology, which provides a useful solution for the preservation and sharing of a large number of teaching resources at present and in the future, and accelerates the use of teaching resources and data, making accurate analysis and search become possible. While maintaining the stability of the system, we will improve the security and scalability of the big data platform system, and upgrade education and education informatization to a new level to support big data technology. This article details the software optimization of real-time embedded intelligent system based on non-volatile hybrid memory. This article introduces the main model and problem definition, the pulse-based distance accumulation (PBDA) algorithm proposed in the auxiliary case analysis and the detailed introduction of the auxiliary probability-based data allocation algorithm. The online golden course resources part of online and offline hybrid education, that is, the establishment of online public courses, has been recorded in schools at all levels, but there is no relatively complete warranty policy for offline golden course resources. The offline classroom teaching part is a particularly important part of the university’s mixed teaching, and this part is the embodiment of classroom teaching. The use of data can provide accurate decision-making for training, thereby providing teachers with personalized training and overall training support, and can more reasonably make teaching assistant work a demand of the times. However, the accumulation of data volume does not indicate the value of data. The current results are not satisfactory. One of the reasons is that data quality must be improved, and improving the quality of education data through data governance is one of the focuses of the education industry.