Simulation Construction of Smart Cloud Platform under the Background of Big Data in the Internet of Things

The application of big data (BD) technology in the field of education is becoming increasingly widespread, and smart education (SE) cloud platforms are an important way to achieve smart education. This article helping school managers grasp the learning status and teaching effectiveness of students. The data analysis and visualization module of this article used BD analysis methods to mine and analyze student learning data, and identify learning patterns and trends from it; the data visualization interface was designed to display the analysis results in a graphical manner, making it easier for teachers and students to understand the learned content. The average learning time of the smart education cloud platform group was 10 hours, with an average learning achievement of 90 points and a learning efficiency of 9 points per hour. Under the background of BD in the networking of cultural relics, the smart education cloud platform can improve the learning effectiveness of students and further enhance teaching efficiency.