E-learning Based Data Mining System for Chinese Teaching Information

Abstract

The impact of big data and Internet of Things(IoT) technologies has thrown off the equilibrium in the atmosphere around Chinese language instruction. This paper presents an approach to studying an E-learning-based data mining system for Chinese language teaching information, which leverages E-learning to obtain intelligent data and improve teaching flexibility. It also introduces IoT and data mining into Chinese language teaching. The data generated throughout the procedural assessment process is carefully examined using data mining to ascertain whether a teacher's procedural evaluation in Chinese education is satisfactory. One artificial intelligence strategy is data mining, which, through reviewing the interdependencies and mutual restrictions among different elements in Chinese teaching, creates and executes a new ecological environment of information sharing, high-quality instruction, and tailored learning. Ultimately, using the constructed ecological environment's practical application, the experimental results demonstrate that, in contrast to specific other teaching approaches currently in use, the method can assist students in revising their conceptions, strategies, and contents related to learning Chinese, encourage their curiosity and initiative in the process, and ultimately enhance their Chinese learning impact and application capacity.