Network Education Evaluation System and Its Design Based on Decision Tree Classification Algorithm

Because education is a complex system, it should be based on long-term formative evaluation. Network teaching breaks the limitation of region and time and space, and realizes many functions, such as two-way interaction, real-time multi-point communication, wide dissemination, quick data information collection and so on. Therefore, on the basis of understanding the individual characteristics of learners, we must formulate learning strategies for individual learners according to certain teaching rules, allocate teaching resources and contents predictably, and build a personalized learning environment. Chinese traditional teaching mode is an exam oriented teaching mode with classroom teaching as the core. Its guiding ideology is book knowledge centered, classroom centered and teacher centered. The chip has the ability of hardware floating-point operation and portability, so the processor is selected to ensure the operation of the system. This paper mainly discusses the development of a new evaluation system – network education evaluation system by using network environment, and introduces the main structure and function of decision tree classification algorithm.