基于学生行为分析模型的高校智慧校园教育大数据应用研究

Smart Campus Big Data Education Application Based on Students’ Behavior Analysis Model

With the development of campus informatization， “campus big data” attracts more and more attention. Combining big data technology with education resources is considered as a new thought for smart campus construction brought by information technology of the Internet Age. However， there are still some problems， such as unified data standards， data Island， and unreasonable utilization of data resources in the construction of smart campus. To solve the above problems effectively， this paper designs a campus big data analysis platform， and constructs a student behavior analysis model with five dimensions which are students’ basic information， classroom learning， extracurricular learning， campus life and entertainment， and applies the campus big data technology of to research， teaching， management and service to improve the school’s comprehensive ability. At last， with the construction of a Beijing smart campus in as an example， the analysis of the effect of big data application from different direction， such as macro decisionmaking， campus management and service， individualized teaching， analysis and funding of poor students， is carried out. According to the reality reaction of the university， the application of big data in smart campus education based on the student behavior analysis model is worthy popularizing in the educational field.