Design of adaptive learning system based on big data

In1 recent years, with the rise and development of big data technology, research about big data of education has gradually become a hot research. Big data of education is an important means of modernization educational change based on data acquisition and analysis technology. The major applications of big data in education are educational data mining, learning analysis and educational decision-making and so on [1]. With the combination of big data and education, adaptive learning system [2] gradually into our sight. Adaptive learning system is a system that can provide a personalized learning service for learners. The system can recommended personalized learning path and learning resources according to learners' various characteristics and behavioral tendencies, such as learning style, media tendency, interest, cognitive level and so on. This paper aims to design an adaptive learning system based on the big data in education. The system contains four modules: domain module, student module, adaptive recommendation module and visual display module.