Abstract:

In big data era, digital learning resources are growing explosively. Facing on massive learning resources, how to choose or how to push proper resources to learners will become a major challenge in the future. To overcome the problems of excessive fast update network course contents, we build a computer network adaptive learning system through collecting learning behavior data in the teaching process based on big data analysis. This system contains six modules: adaptive learning, forecasting, interpose and others, which can push targeted learning contents and feedback learners’ performance in time, thus teaching learners in accordance to their aptitudes.

Key words: bigdata, data analysis, computer network, teaching, training