In the era of highly developed Internet technology, the learning resources on the Internet show an exponential growth trend. Facing the diversification and disorder between various learning objects and concepts, if the dependencies between them are recognized, It will have a major impact on computer education. Aiming at this problem, this paper proposes a concept dependency recognition method for Wikipedia. Using the characteristics of the concept in Wikipedia, a set of recognition concept dependency model is designed, and the machine learning based classification algorithm is used to test on the public data set. . The experimental results show that the model has high accuracy and recall rate, which can effectively discover the dependencies between concepts.