The invention provides a knowledge learning plan generation and adjustment method based on a DIKWP system, and the method comprises the steps: S101, obtaining the multi-source content of a target object, building a DIKWP model based on the multi-source content of the target object, and enabling the DIKWP model to comprise one or more of a data model, an information model, a knowledge model, an intelligent model and an intention model; s102, the learning intention of the target object is analyzed according to the intention model of the target object, the learning target of the target object and the knowledge content needed for achieving the learning intention are determined according to the learning intention of the target object, and the knowledge content needed for achieving the learning intention is called the necessary knowledge content; s103, analyzing the necessary knowledge content mastering progress of the target object based on the DIKWP model of the target object and the necessary knowledge content; and S104, generating an optimal learning plan for the target object based on the DIKWP model of the target object and the necessary knowledge content mastering progress. According to the method, the learning plan with high pertinence can be generated for the target object based on the DIKWP system.