Knowledge learning plan generation and adjustment method based on DIKWP system

Abstract

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.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for generating and adjusting knowledge learning plans based on the DIKWP system. Background technique [0002] Examination, as a long-standing and effective method of knowledge level identification, can test learners' understanding of knowledge, mastery of skills, learning ability and knowledge reserve. At present, many vocational qualification certificates, professional skill level certificates, etc. You need to pass the corresponding exams. In order to pass the exam, candidates have to review the knowledge content related to the exam in advance. In order to improve learning efficiency and make the knowledge firm, candidates need to formulate corresponding study plans and study step by step. Many candidates are unable to formulate effective study plans because they are not familiar with the knowledge content of the exam. At present, there are many study counsel...

AI Technical Summary

Problems solved by technology

Many candidates are unable to formulate effective study plans because they are not familiar with the knowledge content of the exam. At present, there are many study counseling software for different exams on the market. Such software usually has the function of making study plans, but the formulation of study plans Usually only consider how many days are left from the current time to the exam time, and then simply and roughly distribute all the knowledge content that may be tested in the exam to each day for the user to learn, without considering the user's own learning ability, knowledge mastery, and the user himself learning intention, for example, the user’s intention is only to pass the exam and not to pursue high scores. In this case, it is not in line with the user’s intention to learn and master all the knowledge related to the exam, and it is difficult to improve learning efficiency.

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