Method of generating navigation learning path on knowledge map

Abstract

The invention discloses a method of generating a navigation learning path on a knowledge map. The method is characterized by comprising the following steps: (1) judging whether a general list Gen-T for storing the knowledge map is empty or not: if the general list Gen-T for storing the knowledge map is not empty, turning to the step (4) to excavate the learned knowledge of a user; (2) generating a total path t-nlr: computing the hierarchy level and learning centrality of a knowledge unit and secondarily ordering the knowledge unit according to the ascending order of the hierarchy level and the descending order of the learning centrality so as to obtain the total path t-nrl; (3) generating the general list Gen-T; (4) excavating the learned knowledge of the user: identifying the user type according to a user login account, generating the existing learned knowledge vector pre-kU of a learner U according to an excavating strategy for the learned knowledge of different types of users; (5) generating a user navigation learning path nlrU by reference to the total path t-nlr and the general list Gen-T according to the pre-kU of the learner U and an input learning goal OU. The user navigation learning path generated by the method provided by the invention has sufficiency, necessity and high efficiency for a leaner to understand the learning target.

Description

technical field [0001] The invention relates to network walking centrality calculation, log mining, e-Learning [electronic (chemical) learning] guidance technology for individualized learning, and in particular to a method for generating a navigation learning path based on a knowledge map. Background technique [0002] With the increasingly widespread application of Internet technology, e-Learning is facing the challenge of survival and development while becoming an important channel for people to acquire knowledge. The online learning mode of "three-screen" (video, teaching plan, catalog) courseware and multimedia real-time classroom solves the problem of time and space limitation of teaching resources and classroom scenes in traditional teaching, making e-Learning widely accepted by people. The success of the first phase of e-Learning has given birth to the massive quantity of teaching resources and the demand for personalized navigation learning. However, in this type of...

AI Technical Summary

Problems solved by technology

[0004] (1) A navigation learning path is pre-set by the teacher or the teaching team. The biggest problem with this method is that it is time-consuming and labor-intensive. Moreover, once a mistake is made, it will affect the performance of the entire system; in addition, the pre-set navigation learning path is fixed. , cannot flexibly respond to user needs with different basic knowledge backgrounds

[0005] (2) Using mathematical techniques, keyword matching, and other heuristic methods to generate navigation learning paths, this method overcomes the problems of method 1), and at the same time brings a new problem: ignoring the learning prerequisites between knowledge units , the system generates approximate, even illogical, user-navigation learning paths

But this method has the following problems: First, it only considers the necessity of learning prerequisites between knowledge units, but ignores its sufficiency

[0018] According to the comparison of the above-mentioned novelty search analysis, it can be seen that the existing domestic and foreign related technologies identify the sequence of knowledge units that meet the necessity of learning through various optimization techniques, especially in various methods based on knowledge maps. logical relationship, but the sequence of knowledge units generated by these methods does not meet the learning sufficiency and cannot become an effective user navigation learning path

Images