Method and device for assigning difficulty value of knowledge points suitable for learning management system

Abstract

The invention discloses a method and a device for assigning difficulty value of knowledge points suitable for a learning management system. The method comprises: receiving an evaluation request sent by a user; Generating a test set according to the evaluation request; receiving the answer information generated by the question information of each test question in the test question set, and generating a second corresponding relationship between the answer information and the test question; comparing the answer information of each test question with the correct answer information one by one according to the first correspondence relation and the second correspondence relation, and determining the correct answer information in all the answer information; determining a first test question corresponding to each correct answer information; determining level information corresponding to each first test item; according to the level information of all the first test questions and the set of testquestions, the evaluation results of the users are obtained. It achieves the purpose of semantic diagnosis of learning style and cognitive level, dynamic presentation of learning resources and teaching strategies according to the user model, resource sharing, reuse and personalized recommendation.

Description

technical field [0001] This application relates to the field of data processing, in particular, to a method and device for assigning and processing the difficulty of knowledge points suitable for a learning management system. Background technique [0002] At present, some common learning management systems (LMS), such as Blackboard, WebCT, Moodle, SaKai, etc., provide learners with the same sequence of learning activities and learning resources, but in fact, learners have individual differences. They have different learning styles, cognitive levels, learning motivations, social backgrounds, etc. [0003] Therefore, using existing learning resources to realize reorganization and recommendation to different learners has become a current hot issue. Many researchers, especially foreign scholars, have successively developed adaptive learning systems that can provide personalized services. However, the user model in most systems Researches all focus on a certain aspect, such as f...

AI Technical Summary

Problems solved by technology

[0004] However, the user model in the above-mentioned software system that supports learners' personalized learning is not complete, and it is impossible to carry out semantic description of learning resources, and cannot realize semantic diagnosis of learning style and cognitive level, and thus cannot make learning resources and teaching strategies according to users. Model dynamic presentation, as well as resource sharing, reuse and personalized recommendation and other functions

[0005] For the problems existing in related technologies, no effective solutions have been proposed yet

Images