Learning companion recommendation system and method

Abstract

The invention provides a learning companion recommendation system and method. The system comprises an intelligent terminal and a server. The intelligent terminal is used for online learning interaction, an online learning companion discovery system runs in the server, and comprises an information labeling module, a learning interaction and data acquisition module, a knowledge state and knowledge structure representation calculation module and a similarity calculation and learning companion recommendation module. The method is suitable for a common online learning platform, the knowledge stateand the knowledge structure of the learner in the online learning process can be dynamically represented, and the learning companions with the most similar level in the two dimensions of the knowledgestate and the knowledge structure are obtained according to the knowledge state and the knowledge structure.

Description

technical field [0001] The present invention belongs to the field of online learning resource recommendation, and specifically relates to a learning companion recommendation system and method. The system utilizes collected online learning interaction process data to dynamically represent the knowledge state and knowledge structure of learners in the online learning process, and Based on this, the learning companions with the most similar levels in the two dimensions of knowledge state and knowledge structure are obtained, which are applied to large-scale online course learning. Background technique [0002] With the explosive growth of Web information, it is becoming more and more difficult to quickly obtain truly useful information that meets precise individual needs from the Web. A feasible solution is to carry out personalized recommendation of resources, by mining the individual needs of users, and then proactively find appropriate resource services from massive informat...

AI Technical Summary

Problems solved by technology

[0004] In the field of online learning, what needs to be recommended is learning resources (including digital resources and interpersonal resources) that can really help and guide learners to the next step of learning. The purpose of recommendation is to really promote the occurrence of learning, so it needs to be considered in the recommendation design More content, including the characteristics of the learner itself, the characteristics of other learning partners in the system, the specific learning situation, and the attribute characteristics of the learning resources themselves, and the types of learning resources are diverse, and the learning characteristics are constantly changing, which affects the learning process. There are also many factors, so the algorithm and strategy of personalized resource recommendation are more complicated

Images