Self-service learning group member recommendation method based on knowledge and social network

Abstract

The invention discloses a self-service learning group member recommendation method based on knowledge and a social network, and is suitable for the field of computers and education. By learning condition analysis based on a knowledge relation network and quantitative analysis based on a social relation network, a selection method of self-service learning group members is provided. According to the self-service learning group member recommendation method based on the knowledge and the social network, a dynamically adjusted self-service learning group member recommendation method is provided based on the learning condition matching degree and the social relationship harmony degree of students by comprehensively utilizing methods of a knowledge sequence graph, a graph theory, a social relationship network, probability and mathematical statistics and the like; therefore, method support is provided for improving the learning efficiency of students and cultivating interpersonal communication ability.

Description

technical field [0001] The invention relates to a method for recommending members of a self-help learning group, in particular to a method for recommending members of a self-help learning group based on knowledge and social networks, which is suitable for the fields of computer and education. Background technique [0002] It is generally believed that the theoretical basis of the study group includes constructivist learning theory, humanistic learning theory, group dynamics theory, social role interaction theory, need hierarchy theory, motivation theory, and subjectivity education theory. Ding Qikui believes that the study group is a teaching strategy that takes students as the center, takes the form of a group, and through a clear division of labor, for a common goal, cooperates and interacts in the process of exploring the learning process, promotes each other, and improves together; and points out that the study group It can reduce learners' anxiety, promote emotional com...

AI Technical Summary

Problems solved by technology

However, there are still few studies on the establishment of learning groups combined with positive emotions, especially in the use of positive emotional relationships, avoiding reverse conflicting relationships, and building harmonious learning groups.

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