A User Grouping Method for Online Collaborative Learning Based on User Interaction Trust Network

Abstract

The present invention proposes an online collaborative learning user grouping method based on a user interactive trust network, which mainly includes the following steps: (1) construction of a user interactive trust network on an online collaborative learning platform; (2) initialization of a collaborative learning group based on a Steiner tree; (3) User grouping based on local search of interactive trust network. The invention solves the problem of user team formation considering the influence of interactive trust relationship on learning utility in the online collaborative learning platform. Compared with the prior art, it can effectively use the user interactive trust network to evaluate the user utility in the collaborative learning group, and improve the efficiency of the platform. User collaborative learning effectiveness, reducing the gap between groups in the number of users and learning effectiveness of collaborative learning groups, and improving the inter-group fairness of collaborative learning platform user groups.

Description

technical field [0001] The invention belongs to the technical field of online learning (E-Learning), in particular to an online collaborative learning user grouping method based on a user interaction trust network. Background technique [0002] With the rapid development of network information technology, the online collaborative learning platform has developed rapidly as a hot spot in the field of computer-supported collaborative learning. was quickly promoted. At this stage, due to the continuous integration of the online collaborative learning environment into the rapidly developing social platform and mobile network technology, a large number of new online collaborative learning environments have emerged with social platforms and mobile applications as the medium; while enjoying the advantages of flexible models and abundant resources, online collaboration Learning platforms are also gradually faced with the problem of building a complex collaborative learning environme...

AI Technical Summary

Problems solved by technology

When the above schemes group users in the collaborative learning platform, they often ignore the influence of the interactive trust relationship between users in the collaborative learning group on the user's learning utility (the user's learning utility specifically refers to the degree of improvement of the ability level), and there are currently related works It is pointed out that the interactive trust relationship between learners will significantly affect the user learning utility in collaborative learning

Therefore, the above collaborative learning user grouping scheme will lead to problems such as low overall learning utility of users on the platform after grouping, and unbalanced number of users and learning utility among different groups.

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