Collaborative Grouping and Interactive Relationship Construction of College Students Based on Group Preference

Abstract

Collaborative learning allows learners to gain more learning resources, learning experiences, and even learning habits from other group learners, thus improving themselves and achieving better learning outcomes. The existing studies only fully consider the differences in learners' learning preferences, while ignoring the preference of each group and the balance between groups, which is not conducive to the overall improvement of learners' achievements in each group. To this end, this article focuses on studying collaborative grouping and interactive relationship construction of college students based on group preference. A collaborative learning grouping algorithm based on group preference is proposed, considering the differences in learners' learning preferences and the preference of learning groups in a balanced way, and the problems in collaborative grouping of college students are described. A group preference-based collaborative learning grouping algorithm is designed, the main ideas and implementation process of the algorithm are expounded, experiments are designed to compare the intra-group difference degree of different grouping algorithms, and the algorithm’s evaluation method is introduced. The experimental results verify the effectiveness of the proposed algorithm.