Author(s)

Zhongbo Liu, Guillermo Palacios-Navarro, Raquel Lacuesta

Corresponding Author

Zhongbo Liu

Abstract

As an important form of online learning, online collaborative learning plays an increasingly important role in today's information age. Web-based collaborative learning, which is based on constructivism theory, meets the requirements of today's society for learners' learning. How to group collaborative learning is a problem that can't be ignored. In the process of teaching students in groups, teachers should consider not only learners' own factors, but also different teaching situations, teaching contents, teaching objectives, teaching media, teaching objects and other factors that affect the learning effect. They will all determine the teacher's grouping strategy. At the same time, effective grouping according to learners' characteristics in collaborative learning plays an important role in improving learners' learning efficiency. Therefore, based on AI (Artificial intelligence) technology, this paper studies the grouping algorithm of educational and learning partners. In this paper, a grouping method based on clustering algorithm is proposed to achieve the best performance of collaborative learning. This method is systematic and emphasizes learners' personality characteristics, so it is a feasible grouping method.

Keywords

Artificial intelligence; Collaborative learning; Grouping algorithm