计算机科学
教育技术
电子学习
数学教育
多媒体
心理学
作者
Lanqin Zheng,Yunchao Fan,Lei Gao,Zichen Huang,Bodong Chen,Miaolang Long
标识
DOI:10.1080/15391523.2024.2304066
摘要
As an effective form of pedagogy, online collaborative learning has received increasing application in the field of education. However, learners often feel frustrated with regard to knowledge building, cognitive engagement, and socially shared regulation. To solve these problems, the current study proposed an approach featuring artificial intelligence (AI)-empowered assessments and personalized recommendations. The purpose of this quasi-experimental study was to examine the effect of the proposed approach on collaborative learning performance. In total, 135 college students, who were divided into three conditions, participated in the current study. The results of both quantitative and qualitative analysis indicated that the proposed approach could substantially enhance collaborative knowledge building, cognitive engagement, socially shared regulated behaviors, and group performance. The findings are discussed thoroughly alongside their pedagogical and technological implications.
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