班级(哲学)
计算机科学
群(周期表)
协作学习
小组学习
数学教育
人机交互
人工智能
知识管理
心理学
化学
有机化学
作者
Jinju Duan,Yadi Liu,Yingjie Xing
标识
DOI:10.1109/icet62460.2024.10867912
摘要
This study introduces a new method, Collaborative Concept Mapping Assisted by AIGC, to analyze college students' online learning performance. This study focuses on designing, implementing, and evaluating this approach. This enables learners to visualize and enhance their understanding of knowledge through collaborative concept mapping. The method involves three steps: collaborative creation and refinement of concept maps by groups, evaluation based on predefined criteria, and analysis of the relationship between concept map scores and learners' end-of-term performance. This study validates the effectiveness of the method through group-generated concept maps and illustrates how AIGC assistance significantly improves academic performance. The survey results indicated widespread student perceptions of increased learning interest and practical benefits from AIGC utilization.
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