A Cognitive Topic Modeling Approach for Detailed Learner Analysis in Asynchronous Discussions

A Cognitive Topic Modeling Approach for Detailed Learner Analysis in Asynchronous Discussions

Asynchronous discussion platforms are crucial components of online education: these sites promote knowledge exchange and enhance the learning experience. Students’ discussion data contain abundant information, including personal interests and preferences. Such content also offers insight...

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Bibliographic Details
Main Authors: Ruofei Ding, Xianfei Luo, Shumin Chen, Xiaomin Wu, Chi Zhang, Lixiang Liu, Yanyu Huang, Ling Chen, Jingxiu Huang, Yunxiang Zheng, Ke Zhu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cognitive topic
epistemic network analysis
learning analytics
machine learning
Online Access:https://ieeexplore.ieee.org/document/11015804/
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https://ieeexplore.ieee.org/document/11015804/

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