On the Cognitive Load of Online Learners With Multi-Level Data Mining
On the Cognitive Load of Online Learners With Multi-Level Data Mining
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DOI：
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发表时间：
2022
影响因子：
2
通讯作者：
饶义强
中科院分区：
文献类型：
--
作者：
刘玲艳;赵波;饶义强
A lot of studies have shown that there is an “inverse U-curve” relationship between learners’ grades and cognitive load. Learners’ grades are closely related to their learning behavior characteristics on online learning. Is there any relationship between online learners’ behavior characteristics and cognitive load?Based on this, the data of research are obtained from the professions and applied sciences on the Canvas Network platform. The multi-level data mining technology is used to analyze and mine the relationship between grades and online learners’ behavior characteristics layer by layer. The results show that there is an “inverse U-curve” relationship between grades and “nevents.” Therefore, the research attempts to map “nevents” to the online learners’ cognitive load, which makes the online learners’ cognitive load can be quantitative analysis. Research results also prove that multi-level data mining technology can be used to mine the special learning rules hidden behind the data effectively.
