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A recognition method of abnormal learning behaviour in MOOC online education based on background subtraction

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成果类型:
期刊论文
作者:
Hongmei Wan
作者机构:
[Hongmei Wan] School of Marxism, Hunan City University, Yiyang, Hunan, 413000, China
语种:
英文
关键词:
background subtraction;binarisation treatment;mean background method;background difference method;online education
期刊:
International Journal of Information Technology and Management
ISSN:
1461-4111
年:
2025
卷:
24
期:
1-2
页码:
52-66
机构署名:
本校为第一机构
院系归属:
马克思主义学院
摘要:
In order to overcome the problems of high time-consuming and poor recognition accuracy of learning behaviour recognition, this paper proposes an abnormal learning behaviour recognition method for MOOC online education based on background subtraction. Firstly, the characteristics of students' abnormal learning behaviours are collected and extracted. Then, the background difference algorithm is used to obtain the foreground object and background of the learning image, and the image pixels are classified. Finally, the mean background method is used to obtain the learning background, the abnormal ...

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