Dynamic evaluation method of distance learning quality based on MOOC theory

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成果类型：

期刊论文

作者：

Lin Zeng;Jun-cheng Wang;Xiao-long Wen;Henry Loghej

通讯作者：

Wen, X.-L.

作者机构：

[Xiao-long Wen] College of Civil Engineering, Hunan City University, Yiyang, Hunan, 413000, China

[Henry Loghej] College of Education, The University of Alabama, Tuscaloosa, AL 35487, USA

[Lin Zeng; Jun-cheng Wang] Science and Technology College, Nan Chang Hang Kong University, Nanchang 332020, China

通讯机构：

College of Civil Engineering, Hunan City University, Hunan, Yiyang, China

语种：

英文

关键词：

distance learning;dynamic evaluation;fuzzy correlation constraints;MOOC theory;quality

期刊：

International Journal of Continuing Engineering Education and Life-Long Learning

ISSN：

1560-4624

年：

2022

卷：

期：

页码：

216-226

DOI：

https://doi.org/10.1504/IJCEELL.2022.121773

机构署名：

本校为通讯机构

院系归属：

土木工程学院

摘要：

In order to improve the accuracy of distance education quality evaluation, a dynamic evaluation method of distance education quality based on the theory of MOOC is proposed. The fuzzy correlation constraint method is used to evaluate the remote MOOC teaching quality dynamically. The big data in the process of the dynamic evaluation of the remote MOOC teaching quality is mined by association rules to obtain the binary semantic features of the remote MOOC teaching quality. The dynamic feature set of remote MOOC teaching quality evaluation is cons...

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Dynamic evaluation method of distance learning quality based on MOOC theory

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