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Design of Automatic Extraction Algorithm of Knowledge Points for MOOCs
Joint Authors
Dai, Yonghui
Han, Dongmei
Chen, Haijian
Zhao, Lina
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In recent years, Massive Open Online Courses (MOOCs) are very popular among college students and have a powerful impact on academic institutions.
In the MOOCs environment, knowledge discovery and knowledge sharing are very important, which currently are often achieved by ontology techniques.
In building ontology, automatic extraction technology is crucial.
Because the general methods of text mining algorithm do not have obvious effect on online course, we designed automatic extracting course knowledge points (AECKP) algorithm for online course.
It includes document classification, Chinese word segmentation, and POS tagging for each document.
Vector Space Model (VSM) is used to calculate similarity and design the weight to optimize the TF-IDF algorithm output values, and the higher scores will be selected as knowledge points.
Course documents of “C programming language” are selected for the experiment in this study.
The results show that the proposed approach can achieve satisfactory accuracy rate and recall rate.
American Psychological Association (APA)
Chen, Haijian& Han, Dongmei& Dai, Yonghui& Zhao, Lina. 2015. Design of Automatic Extraction Algorithm of Knowledge Points for MOOCs. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057663
Modern Language Association (MLA)
Chen, Haijian…[et al.]. Design of Automatic Extraction Algorithm of Knowledge Points for MOOCs. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057663
American Medical Association (AMA)
Chen, Haijian& Han, Dongmei& Dai, Yonghui& Zhao, Lina. Design of Automatic Extraction Algorithm of Knowledge Points for MOOCs. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057663
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057663