title: Design of Automatic Extraction Algorithm of Knowledge Points for MOOCs.
abstract: 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.
authors.affiliation: School of Information Management and Engineering, Shanghai University of Finance and Economics, 777 Guoding Road, Shanghai 200433, China ; School of Open Education, Shanghai Open University, 288 GuoShun Road, Shanghai 200433, China.
authors.forename: Haijian
authors.initials: H
authors.lastname: Chen
authors.affiliation: School of Information Management and Engineering, Shanghai University of Finance and Economics, 777 Guoding Road, Shanghai 200433, China ; Shanghai Financial Information Technology Key Research Laboratory, 777 Guoding Road, Shanghai 200433, China.
authors.forename: Dongmei
authors.initials: D
authors.lastname: Han
authors.affiliation: School of Information Management and Engineering, Shanghai University of Finance and Economics, 777 Guoding Road, Shanghai 200433, China.
authors.forename: Yonghui
authors.initials: Y
authors.lastname: Dai
authors.affiliation: School of Information Management and Engineering, Shanghai University of Finance and Economics, 777 Guoding Road, Shanghai 200433, China ; School of Information Management, Shanghai Finance University, 995 Shangchuan Road, Shanghai 200433, China.
authors.forename: Lina
authors.initials: L
authors.lastname: Zhao
mesh_terms: D000465:Algorithms; D020375:Education, Distance; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D058436:Knowledge Management; D010363:Pattern Recognition, Automated / Q000379:methods*