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General Information
    • ISSN: 2010-3689 (Online)
    • Abbreviated Title: Int. J. Inf. Educ. Technol.
    • Frequency: Monthly
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
CQUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2019 Vol.9(10): 756-761 ISSN: 2010-3689
doi: 10.18178/ijiet.2019.9.10.1299

Construction and Analysis of Knowledge Network: On the Example of Educational Technology Syllabus

Jing Xia Liu and Bin Wen
Abstract—The syllabus is the guiding document for subject teaching and the main basis for teacher teaching. The mastery of the teacher’s knowledge structure of the syllabus marks the quality of teaching. Teachers should not only understand the basic content of the syllabus, but also be familiar with the overall structural characteristics of the syllabus. In this paper, we mainly applies the social network analysis method to research the structural characteristics of the syllabus. Firstly, according to the Educational Technology syllabus, its knowledge structure is analyzed. Then the concept map is used to construct its knowledge structured model, and the adjacency matrix is used to establish the knowledge network model. Secondly, through the analysis of the content of the Educational Technology syllabus, the relative knowledge nodes and knowledge relationships are ascertained, and the UCINET software is used to construct the Educational Technology knowledge network. Thirdly, the node centrality of the Educational Technology knowledge network is analyzed, three indicators of node centrality (degree centrality, betweenness centrality and closeness centrality) are used to respectively explain the importance, connectivity and difficulty of the knowledge node in the Educational Technology knowledge network. Finally, through the calculation and analysis of the central indicators, it can get that the centrality of the knowledge node is greater, this shows its position is more important, its connectivity is closer and its learning difficulty is smaller. And combining the analyzed results with the actual teaching, it can provide a new way to optimize the teaching.

Index Terms—Social network, concept map, knowledge network construction, syllabus analysis.

The authors are with the School of Information Science and Technology, Yunnan Normal University, Kunming, China (corresponding author: Bin Wen; e-mail: 179988079@qq.com, ynwenbin@163.com).

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Cite: Jing Xia Liu and Bin Wen, "Construction and Analysis of Knowledge Network: On the Example of Educational Technology Syllabus," International Journal of Information and Education Technology vol. 9, no. 10, pp. 756-761, 2019.

Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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