Journal of Chaohu University ›› 2020, Vol. 22 ›› Issue (3): 131-141.doi: 10.12152/j.issn.1672-2868.2020.03.019

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Analysis on Knowledge Map of China's Smart Education Based on CSSCI Database

FANG Fan,FANG Shu-miao   

  1. 1. Teaching Affairs Office, Chaohu University, Chaohu Anhui 238000;
    2. School of Business Management, Chaohu University, Chohu Anhui 238000
  • Received:2020-02-20 Online:2020-05-25 Published:2020-08-20
  • Contact: FANG Fan:Teaching Affairs Office, Chaohu University, Chaohu Anhui 238000
  • About author:FANG Fan:Teaching Affairs Office, Chaohu University, Chaohu Anhui 238000
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Abstract: As a high-level form of educational informatization, smart education has become a research hotspot in the field of education in China. Based on the data of 174 documents from 2003 to 2019 in CSSCI database,CiteSpace Bibliometrics software is used to draw the knowledge map of keyword co-occurrence and document cocitation.This paper makes an objective and comprehensive analysis of the overall research status, research hotspot,research frontier and knowledge base in the field of smart education in China. The conclusion is as follows: The research on smart education in China is hot, but it has not formed a unified theoretical system. The main research force is institutions of higher learning, and there is a certain cooperative relationship between the authors, but there
is a lack of in-depth cooperation among institutions, teams and disciplines. Research focuses include educational informatization, smart campus, smart classroom, smart curriculum, etc. The research is still at the stage of construction and discussion, and the case analysis and practical application are insufficient. With the promotion of information technology, artificial intelligence, intelligent courses and intelligent era are the latest research frontiers.However, a complete and feasible technical support system has not been summarized. By combing the research results, we hope to provide more reliable research reference for other scholars to quickly and effectively understand the research situation in the field of intelligent education in China.

Key words: smart education, CSSCI database, knowledge map

CLC Number: 

  • F830