Username   Password       Forgot your password?  Forgot your username? 


Hotspots, Theme Structure, and Development Trends on Maker Education: A Quantitative and Co-Word Analysis

Volume 14, Number 11, November 2018, pp. 2742-2751
DOI: 10.23940/ijpe.18.11.p20.27422751

Haiyan Xiea, Jianhou Ganb, Bo Zhaoa,b, and Ying Xiongc

aInformation Institute, Yunnan Normal University, Kunming, 650500, China
bKey Laboratory of Educational Information for Nationalities, Ministry of Education, Yunnan Normal University, Kunming, 650500, China
cSchool of Foreign Languages, Yunnan Normal University, Kunming, 650500, China

(Submitted on August 23, 2018; Revised on September 6, 2018; Accepted on October 12, 2018)


The cultivation of innovative talents is the focus of the education field in every country. In recent years, Maker Education (ME), as one of the ways to promote innovation of education, has become a key research area. By means of quantitative and qualitative analysis of the research literatures in recent years, it is possible that scholars have a relatively more comprehensive command over the latest subjects, and this can provide some directions for scholars when launching other studies to promote the sustainable development of ME. In this paper, the research hotspots, theme structure, and development trends of ME were surveyed based on literatures in CNKI (China National Knowledge Infrastructure). Firstly, among all the extracted keywords, 33 high-frequency keywords representing research hotspots were identified. Secondly, the status and relationship of the research hotspots were calculated and described through social network analysis (SNA). Finally, three research themes were classified by cluster analysis, and their distribution was depicted in a two-dimensional map. In conclusion, the results show that the current research direction of ME in China mainly revolves around two main lines and three research theme areas. Although China has made some achievements, the development of ME is still immature and unbalanced, and four development trends will be the research focus in the future.


References: 24

                  1. T. C. Huang, S. H. Chang, V. Y. Shu, P. Hansen, and S. L. Lee, “Developing a Curriculum of Maker Education in Taiwan Higher Education,” Emerging Technologies for Education, Vol. 10676, pp. 433-437, November 2017
                  2. Y. Tan and T. Zhang, “The Research Status, Hotspots and Trends of Marker Education——based on the Knowledge Mapping Analysis of the Relevant Literature Published in CSSCI Database from 2013 to 2016,” Modern Educational Technology, Vol. 27, No. 5, pp. 102-108, 2017
                  3. M. Z. Liu, L. Tong, and Y. Wang, “Research on the Present Situation and Development Trend of Maker Education Equipment,” E-Education Research, Vol. 293, No. 9, pp. 78-82, September 2017
                  4. B. Li and J. Wang, “Review of the Current Research Status of Maker Education in China——A Case Study of Statistics Analysis of CNKI,” Digital Education, No. 1, pp. 11-17, 2017
                  5. Q. Yao, K. Chen, L. Yao, P. H. Lyu, T. A. Yang, F. Luo, et al., “Scientometric Trends and Knowledge Maps of Global Health Systems Research,” Health Research Policy and Systems, Vol. 12, No. 1, pp. 1-20, June 2014
                  6. Q. He, “Knowledge Discovery Through Co-Cord Analysis,” Library Trends, Vol. 48, No. 1, pp. 133-159, 1999
                  7. H. Small, “Co-citation in the Scientific Literature: A New Measure of the Relationship Between Two Documents,” Journal of the American Society for Information Science, Vol. 24, No. 4, pp. 265-269, 1973
                  8. H. Small and B. C. Griffith, “The Structure of Scientific Literatures I: Identifying and Graphing Specialties,” Science Studies, Vol. 4, No. 1, pp. 17-40, January 1974
                  9. M. I. Viedmadeljesus, P. Perakakis, M. Á. Muñoz, A. G. Lópezherrera, and J. Vila, “Sketching the First 45 Years of the Journal Psychophysiology (1964-2008): A Co-Word-based Analysis,” Psychophysiology, Vol. 48, No. 8, pp. 1029-1036, August 2011
                  10. K. Börner, C. Chen, and K. W. Boyack, “Visualizing Knowledge Domains,” Annual Review of Information Science and Technology, Vol. 37, No. 1, pp. 179-255, January 2005
                  11. C. Zhang, Q. Yu, Q. H. Fan, and Z. G. Duan, “Research Collaboration in Health Management Research Communities,” BMC Medical Informatics & Decision Making, Vol. 13, No. 1, pp. 52, December 2013
                  12. M. Piraveenan, M. Prokopenko, and L. Hossain, “Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes During Percolation in Networks,” PLos One, Vol. 8, No. 1, pp. e53095, January 2013
                  13. F. Li, M. Li, P. Guan, S. Ma, and L. Cui, “Mapping Publication Trends and Identifying Hotspots of Research on Internet Health Information Seeking Behavior: A Quantitative and Co-Word Biclustering Analysis,” Journal of Medical Internet Research, Vol. 17, No. 3, pp. e81, March 2015
                  14. W. Leal, E. J. Llanos, G. Restrepo, C. F. Suárez, and M. E. Patarroyo, “How Frequently do Clusters Occur in Hierarchical Clustering Analysis? A Graph Theoretical Approach to Studying Ties in Proximity,” Journal of Cheminformatics, Vol. 8, No. 1, pp. 1-16, December 2016
                  15. L. C. Freeman, “A Set of Measures of Centrality based on Betweenness,” Sociometry, Vol. 40, No. 1, pp. 35-41, December 1977
                  16. G. Sabidussi, “The Centrality Index of a Graph,” Psychometrika, Vol. 31, No. 4, pp. 581-603, December 1966
                  17. J. R. Landis and G. G. Koch, “The Measurement of Observer Agreement for Categorical Data,” Biometrics, Vol. 33, No. 1, pp. 159-174, March 1997
                  18. G. Y. Liu, J. M. Hu, and H. L. Wang, “A Co-Word Analysis of Digital Library Field in China,” Scientometrics, Vol. 91, No. 1, pp. 203-217, April 2012
                  19. J. Hu and Y. Zhang, “Research Patterns and Trends of Recommendation System in China Using Co-Word Analysis,” Information Processing & Management, Vol. 51, No. 4, pp. 329-339, July 2015
                  20. S. Carlson, “The ‘Maker Movement’ Goes to College,” Available at, Last accessed on April 20, 2015
                  21. K. S. Christensen, O. S. Iversen, M. Hjorth, and R. C. Smith, “Articulations on Form Properties and Action-Function Couplings of Maker Technologies in Children’s Education,” Entertainment Computing, Vol. 18, pp. 41-45, January 2017
                  22. K. Peppler and S. Bender, “Maker Movement Spreads Innovation One Project at a Time,” Phi Delta Kappan, Vol. 95, No. 3, pp. 22-27, November 2013
                  23. C. P. Hu, J. M. Hu, S. L Deng, and Y. Liu, “A Co-Word Analysis of Library and Information Science in China,” Scientometrics, Vol. 97, No. 2, pp. 369-382, November 2013
                  24. S. G. Sireci and E. Forte, “Informing in the Information Age: How to Communicate Measurement Concepts to Education Policy Makers,” Educational Measurement: Issues and Practice, Vol. 31, No. 2, pp. 27-32, June 2012


                                  Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

                                  This site uses encryption for transmitting your passwords.