Education, Science, Technology, Innovation and Life
Open Access
Sign In

Knowledge Graph Visual Analysis on the "Stickiness of Learning" Based on the VOSviewer Software

Download as PDF

DOI: 10.23977/infkm.2023.040307 | Downloads: 10 | Views: 671

Author(s)

Yuxiao Luo 1

Affiliation(s)

1 Department of Foreign Languages, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan, 528402, China

Corresponding Author

Yuxiao Luo

ABSTRACT

In order to focus on the research status of "stickiness of learning", the bibliometrics method is applied to make the statistical analysis on the number of publications, the source of journals, and the content of keywords. According to the line chart of publications and the pie chart of journal sources, it is discovered that "stickiness of learning" plays an important role both in the epidemic period and post-epidemic period, and the research on this topic from scholars at home and abroad is on the rise. On the basis of the network visualization, density visualization, and overlay visualization in the VOSviewer software, it is summarized that research perspectives of influencing factors of "stickiness of learning" are mainly divided into two categories: Expectation Confirmation Model of Information Systems Continuance (ECM-ISC) and Unified Theory of Acceptance and Use of Technology (UTAUT). However, as a social cognitive activity of learners, learning is actually an interactive process among learners, learning behaviors and external society. Social cognitive theory ignored in previous publications is supposed to play an indispensable role in the future study on influencing factors of "stickiness of learning". 

KEYWORDS

VOSviewer software, "stickiness of learning", knowledge graph visual analysis

CITE THIS PAPER

Yuxiao Luo, Knowledge Graph Visual Analysis on the "Stickiness of Learning" Based on the VOSviewer Software. Information and Knowledge Management (2023) Vol. 4: 32-39. DOI: http://dx.doi.org/10.23977/infkm.2023.040307.

REFERENCES

[1] Moore M. G. (2019). Handbook of Distance Education. New York: Routledge. 
[2] Choi H. J., Park J. H. (2018). Testing a path-analytic model of adult dropout in online degree programs. Computer & Education, 116, 130–138.
[3] Eck N. J. V., Waltman L. (2010). Software survey: Vosviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
[4] Hsu C. L., Liao Y. C. (2014). Exploring the linkages between perceived information accessibility and microblog stickiness: the moderating role of a sense of community. Information & Management, 51, 833–844.
[5] Chen Y. J. (2018). Empirical research of social interactions' influence on MOOC learners' stickiness. Liaoning Normal University. 
[6] Zeng Z. M., Zheng A. A. (2019). Study on influencing factors of learners' willingness to use MOOC platform in China universities. The Chinese Journal of ICT in Education, 16, 28-33.
[7] Yang L. (2020). Research on the Influence of social interaction on MOOC Learners' Stickiness —— Taking the course named Web System Development and Design as an example. Journal of Jiangxi Radio & TV University, 22(03), 19-24.
[8] Halilovic S., Cicic M. (2013). Antecedents of information systems user behaviour-extended expectation-confirmation model. Behaviour & Information Technology, 32, 359–370.
[9] Yan X. T. (2016). Research on influencing factors of users' stickiness for mobile learning APP. Heilongjiang University.
[10] Yin Y., Xie J. Y., Zhao C. X., Jiang H. (2021). Analysis of the current situation and influencing factors of medical students' stickiness for MOOC. China Medical Education Technology, 35(02), 167-171.
[11] Alshurideh M., Al Kurdi B., Salloum S. A. (2020). "Examining the main mobile learning system drivers' effects: a mixed empirical examination of both the expectation-confirmation model (ECM) and the technology acceptance model (TAM)," in Proceedings of the International Conference on Advanced Intelligent Systems and Informatics. (Cham: Springer). 
[12] Vygotsky L. (1978). Mind in Society: The development of higher psychological processes. Cambridge, MA: Harvard University Press. 

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.