Knowledge Graph Analysis of Mobile Learning Based on CiteSpace

DOI

10.2991/978-94-6463-040-4_88How to use a DOI?

Keywords

Mobile learning; Learning resources; Intelligent mobile terminals; Data mining and analysis; Learners

Abstract

Under the background of the rapid development of mobile technology and its applications, what kind of picture does the domestic mobile learning research shows, and which research topics and hotspots to focus on are issues worthy further exploration. Using CiteSpace analysis software, with the Chinese Social Science Citation Index (CSSCI) in CNKI database as the data source, the literature data related to mobile learning is analyzed, the research context is sorted out, and the research status and development direction of mobile learning are explored. On the basis of analyzing the spatiotemporal distribution characteristics, research hotspots and research fronts of mobile learning, the thesis provides references for the learners and users of mobile learning, and forecasts the development trend of mobile learning.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ruixue Yang
AU  - Meng Liu
AU  - Ruihuai Yang
PY  - 2022
DA  - 2022/12/27
TI  - Knowledge Graph Analysis of Mobile Learning Based on CiteSpace
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 578
EP  - 583
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_88
DO  - 10.2991/978-94-6463-040-4_88
ID  - Yang2022
ER  -