Research on Frontier Issues of Graduate Student Guidance Relationship – Based on Big Data Visualization Analysis
- DOI
- 10.2991/978-94-6463-192-0_121How to use a DOI?
- Keywords
- visual analysis; Citespace; big data statistics; mentorship relationship
- Abstract
In this study, the visualization software Citespace5.8R3, a bibliometric tool, was used to visually analyze the data and literature searched by the keywords “postgraduate student-student relationship”, “university teacher-student relationship” and “guided student relationship” in the database of China National Knowledge Network (CNKI) from 2010 to 2021. The author, research institution and keyword contribution map in the research field of mentoring relationship for graduate students were drawn. Combined with the high frequency keywords, centrality and frequency of big data statistics, the hot issues in the field of Chinese graduate mentee relationship are analyzed, and the hot topics in the research of Chinese graduate mentee relationship are predicted based on the salience rate index of salience words combined with secondary literature retrieval.
- 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.
Cite this article
TY - CONF AU - Ruixuan Zhai AU - Siwen Han PY - 2023 DA - 2023/07/04 TI - Research on Frontier Issues of Graduate Student Guidance Relationship – Based on Big Data Visualization Analysis BT - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023) PB - Atlantis Press SP - 923 EP - 931 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-192-0_121 DO - 10.2991/978-94-6463-192-0_121 ID - Zhai2023 ER -