Hot Spot Perspective and Trend Analysis of Blended Teaching Research
- DOI
- 10.2991/978-94-6463-172-2_169How to use a DOI?
- Keywords
- Blended teaching; Research hotspots; The development trend; Visualization
- Abstract
This paper attempts to investigate the hot spots, cutting-edge trends of China's mixed teaching research so as to clarify and address the focus of their improvement in the post epidemic era. The information visualization software Cite Space was explored to visualize and analyze the relevant journals and literatures of mixed teaching research including in the Web of Science Core Collection database from 2018 to 2022, and has drawn the corresponding map of scientific knowledge. The research reveals that mixed teaching research concentrates on blended learning, technology acceptance model, learning, community of inquiry, etc. in which institutional driver, distance learning, and student perception will be the focus of mixed teaching research in the future from the perspective of research trend. Based on the research results, five suggestions for improvement are proposed regarding the establishment of the system and mechanism, the creation of the teaching platform, and the construction of the training system.
- 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 - Xuehan Zhou PY - 2023 DA - 2023/06/30 TI - Hot Spot Perspective and Trend Analysis of Blended Teaching Research BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 1533 EP - 1538 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_169 DO - 10.2991/978-94-6463-172-2_169 ID - Zhou2023 ER -