Application of Online Teaching Platforms for Postgraduate Course—Taking Advanced Statistics as an Example
- DOI
- 10.2991/978-94-6463-230-9_48How to use a DOI?
- Keywords
- Online Platform; Advanced Statistics; Rain Classroom
- Abstract
Postgraduate course teaching plays an important role in postgraduate training, and the online teaching platform promotes the provision of more abundant teaching resources for it. How to make use of online teaching platforms to improve teaching effectiveness remains an urgent problem to be solved in the teaching reform of Advanced Statistics. In this paper, we analyze the advantages and disadvantages of various online teaching platforms in comparison with the traditional teaching problems of Advanced Statistics, integrate the teaching characteristics of the Advanced Statistics course and interpret them from three perspectives: learners, teachers and school then selects Rain Classroom as the online teaching platform, which has realized the efficient interaction between teachers and postgraduates before and after class, and has improved the teaching effectiveness of the Advanced Statistics course.
- 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 - Meilian Liu AU - Feng Zhang AU - Jijun Xiao PY - 2023 DA - 2023/09/04 TI - Application of Online Teaching Platforms for Postgraduate Course—Taking Advanced Statistics as an Example BT - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) PB - Atlantis Press SP - 411 EP - 422 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-230-9_48 DO - 10.2991/978-94-6463-230-9_48 ID - Liu2023 ER -