Research on the Teaching Practice of “Labor Education” Based on the Blended Teaching Mode Under the Chaoxing Platform
- DOI
- 10.2991/978-2-38476-271-2_86How to use a DOI?
- Keywords
- blended learning; Chaoxing Learning Platform; Labor Education
- Abstract
Blended learning is an important aspect of current teaching reform. The application of this model in course instruction not only reflects the subjective status of students but also enables two-way interaction between teachers and students, thereby enhancing teaching effectiveness. The “Labor Education” course utilizes the Chaoxing Learning Platform to build a course platform that is applied to pre-class preparation, in-class interaction, and after-class review, improving the efficiency of classroom discussion-based teaching. By incorporating ideological and political elements, the quality of teaching and educating has been improved, and students’ formative assessment has become more objective, fair, and transparent. This has enriched teachers’ teaching methods, increased student interest, enhanced students’ autonomous learning ability, and implemented a student-centered teaching. Philosophy.
- Copyright
- © 2024 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 - Xiaojing Cheng AU - Chuqi Zhou PY - 2024 DA - 2024/07/29 TI - Research on the Teaching Practice of “Labor Education” Based on the Blended Teaching Mode Under the Chaoxing Platform BT - Proceedings of the 2024 5th International Conference on Mental Health, Education and Human Development (MHEHD 2024) PB - Atlantis Press SP - 708 EP - 715 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-271-2_86 DO - 10.2991/978-2-38476-271-2_86 ID - Cheng2024 ER -