Design of Blended Teaching Model of Public English for Medical Students Based on In-depth Learning
- DOI
- 10.2991/978-94-6463-058-9_50How to use a DOI?
- Keywords
- In-depth learning; Blended teaching; Public English
- Abstract
As an effective educational concept and learning method, in-depth learning is very important to promote human development. As an important trend in the development of higher education, blended teaching provides a broad space for students' in-depth learning. This paper theoretically realizes the transformation from "teacher-centered" to "student-centered", understands the learners' learning investment, helps Chinese medical students to invest more actively and efficiently in blended public English learning, and enriches the theoretical research of college Students' English learning investment. Through the analysis of the implementation effect, it is found that the blended teaching mode of promoting in-depth learning can improve students' learning results and improve students' understanding of knowledge. Blended teaching mode can stimulate students' in-depth learning motivation and learning investment, promote students' application of in-depth learning strategies, and achieve the purpose of promoting students' in-depth 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.
Cite this article
TY - CONF AU - Hang Dai AU - Tianyu Zhao PY - 2022 DA - 2022/12/27 TI - Design of Blended Teaching Model of Public English for Medical Students Based on In-depth Learning BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 297 EP - 303 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_50 DO - 10.2991/978-94-6463-058-9_50 ID - Dai2022 ER -