Blended Learning of Consecutive Interpreting Course in Chinese Context under the Framework of Daniel Gile’s Effort Model
- DOI
- 10.2991/978-94-6463-040-4_91How to use a DOI?
- Keywords
- blended learning; Consecutive Interpreting course; Daniel Gile’s Effort Model
- Abstract
This research targets blended learning of consecutive interpreting course in Chinese context and is to testify the effectiveness and efficiency of this teaching and learning model. Daniel Gile’s Effort Model providing the theoretical foundation, the 3-year practice of blended learning in consecutive interpreting course has verified that students, under this teaching mode, have clearer and more solid learning objectives, are enabled to pinpoint their deficiencies before class, are more concentrated on specific tasks in class, and have more frequent and personal interactions with the lecturer during the whole process. Furthermore, it can be deduced via an empirical approach that students have a higher level of interpreting-related cognition and act in the interpreting process with a more disciplined and strategic manner.
- 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 - Xi WANG PY - 2022 DA - 2022/12/27 TI - Blended Learning of Consecutive Interpreting Course in Chinese Context under the Framework of Daniel Gile’s Effort Model BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 604 EP - 609 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_91 DO - 10.2991/978-94-6463-040-4_91 ID - WANG2022 ER -