How to Promote Deep Learning of Chinese Language Learners in Asynchronous Interaction Mode: Taking Recorded Courses as an Example
- DOI
- 10.2991/978-94-6463-044-2_55How to use a DOI?
- Keywords
- asynchronous interaction; deep learning; learning Chinese as a second language
- Abstract
From the cognitive perspective, this article takes the recorded course as an example to analyze the online courses in asynchronous interaction and study how to promote deep learning of learners who study Chinese as a second language under such interaction mode. The ways to stimulate deep learning are given by studying the influence of asynchronous interaction on the learning process and objectives of deep learning: interactive chains should be established to stimulate active learning and inquiry-based learning which leads to deep learning. Furthermore, deep learning can be enhanced through elaborately designed content and presentation, specifically, making courseware conform to the principles of multimedia teaching and utilizing learners’ general cognitive ability and language features.
- Copyright
- © 2022 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 - Xia Zhan PY - 2022 DA - 2022/12/27 TI - How to Promote Deep Learning of Chinese Language Learners in Asynchronous Interaction Mode: Taking Recorded Courses as an Example BT - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022) PB - Atlantis Press SP - 432 EP - 440 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-044-2_55 DO - 10.2991/978-94-6463-044-2_55 ID - Zhan2022 ER -