A Study on the Application of Artificial Intelligence in the Blended Teaching Mode—Take College Japanese Course as an Example
- DOI
- 10.2991/978-94-6463-238-5_12How to use a DOI?
- Keywords
- blended teaching; college Japanese course; Artificial Intelligence; teaching mode; REINFORCE algorithm
- Abstract
The vigorous development of modern education and information technology has provided foreign language teaching with high-quality teaching resources as well as diverse modern teaching methods and teaching tools. In this study, a new blended teaching mode that meets the actual needs of the current College Japanese course is constructed by using the multifunctional online teaching platform from three aspects: pre-class, in-class, post-class. A REINFORCE algorithm is employed to recommend suitable learning materials for students by assessing their learning status and needs. The specific methods of blended teaching are summarized in the hope of providing a reference for further innovation of AI-based teaching technology as well as for improving the effectiveness of Japanese language teaching in the future.
- 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 - Wenyan Cui AU - Nan Zhang PY - 2023 DA - 2023/09/26 TI - A Study on the Application of Artificial Intelligence in the Blended Teaching Mode—Take College Japanese Course as an Example BT - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023) PB - Atlantis Press SP - 83 EP - 91 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-238-5_12 DO - 10.2991/978-94-6463-238-5_12 ID - Cui2023 ER -