Issue |
E3S Web Conf.
Volume 179, 2020
2020 International Conference on Environment and Water Resources Engineering (EWRE 2020)
|
|
---|---|---|
Article Number | 02092 | |
Number of page(s) | 4 | |
Section | Environmental and Industrial Design | |
DOI | https://doi.org/10.1051/e3sconf/202017902092 | |
Published online | 23 July 2020 |
Application of AI thinking visualization tool in the foreign language reading teaching
1 School of Foreign Languages, Dalian Polytechnic University, Dalian, Liaoning, China
2 School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan
3 Research Institute of Photonics, Dalian Polytechnic University, Dalian, Liaoning, China
∗ Corresponding author’s e-mail: hare677@126.com
AI thinking visualization tool can express the knowledge in the brain in a graphical way. It can form an external manifestation of knowledge directly affecting the human senses, which is of great help for learners to improve their understanding, memory and thinking skills. In this research, we studied the mind mapping training through AI thinking visualization tool in the reading teaching of foreign language courses. The results indicated that via the independent establishment of a foreign language reading material framework based on AI thinking visualization tool, students’ thinking skills and reading ability have been enhanced, learning enthusiasm has been improved, and good teaching results have been achieved.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.