Author
Abstract
In our contemporary life, various information technologies are changing our lives, and the development of information technology has also provided a certain degree of convenience for the development of education. Now, every country attaches great importance to the development of the informatization of education. This article aims to study how to apply artificial intelligence content and control algorithms to the English listening mode of a flipped classroom. The main purpose of the article is how to make the flipped classroom more intelligent, enrich the content of the classroom, and devote itself to improving children's learning efficiency. This article proposes the application of the PSO algorithm in the flipped classroom to help students learn more intelligently and conveniently in this mode of teaching. They can help children improve their academic performance faster and learn more efficiently. The experimental results of this article show that nearly 65.63% of students are familiar with the teaching method of using animation video to train English listening, and nearly 70% of students are very willing to use this teaching method to learn; using more artificial intelligence fusion control algorithms for us, this teaching mode is used for some simplification and assistance. The average test score of the experimental class (82.95 points) is higher than the posttest score of the control class (79.9 points), the excellence rate of the experimental class is 38%, the pass rate is 100%, and the control class has an excellent rate of 32% in the posttest score. The passing rate was 86.7%. Further analysis shows that, in the posttest scores of the experimental class, the excellent rate and the passing rate have increased, respectively. After the test, the scores of the students in the experimental class have improved greatly compared with the control class. The overall performance of the students has improved significantly.
Suggested Citation
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:6005359. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.