Affiliations: [a] School of Arts and Sciences, Bowen College of Management Guilin University of Technology, Guilin, China
| [b] School of Foreign Language and International Business, Guilin University of Aerospace Technology, Guilin, China
Correspondence:
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Corresponding author. Tang Lin, School of Foreign Language and International Business, Guilin University of Aerospace Technology, Guilin, 541004, China. E-mail: [email protected].
Abstract: English reading plays an important role in promoting oral English and comprehensive English ability. At present, the traditional online reading mode is less effective. In order to change the shortcomings of traditional education, this article builds on the artificial intelligence algorithm and combines the spoken language spectrum algorithm to build the system. Moreover, this article combines with the actual needs to put forward endpoint detection and judgment criteria based on spectral entropy information, establishes a mathematical model of knowledge forgetting, and obtains an intelligent memory algorithm to guide students in personalized learning. In order to verify the effect of the model, this article takes the students in the experimental class and the control class as the experimental objects and compares the spoken pronunciation of the students and the comprehensive English scores of the students after the experiment. The research results show that the artificial intelligence-based English multimodal online reading mode platform constructed in this article has certain effects and can effectively improve students’ English scores.
Keywords: Artificial intelligence, English multimodal online reading, model
construction, teaching model
