Research on English teaching information pushing method based on intelligent adaptive learning platform.

Citation metadata

Authors: Mingqi Wang and Yuanyuan Wang
Date: Feb. 10, 2021
Publisher: Inderscience Publishers Ltd.
Document Type: Brief article
Length: 140 words

Document controls

Main content

Abstract :

In order to overcome the existing problems of long time, low matching degree of information and user interest, and high average absolute error of English teaching information. This paper proposes a new method of English teaching information push based on intelligent adaptive learning platform. The classification of English teaching information shortens the time of English teaching information push. GN algorithm is used to partition user community network. The information label model, user label model and Bayesian classifier are combined to complete the push of English teaching information. Experimental results show that this method can provide users with about two seconds of English teaching information, saving more than half of the time. The usefulness of push in English information is up to 98%, and the error rate of push in English information is less than 0.2%. Byline: Mingqi Wang, Yuanyuan Wang

Source Citation

Source Citation   

Gale Document Number: GALE|A659126084