Research on English teaching information pushing method based on intelligent adaptive learning platform Online publication date: Tue, 20-Apr-2021
by Mingqi Wang; Yuanyuan Wang
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 31, No. 2, 2021
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%.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook