A Research about Personalized Recommendations in E-Textbook

Author

Sun Zhong ; Tian Xiaomeng ; Shen Haijiao

Author_Institution

Capital Normal Univ., Beijing, China

fYear

2013

fDate

6-7 Nov. 2013

Firstpage

44

Lastpage

47

Abstract

The emergence of e-textbooks for teachers and students provides massive teaching resources. How to get the the resources they need from the vast amounts of resources, it will become the key of personalized teaching in a large class. In this paper, we chose the e-Textbooks of Primary English on the e-Book platforms and presents a personalized recommendation mechanism. It chose the suitable resources through knowledge learning relevant, individual cognitive level, individual learning styles.

Keywords

computer aided instruction; linguistics; natural languages; recommender systems; teaching; cognitive level; e-book platforms; knowledge learning; learning styles; personalized recommendation mechanism; personalized teaching resources; primary English e-textbooks; Artificial intelligence; Computational modeling; Data models; Dynamic scheduling; Educational institutions; Electronic publishing; clutter suppression; dim target detection; independent component analysis (ICA); kurtosis criterion; radar signal processing; signal separation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on

Conference_Location

Zhangjiajie

Print_ISBN

978-1-4799-2791-3

Type

conf

DOI

10.1109/ISDEA.2013.417

Filename

6843394