Title :
A Research about Personalized Recommendations in E-Textbook
Author :
Sun Zhong ; Tian Xiaomeng ; Shen Haijiao
Author_Institution :
Capital Normal Univ., Beijing, China
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;
Conference_Titel :
Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-2791-3
DOI :
10.1109/ISDEA.2013.417