Title :
The Design of English Article Recommender Mechanism for Senior High School Students
Author :
Chi, Chen-Chung ; Kuo, Chin-Hwa
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Tamsui, Taiwan
Abstract :
For most English learners, reading English articles has always been a good way of improving the English proficiency. However, it is not easy to select interesting English articles of adequate difficulty vocabulary level. The purpose of this work is to devise a mechanism for selecting appropriate English articles for ESL learners in Taiwan. The proposed mechanism works by indicating whether a particular article, e.g., English news, is adequate in difficulty for the senior high school students in Taiwan.
Keywords :
collaborative filtering; computer aided instruction; humanities; natural languages; recommender systems; vocabulary; ESL learners; English article recommender mechanism design; English learners; English news; English proficiency improvement; Taiwanese senior high school students; vocabulary; Accuracy; Bayesian methods; Databases; Educational institutions; Support vector machines; Tagging; Vocabulary; cosine similarity; recommender system; smoothed unigram model;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-1642-2
DOI :
10.1109/ICALT.2012.198
