The Design of English Article Recommender Mechanism for Senior High School Students
Advanced Learning Technologies（2012）
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.
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Key words
esl learner,interesting english article,english article recommender mechanism,senior high school students,english news,particular article,proposed mechanism work,adequate difficulty vocabulary level,english learner,english proficiency,appropriate english article,english article,recommender systems,databases,cosine similarity,bayesian methods,accuracy,humanities,collaborative filtering,support vector machines,recommender system,natural languages
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