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An Adaptive and Personalized English Reading Recommendation System

  • Ting-Ting WuEmail author
  • Shu-Hsien HuangEmail author
Living reference work entry

Abstract

Adaptive and personalized English learning systems are rapidly growing in popularity, providing learning content, and satisfying the demands of learners according to various learning conditions and situations. Appropriate contents can influence learning motivation and even affect learning achievement. Moreover, adaptive learning guiding not only can help learners to promote English skills about vocabulary, sentence, and context comprehension but also effectively reduce the anxiety of learning English and enhance interest in learning English, especially for English as foreign language learners. Therefore, this study developed an adaptive and personalized English reading recommendation learning system. In addition to providing general auxiliary functions (such as vocabulary search, text and figure annotation, and highlighting), this system uses learner ability, article difficulty, and article relevance analyzed from learning portfolios as the computing parameters for recommending suitable articles according to learner needs during the reading process. The proposed system can achieve adaptive and personalized learning.

Keywords

Adaptive and personalized English reading recommendation system Adaptive and recommendation learning systems Annotation functions Annotation listing function Digital learning E-book learning system Learning motives Personal learning process planning system Translation function Vocabulary learning system 

Notes

Acknowledgments

This study was supported by the Ministry of Science and Technology (MOST) under Grant MOST 103-2511-S-224 -004 -MY3 and MOST 104-2511-S-224 -003 -MY3.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Graduate School of Technological and Vocational EducationNational Yunlin University of Science and TechnologyDouliou, YunlinTaiwan
  2. 2.Department of Information and Learning TechnologyNational University of TainanTainanTaiwan

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