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Design and Implementation of Adaptive Push APP Based on Android for Fragmented English Reading Resources

  • Jianmin Zhang
  • Min XieEmail author
  • Bo Yuan
  • Min Wang
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 299)

Abstract

In the situation of mobile fragmentation learning, learning methods are becoming more and more mobile, and learning resources for English reading are becoming more and more abundant. It is difficult for learner to find the resources needed for his personalized learning quickly. This paper designs the five-dimensional characteristics of learner and the three-dimensional features of English reading resources in the fragmented learning environment. Combined with the ID3 algorithm, an auto-adaptive recommendation model for fragmented English reading resources is constructed. Based on this, and then according on the principles and methods of software engineering, an auto-adaptive recommendation APP for fragmented English reading resources based on Android is designed and implemented from three aspects: system analysis, system design and key technology implementation, to improve learner’s English reading ability by pushing English reading resources that meet learner’s individualized needs.

Keywords

Fragmentation learning Adaptive push Mobile learning APP English reading Design and implementation 

Notes

Acknowledgments

The research is supported by a National Nature Science Fund Project (Nos. 61562093, 61661051), Key Project of Applied Basic Research Program of Yunnan Province (Nos. 2016FA024), Program for innovative research team (in Science and Technology) in University of Yunnan Province, Research Project of Undergraduate Education and Teaching Reform in Yunnan Normal University (Nos. YNJG201838) and Starting Foundation for Doctoral Research of Yunnan Normal University.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Yunnan Normal UniversityKunmingChina
  2. 2.Key Laboratory of Educational Information for NationalitiesMinistry of EducationKunmingChina

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