Research Article
Design and Implementation of Adaptive Push APP Based on Android for Fragmented English Reading Resources
@INPROCEEDINGS{10.1007/978-3-030-35095-6_1, author={Jianmin Zhang and Min Xie and Bo Yuan and Min Wang}, title={Design and Implementation of Adaptive Push APP Based on Android for Fragmented English Reading Resources}, proceedings={e-Learning, e-Education, and Online Training. 5th EAI International Conference, eLEOT 2019, Kunming, China, August 18--19, 2019, Proceedings}, proceedings_a={ELEOT}, year={2019}, month={11}, keywords={Fragmentation learning Adaptive push Mobile learning APP English reading Design and implementation}, doi={10.1007/978-3-030-35095-6_1} }- Jianmin Zhang
Min Xie
Bo Yuan
Min Wang
Year: 2019
Design and Implementation of Adaptive Push APP Based on Android for Fragmented English Reading Resources
ELEOT
Springer
DOI: 10.1007/978-3-030-35095-6_1
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.
