On the Cultivation of College Students' Autonomous English Learning Ability In the Age of Big Data

DOI

10.2991/essaeme-17.2017.324How to use a DOI?

Keywords

Big data age, College students, Learning mode

Abstract

The coming of the big data age has a revolutionary impact on the development of society, which has promoted changes in thinking, business and management. In the same way education is also greatly affected. Universities are the cradle of creative talents. Under the impact of big data, the traditional university learning model is challenged and is needed badlyto change. The author holds the opinion that in the future the learning pattern of college students will be changed from passive to autonomous. The transition to lifelong learning depends on the synergy of students, teachers and schools. In the big data era , how to make good use of data platform to stimulate the enthusiasm of students' English learning and improve their autonomous learning English ability is a problem which should be solved currently in the research of college English teaching. Autonomous learning is the main form of college students' learning, and it is a necessary condition for the comprehensive development of college students.This paper introduces the current situation of college students' autonomous learning, discusses the necessity of college students' English autonomous learning, and puts forward several methods of training college English autonomous learning ability.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhaoying Li
PY  - 2017/07
DA  - 2017/07
TI  - On the Cultivation of College Students' Autonomous English Learning Ability In the Age of Big Data
BT  - Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-17.2017.324
DO  - 10.2991/essaeme-17.2017.324
ID  - Li2017/07
ER  -