Study on the Teaching Strategies of Reading Foreign Literary Classics in the Context of Big Data
Authors
Xiaoning Tian, Qian Zhao
Corresponding Author
Qian Zhao
Available Online 18 December 2020.
- DOI
- 10.2991/assehr.k.201215.310How to use a DOI?
- Keywords
- text dialogue, individualized learning, extended classroom space
- Abstract
There are many shortcomings in the teaching of reading traditional literary classics. Against the background of the development of big data today, the advantages of big data should be used to guide students to read literary classics. Specific methods are as follows: using big data to communicate with text, individualized learning under big data, using big data to create new forms of text interpretation, using big data to extend classroom space, and the construction of a new reading model of big data. This paper tries to provide some feasible methods for the teaching of reading literary classics.
- Copyright
- © 2020, 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/).
Cite this article
TY - CONF AU - Xiaoning Tian AU - Qian Zhao PY - 2020 DA - 2020/12/18 TI - Study on the Teaching Strategies of Reading Foreign Literary Classics in the Context of Big Data BT - Proceedings of the 7th International Conference on Education, Language, Art and Inter-cultural Communication (ICELAIC 2020) PB - Atlantis Press SP - 89 EP - 92 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.201215.310 DO - 10.2991/assehr.k.201215.310 ID - Tian2020 ER -