Research on College English Teaching Based on POA in the Context of Big Data and Oriented at Cultivating Critical Thinking Ability

DOI

10.2991/assehr.k.201030.004How to use a DOI?

Keywords

POA theory, big data, critical thinking, college English

Abstract

Critical thinking ability is an important goal put forward for training students in the new era of big data. For this goal, different education experts and scholars have given different corresponding theories and coping strategies. College English teaching often emphasizes on the explanation of English grammar and knowledge points, as well as language output and input, lays particular stress on English knowledge and skills, but neglects the cultivation of students’ critical thinking ability. Combined with the advantages of information technology in the era of big data and based on the Production-Oriented Approach and the hierarchical model of critical thinking ability as a reference, this paper expounds the critical thinking elements in the Production-Oriented Approach, citing the actual classroom teaching of “New Horizon College English”, discussing the aspects of teaching content, teaching objectives, teaching platform, teaching process, etc. Based on POA theory, this paper sets up the construction of college English classroom oriented to cultivate critical thinking ability, provides some enlightenment for college English reform.

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/).

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TY  - CONF
AU  - Linyang Yuan
PY  - 2020
DA  - 2020/11/02
TI  - Research on College English Teaching Based on POA in the Context of Big Data and Oriented at Cultivating Critical Thinking Ability
BT  - Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
PB  - Atlantis Press
SP  - 15
EP  - 19
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201030.004
DO  - 10.2991/assehr.k.201030.004
ID  - Yuan2020
ER  -