Proceedings of the 2017 International Conference on Education Science and Economic Management (ICESEM 2017)

An Empirical Study of New Blended Translation Teaching Model

Authors
Xuelong Jiang
Corresponding Author
Xuelong Jiang
Available Online October 2017.
DOI
https://doi.org/10.2991/icesem-17.2017.98How to use a DOI?
Keywords
blended-teaching model; MOOC; data-driven; imitative writing; translation workshop
Abstract
The aim of this paper is to change traditional models of translation teaching, construct a new and effective blended teaching model, and encourage students to form a habit of autonomous translation learning. Hence, in light of seven years of translation teaching experience, the author develops the new teaching model on the basis of blended-learning theory from the perspectives of MOOC and data-driven learning. This model consists of four steps: MOOC autonomous cognition, corpus data-driven learning, imitative writing and mutual-evaluating by translation workshop. In order to prove its validity, a translation teaching plan is designed according to the above four steps, and questionnaires and deep interviews of learning satisfactions are surveyed. After analyzing the data and satisfactory degrees, we prove that this teaching model is scientific and effective, and it can lead students from conscious imitating into unconsciously creative translating, and finally help them form a positive habit of translation learning.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Xuelong Jiang
PY  - 2017/10
DA  - 2017/10
TI  - An Empirical Study of New Blended Translation Teaching Model
BT  - Proceedings of the 2017 International Conference on Education Science and Economic Management (ICESEM 2017)
PB  - Atlantis Press
SP  - 440
EP  - 443
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesem-17.2017.98
DO  - https://doi.org/10.2991/icesem-17.2017.98
ID  - Jiang2017/10
ER  -