The Process-oriented Assessment Model of Business English Translation Course in a Flipped Learning Context

Author:

Deng Lijun

Abstract

Based on the preliminary research findings in the project-based flipped learning model in Business English Translation course, this study designed a process-oriented assessment model for this course and tested its efficacy by an empirical study on 181 third-year English major students divided into three experimental class and three control class under a flipped learning context. The process-oriented assessment model in Business English Translation course is both synchronic and diachronic, by incorporating multiple assessment subjects including both the teacher and the students and the complete learning activities before, during and after class. This study conducted a pre-test and an after-test to examine the students’ command of key translation knowledge and skills, and meanwhile, to evaluate the improvement of students’ translation competence after the implementation of the process-oriented assessment mode. Questionnaires and surveys were also employed in this study so as to collected students’ response to the new assessment model. The data and results collected from the above-mentioned research methods indicate that the process-oriented assessment model can significantly enhance students’ motivation and performance in Business English Translation course.

Publisher

Canadian Center of Science and Education

Subject

Industrial and Manufacturing Engineering,Surfaces, Coatings and Films

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The impact of flipped classroom teaching on college English language learning: A meta-analysis;International Journal of Educational Research;2023

2. English Business Vocabulary Dual Meaning Perception in Early ESP Learners;2022 7th International Conference on Business and Industrial Research (ICBIR);2022-05-19

3. Design of Multichannel Resource Adaptive Scheduling Algorithm for English Online Translation Teaching;Wireless Communications and Mobile Computing;2022-03-29

4. Multisensor Feature Fusion-Based Model for Business English Translation;Scientific Programming;2022-01-31

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