A Study on the Influence of Data-driven TCM English Corpus on Teachers' Job Burnout in ESP Teaching

2021 3rd International Conference on Internet Technology and Educational Informization (ITEI) Pub Date : 2021-12-01 DOI:10.1109/ITEI55021.2021.00069

Zheqian Su

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Abstract

To investigate the current situation of teachers' job burnout in ESP teaching in a domestic college of traditional Chinese medicine (TCM), and put forward the data-driven model of TCM English corpus to effectively improve job burnout. Methods: using the method of random sampling, teachers (n=30) were selected for grouping experiments. The self-made TCM English Corpus Data-driven Effectiveness Scale and Maslach Burnout Inventory-Educators Survey (MBI-ES) were used for measurement, and the relevant data were statistically analyzed by SPSS 24.0. Results: 1 The teachers' job burnout in ESP teaching in Colleges and universities of TCM was at a serious level; 2 The data-driven effectiveness of TCM English corpus can alleviate teachers' job burnout; 3 The data-driven effectiveness of TCM English corpus can significantly predict teachers' job burnout. Conclusion: Based on the data-driven theory, the effective application of TCM English Corpus in ESP teaching can solve the problem of job burnout faced by English teachers.

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数据驱动的中医英语语料库对ESP教学中教师职业倦怠的影响研究

调查国内某中医院校ESP教学中教师职业倦怠的现状，提出中医英语语料库数据驱动模型，有效改善教师职业倦怠。方法:采用随机抽样的方法，选取30名教师进行分组实验。采用自制中医英语语料库数据驱动有效性量表和Maslach职业倦怠量表-教育者调查问卷(MBI-ES)进行测量，相关数据采用SPSS 24.0进行统计分析。结果:1中医院校ESP教学中教师职业倦怠程度严重;2中医英语语料库的数据驱动有效性可以缓解教师的职业倦怠;3中医英语语料库数据驱动有效性对教师职业倦怠有显著预测作用。结论:基于数据驱动理论，中医英语语料库在ESP教学中的有效应用可以解决英语教师面临的职业倦怠问题。

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2021 3rd International Conference on Internet Technology and Educational Informization (ITEI)

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