The Application of Data-Driven Learning in Business English Teaching for MBA Students in China: A Critical Assessment
- Jing Shi
Abstract
This paper is aimed at laying foundation for the application of Data-Driven Learning (DDL) in the Master of Business Administration (MBA) English teaching and furthers its development and improvement in different contexts. Therefore, the paper attempts to illustrate the pilot application of an innovative teaching method, DDL, in Business English (BE) teaching for the MBA program. The survey, by using questionnaire and analysis of the data, reveals the positive effects of the DDL application in the MBA program and some disadvantageous aspects which require improvement.
- Full Text: PDF
- DOI:10.5539/ijel.v3n1p26
This work is licensed under a Creative Commons Attribution 4.0 License.
Journal Metrics
Google-based Impact Factor (2021): 1.43
h-index (July 2022): 45
i10-index (July 2022): 283
h5-index (2017-2021): 25
h5-median (2017-2021): 37
Index
- Academic Journals Database
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- CNKI Scholar
- CrossRef
- Excellence in Research for Australia (ERA)
- IBZ Online
- JournalTOCs
- Linguistic Bibliography
- Linguistics and Language Behavior Abstracts
- LOCKSS
- MIAR
- MLA International Bibliography
- PKP Open Archives Harvester
- Scilit
- Semantic Scholar
- SHERPA/RoMEO
- UCR Library
Contact
- Diana XuEditorial Assistant
- ijel@ccsenet.org