Creating a Quality Evaluation System for Foreign Language Talents in Application-oriented Universities Based on the Integration of Big-data and Artificial Intelligence
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Abstract
The emergence of AI language intelligence model, ChatGPT, has brought new opportunities and challenges to the intelligent education in the field of foreign languages at the end of 2022. Therefore, the full-process quality evaluation of foreign language talents is particularly critical. This study aims to construct a scientifically rational quality evaluation system for application-oriented undergraduate institutions from a full-process perspective based on digital intelligence integration. The construction of this evaluation system uses the process management theory of Total Quality Management (TQM) and is based on a full-process perspective from enrollment to employment, covering the entire talent cultivation process in application-oriented undergraduate institutions.
Publication details
- DOI
- 10.62517/jhet.202415229
- OpenAlex
- W4401076526
- Document type
- article
- Language
- EN
- Source
- Journal of higher education teaching.
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