Creating a Quality Evaluation System for Foreign Language Talents in Application-oriented Universities Based on the Integration of Big-data and Artificial Intelligence

DOI: https://doi.org/10.62517/jhet.202415229

Author(s)

Li Wenping, Guan Hui

Affiliation(s)

Department of Foreign Languages, Qingdao City University, Shandong, China

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.

Keywords

Digital Intelligence Integration; Foreign Language Talents; Full Process; Quality Evaluation System

References

[1] Li Juan, Sun Xue, Wang Shouqing. Constructing an External Quality Assessment System for Professional Master's Education: A Qualification Certification-oriented Approach [J]. Heilongjiang Higher Education Research, 2010 (11): 57-59. [2] Zhao Guanghuai, Zhou Jianwei. Research on the Construction of External Evaluation System of Teaching Quality in Local Colleges and Universities [J]. Journal of Linyi University, 2023, 45(06): 147-155+184. DOI: 10.13950/j.cnki.jlu.2023.06.015 [3] Jin Haiyan. Research on the Talent Cultivation Mechanism of Innovative and Entrepreneurship in Foreign Language Major under the Big Data Background [J]. Journal of Hubei Open Vocational College, 2023, 36(17): 21-22+25.