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Frontiers in Educational Research, 2022, 5(18); doi: 10.25236/FER.2022.051801.

Strategies for cultivating professional competence of business English talents under the concept of CBI Teaching

Author(s)

Lilin Liu

Corresponding Author:
Lilin Liu
Affiliation(s)

Department of Humanities and Law, Nanchang Jiaotong Institute, Nanchang, China

Abstract

In view of the poor effect of professional ability training of business English talents at present, this paper puts forward the professional ability training strategy of business English talents under the CBI teaching concept, standardizes the professional ability evaluation algorithm of business English talents and optimizes the professional ability training mode of English talents by combining the business English talent teaching mode under the CBI teaching concept. Finally, it is confirmed by experiments, Under the CBI teaching concept, the practical effect of business English talent professional ability training strategy is obvious, which can better improve the business English teaching effect and promote the quality of English talent training.

Keywords

CBI teaching; Business English; Personnel training; English ability

Cite This Paper

Lilin Liu. Strategies for cultivating professional competence of business English talents under the concept of CBI Teaching. Frontiers in Educational Research (2022) Vol. 5, Issue 18: 1-6. https://doi.org/10.25236/FER.2022.051801.

References

[1] E Heyden, J Küchenhof, E Greve, D Krause. 2020, Development of a Design Education Platform for an Interdisciplinary Teaching Concept [J]. Procedia CIRP, 91(5):553-558.

[2] Gibbons R E, Raker J R. 2019, Self-beliefs in organic chemistry: Evaluation of a reciprocal causation, cross-lagged model [J]. Journal of research in science teaching, 56(5):598-618.

[3] Raisanen T. 2020, The Use of Multimodal Resources by Technical Managers and Their Peers in Meetings Using English as the Business Lingua Franca [J]. IEEE Transactions on Professional Communication, 63(2):172-187.

[4] Xu S, Zhang M, Hou L. 2019, Formulating a learner model for evaluating construction workers' learning ability during safety training[J]. Safety Science, 116(8):97-107.

[5] Z Liu, T Wen, W Sun, Q Zhang. 2020, Semi-supervised self-training Feature weighted clustering decision tree and random forest [J]. IEEE Access, PP (99):1-1.