Research Article
Research and Analysis of Talent Training Programmes Based on Big Data Background and Ideological and Political Models
@INPROCEEDINGS{10.4108/eai.29-3-2024.2347641, author={Tengwei Qiu and Zhengcai Wang}, title={Research and Analysis of Talent Training Programmes Based on Big Data Background and Ideological and Political Models}, proceedings={Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29--31, 2024, Wuhan, China}, publisher={EAI}, proceedings_a={EIMT}, year={2024}, month={6}, keywords={big data background; ideological--political elements; german dual-system; molding machinist; talent training}, doi={10.4108/eai.29-3-2024.2347641} }- Tengwei Qiu
Zhengcai Wang
Year: 2024
Research and Analysis of Talent Training Programmes Based on Big Data Background and Ideological and Political Models
EIMT
EAI
DOI: 10.4108/eai.29-3-2024.2347641
Abstract
This study is based on the background of big data algorithms. The aim of the study was to improve the quality of training in higher vocational education, and the German dual system model was implemented in the talent development programme for forming machinists. In addition, forming machinists were trained in the fields of forming design and professional practical forming machinery manufacturing by incorporating ideological and political elements in the curriculum. This process included adjusting the existing talent training programme, developing curriculum resources, forming a team of highly qualified teachers, reforming assessment methods and evaluation elements, and organising learning seminars. The three-year talent training programme was implemented in Ningbo Vocational and Technical College's forming design and manufacturing programme, and 94% of the students obtained the vocational qualification certificate for forming and machining workers after the project was completed. The study provides a reference for talent cultivation in higher vocational colleges.