Intelligent recruitment system based on big data analysis

Yafang Zhi

doi:10.1117/12.3025572

8 April 2024 Intelligent recruitment system based on big data analysis

Yafang Zhi

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 1309043 (2024) https://doi.org/10.1117/12.3025572
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

With the increasing emphasis on teacher selection in higher education, how to select excellent teachers to join the teaching team has become an increasingly concerned issue. However, the recruitment of teachers in higher education, especially in applied universities or vocational colleges, mainly relies on traditional recruitment methods, the process is cumbersome, the recruitment cycle is long, the work efficiency is low, and the recruitment is subjective and lacks of science. Therefore, colleges and universities are eager to develop a set of scientific and intelligent teacher recruitment analysis systems to help college teachers’ recruitment decision-making. This study makes use of data mining technology to analyze the important influencing factors of excellent teachers by collecting and analyzing their graduation colleges, appearance, expression ability, professional ability, and trial classroom effect, and then mining and constructing the selection model of excellent teachers. On this basis, the intelligent analysis system of teacher selection is developed to evaluate and analyze the teachers involved in the recruitment and to assist in the selection and decision of teachers.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yafang Zhi "Intelligent recruitment system based on big data analysis", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 1309043 (8 April 2024); https://doi.org/10.1117/12.3025572

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