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Higher Vocational Students' Innovation and Entrepreneurship Ability Demand Prediction.

Authors :
Peng Li
Lihua Gong
Yi Miao
Yuhuan Zhao
Aiping Li
Hongxia Ren
Source :
International Journal of Emerging Technologies in Learning; 2023, Vol. 18 Issue 8, p196-209, 14p
Publication Year :
2023

Abstract

The new era background and new social background put forward higher goals for the cultivation of innovative talents. The accurate prediction of the demand for innovation and entrepreneurship vocational ability of higher vocational students provides an important reference for higher vocational educators to formulate refined innovation and entrepreneurship education management strategies, more balanced allocation of limited innovation and entrepreneurship education resources, and make more scientific innovation and entrepreneurship education decisions. This paper studies the prediction of innovation and entrepreneurship vocational ability demand of higher vocational students under the background of digital informatization and theoretically discusses the demand for innovation and entrepreneurship vocational ability of higher vocational students and its connotation. It constructs the demand prediction framework of innovation and entrepreneurship vocational ability of higher vocational students for data identified on the Knowledge Retrieval Engine or High-quality Knowledge Q&A and Sharing Community, and develops the collection and use methods of students' innovation and entrepreneurship resource retrieval data. It makes the feature selection of the keyword sequence and the corresponding time lag sequence selected by the higher vocational students' innovation and entrepreneurship resource retrieval and builds the prediction model of the vocational ability demand for innovation and entrepreneurship of higher vocational students. Experimental results verify the effectiveness of the proposed model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18630383
Volume :
18
Issue :
8
Database :
Supplemental Index
Journal :
International Journal of Emerging Technologies in Learning
Publication Type :
Academic Journal
Accession number :
163302197
Full Text :
https://doi.org/10.3991/ijet.v18i08.39249