Article: Indicators and characteristics of career visualisation ability based on cloud computing Journal: International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL) 2025 Vol.35 No.8 pp.92 - 112 Abstract: Professional core competitiveness is the content that all countries in the world pay attention. Especially in the information age, with the rapid development of artificial intelligence, how to better adapt to the professional environment is an urgent problem that needs to be solved. At present, there are problems with the evaluation of occupational visualisation ability and feature construction, such as large data differences, difficulty in fusion, and difficulty in efficiently extracting and standardising various occupational data. Moreover, due to the lack of adaptability and flexibility in the adopted technical means, the ability to analyse and express data is limited. To solve this problem, this paper takes cloud computing as the main technology and constructs an index system of individual visualisation ability. It meets the requirements of modern personnel training and promotes social development base on meeting individual development needs. The index system includes five dimensions: learning development ability, work communication ability, organisational integration ability, career transformation ability, and emotional control ability. There are four reference variables under each dimension. The reliability analysis of the scale of this index system shows that the internal consistency reliability coefficient, retest reliability coefficient, and split-half reliability coefficient of other subscales and total scales are above 0.84, except for the three reliability coefficients of career transformation ability subscales ranging from 0.75 to 0.77. Inderscience Publishers - linking academia, business and industry through research

Title: Indicators and characteristics of career visualisation ability based on cloud computing

Authors: Zhen Zhang; Guixin Luo; Min Zhang

Addresses: Admissions and Employment Office, Institute of Disaster Prevention, Sanhe, 065201, Hebei, China ' Department of Student Affairs, Institute of Disaster Prevention, Sanhe, 065201, Hebei, China ' School of Film, Jilin Animation Institute, Changchun 130000, Jilin Province, China

Abstract: Professional core competitiveness is the content that all countries in the world pay attention. Especially in the information age, with the rapid development of artificial intelligence, how to better adapt to the professional environment is an urgent problem that needs to be solved. At present, there are problems with the evaluation of occupational visualisation ability and feature construction, such as large data differences, difficulty in fusion, and difficulty in efficiently extracting and standardising various occupational data. Moreover, due to the lack of adaptability and flexibility in the adopted technical means, the ability to analyse and express data is limited. To solve this problem, this paper takes cloud computing as the main technology and constructs an index system of individual visualisation ability. It meets the requirements of modern personnel training and promotes social development base on meeting individual development needs. The index system includes five dimensions: learning development ability, work communication ability, organisational integration ability, career transformation ability, and emotional control ability. There are four reference variables under each dimension. The reliability analysis of the scale of this index system shows that the internal consistency reliability coefficient, retest reliability coefficient, and split-half reliability coefficient of other subscales and total scales are above 0.84, except for the three reliability coefficients of career transformation ability subscales ranging from 0.75 to 0.77.

Keywords: cloud computing technology; professional ability improvement; visual indicators of vocational ability; professional ability characteristics.

DOI: 10.1504/IJCEELL.2025.149035

International Journal of Continuing Engineering Education and Life-Long Learning, 2025 Vol.35 No.8, pp.92 - 112

Received: 04 Feb 2025
Accepted: 03 Jun 2025
Published online: 10 Oct 2025 *

Title: Indicators and characteristics of career visualisation ability based on cloud computing

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