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Non-Linear Intelligence Flexibility Management of Talents in Private Higher Vocational Yunnan College, China

Non-Linear Intelligence Flexibility Management of Talents in Private Higher Vocational Yunnan College, China

Xue Gang, Zhong Wu Li
Copyright: © 2022 |Volume: 18 |Issue: 3 |Pages: 11
ISSN: 1548-3673|EISSN: 1548-3681|EISBN13: 9781799893882|DOI: 10.4018/IJeC.307134
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MLA

Gang, Xue, and Zhong Wu Li. "Non-Linear Intelligence Flexibility Management of Talents in Private Higher Vocational Yunnan College, China." IJEC vol.18, no.3 2022: pp.1-11. http://doi.org/10.4018/IJeC.307134

APA

Gang, X. & Li, Z. W. (2022). Non-Linear Intelligence Flexibility Management of Talents in Private Higher Vocational Yunnan College, China. International Journal of e-Collaboration (IJeC), 18(3), 1-11. http://doi.org/10.4018/IJeC.307134

Chicago

Gang, Xue, and Zhong Wu Li. "Non-Linear Intelligence Flexibility Management of Talents in Private Higher Vocational Yunnan College, China," International Journal of e-Collaboration (IJeC) 18, no.3: 1-11. http://doi.org/10.4018/IJeC.307134

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Abstract

Nonlinear intelligence focuses on the multi-facet structure of the human intelligence, which includes but not limited to skills, experiences, qualifications, and practices. In this study, nonlinear intelligence was studied in the vocational YunNan, college of business management and vocational institutions in China. Data was collected through structured questionnaire adopted from previous studies and was incorporated in the current studies with the consultations of experts and academicians. SPSS was used to assess the means scores of the constructs under investigations. The results indicate that linear style of intelligence management is found in the teaching-learning processes in the vocational institutions. The results are also correlated with the contextual practices and experiences, that vocational graduates lack risk-taking behaviors. The study further recommends that the universities and the vocational colleges should change their teaching-learning styles to covert the learning and working mechanism to sort the real-world problems in a more real way.

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