<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The current education and evaluation systems for vocational literacy in higher vocational institutions are inadequate, hindering high-quality talent development. This study utilizes the hierarchical-gray correlation method to construct an evaluative framework for assessing vocational literacy, identifying key indices through a judgment matrix scaling method. We further refine our analysis using the Analytic Network Process (ANP) method to calculate the influence between indices, culminating in a comprehensive student vocational literacy evaluation model. Notably, our approach disregards dimensions in index evaluation, computing a final comprehensive score. The quality of our empirical investigation was assured through extreme value and homogeneity tests, revealing a Consistency Ratio (CR) between −26 and −20 (absolute value > 3) and a correlation coefficient (r) between 0.601 and 0.893 (absolute value &lt; 0.4), with a significance level (P value) of 0.000, indicating high survey quality. Analysis of 21 tertiary components yielded an average score of 3.5260, with 42.86% of indices surpassing this average, suggesting generally good vocational literacy among students.</p>
</abstract>

The current education and evaluation systems for vocational literacy in higher vocational institutions are inadequate, hindering high-quality talent development. This study utilizes the hierarchical-gray correlation method to construct an evaluative framework for assessing vocational literacy, identifying key indices through a judgment matrix scaling method. We further refine our analysis using the Analytic Network Process (ANP) method to calculate the influence between indices, culminating in a comprehensive student vocational literacy evaluation model. Notably, our approach disregards dimensions in index evaluation, computing a final comprehensive score. The quality of our empirical investigation was assured through extreme value and homogeneity tests, revealing a Consistency Ratio (CR) between −26 and −20 (absolute value > 3) and a correlation coefficient (r) between 0.601 and 0.893 (absolute value < 0.4), with a significance level (P value) of 0.000, indicating high survey quality. Analysis of 21 tertiary components yielded an average score of 3.5260, with 42.86% of indices surpassing this average, suggesting generally good vocational literacy among students.

Research on the Evaluation of Higher Vocational Students’ Occupational Literacy in the Context of Big Data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The current education and evaluation systems for vocational literacy in higher vocational institutions are inadequate, hindering high-quality talent...

Research on the Evaluation of Higher Vocational Students’ Occupational Literacy in the Context of Big Data

Published Online: May 03, 2024

Page range: -

Received: Apr 04, 2024

Accepted: Apr 14, 2024

DOI: https://doi.org/10.2478/amns-2024-0911

Keywords
Hierarchical-gray correlation, Scale method, Dimensionless processing, Homogeneity test, Vocational literacy evaluation

© 2024 Yanli Zhou, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the Evaluation of Higher Vocational Students’ Occupational Literacy in the Context of Big Data

Published Online: May 03, 2024

Page range: -

Received: Apr 04, 2024

Accepted: Apr 14, 2024

DOI: https://doi.org/10.2478/amns-2024-0911

KeywordsHierarchical-gray correlation, Scale method, Dimensionless processing, Homogeneity test, Vocational literacy evaluation

© 2024 Yanli Zhou, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Hierarchical-gray correlation, Scale method, Dimensionless processing, Homogeneity test, Vocational literacy evaluation