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

<p>Exploring the evaluation of the teaching quality of colleges and universities for applied talent cultivation in the context of big data is to be able better to improve the teaching level of colleges and universities. In this paper, the multi-indicator evaluation method is explained, and the commonly used teaching quality evaluation methods, i.e. hierarchical analysis, entropy weight method and gray correlation analysis, are cited. The basic principle of the hierarchical analysis method is given, the initial weight calculation steps of AHP method are illustrated, and the initial weights of AHP method are combined and solved using the entropy weight method. The evaluation principle of the gray correlation analysis method is given, and the combined weights of the AHP-EWM evaluation are illustrated using the gray correlation analysis method. Finally, universities’ teaching quality evaluation indexes for applied talent cultivation were constructed using the AHPEWM evaluation method, and the indexes were mined and analyzed respectively. From the indicators of theoretical literacy and professional research ability, the overall evaluation of the teaching quality of colleges and universities is 92.77% above the C grade. From the indicators of innovation practice and moral quality, the percentages of students’ evaluation of teaching quality in colleges and universities with A, B, C and D grades are 49.02%, 28.6%, 5.12% and 7.25%, respectively. This shows that the evaluation of teaching quality in colleges and universities is multifaceted, and colleges and universities can improve their teaching level according to different evaluation factors.</p>
</abstract>

Exploring the evaluation of the teaching quality of colleges and universities for applied talent cultivation in the context of big data is to be able better to improve the teaching level of colleges and universities. In this paper, the multi-indicator evaluation method is explained, and the commonly used teaching quality evaluation methods, i.e. hierarchical analysis, entropy weight method and gray correlation analysis, are cited. The basic principle of the hierarchical analysis method is given, the initial weight calculation steps of AHP method are illustrated, and the initial weights of AHP method are combined and solved using the entropy weight method. The evaluation principle of the gray correlation analysis method is given, and the combined weights of the AHP-EWM evaluation are illustrated using the gray correlation analysis method. Finally, universities’ teaching quality evaluation indexes for applied talent cultivation were constructed using the AHPEWM evaluation method, and the indexes were mined and analyzed respectively. From the indicators of theoretical literacy and professional research ability, the overall evaluation of the teaching quality of colleges and universities is 92.77% above the C grade. From the indicators of innovation practice and moral quality, the percentages of students’ evaluation of teaching quality in colleges and universities with A, B, C and D grades are 49.02%, 28.6%, 5.12% and 7.25%, respectively. This shows that the evaluation of teaching quality in colleges and universities is multifaceted, and colleges and universities can improve their teaching level according to different evaluation factors.

Evaluation of teaching quality of universities in the context of big data for the cultivation of application-oriented talents

Tianjin Sino-German University of Applied Sciences

Applied Mathematics and Nonlinear Sciences

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

Exploring the evaluation of the teaching quality of colleges and universities for applied talent cultivation in the context of big data is to be able better to...

Evaluation of teaching quality of universities in the context of big data for the cultivation of application-oriented talents

Publicado en línea: 04 sept 2023

Páginas: -

Recibido: 11 oct 2022

Aceptado: 15 mar 2022

DOI: https://doi.org/10.2478/amns.2023.2.00281

Palabras clave
Hierarchical analysis, Entropy weight method, Gray correlation analysis, AHP-EWM evaluation method, Teaching quality evaluation

© 2023 Lixian Ma, published by Sciendo

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

Evaluation of teaching quality of universities in the context of big data for the cultivation of application-oriented talents

Publicado en línea: 04 sept 2023

Páginas: -

Recibido: 11 oct 2022

Aceptado: 15 mar 2022

DOI: https://doi.org/10.2478/amns.2023.2.00281

Palabras claveHierarchical analysis, Entropy weight method, Gray correlation analysis, AHP-EWM evaluation method, Teaching quality evaluation

© 2023 Lixian Ma, published by Sciendo

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

Palabras clave
Hierarchical analysis, Entropy weight method, Gray correlation analysis, AHP-EWM evaluation method, Teaching quality evaluation