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JACIII Vol.28 No.5 pp. 1132-1143
doi: 10.20965/jaciii.2024.p1132
(2024)

Research Paper:

Research on Evaluation of College-Classroom Teaching Quality Based on Pentapartitioned Neutrosophic Cubic Sets and Machine Vision

Huan Ni*1, Fangwei Zhang*2,† ORCID Icon, Jun Ye*3 ORCID Icon, Bing Han*4, and Yuanhong Liu*1

*1School of Navigation and Shipping, Shandong Jiaotong University
1508 Hexing Road, Chucun Town, Huancui District, Weihai City, Shandong Province 246210, China

*2School of International Business, Shandong Jiaotong University
1508 Hexing Road, Chucun Town, Huancui District, Weihai City, Shandong Province 246210, China

Corresponding author

*3School of Civil and Environmental Engineering, Ningbo University
818 Fenghua Road, Jiangbei District, Ningbo City, Zhejiang Province 315211, China

*4Warwick Manufacturing Group, University of Warwick
Coventry CV 7, United Kingdom

Received:
September 17, 2023
Accepted:
June 5, 2024
Published:
September 20, 2024
Keywords:
classroom effect evaluation of students, pentapartitioned neutrosophic cubic set, entropy weight method, machine vision
Abstract

University-teaching quality evaluations are crucial for assessing teachers’ effectiveness and enhancing students’ learning in classrooms. To improve the evaluation efficiency, this study suggests a creative classroom evaluation approach by using machine vision and pentapartitioned neutrosophic cubic set (PNCS). First, this study uses machine vision technology to establish a PNCS to capture the students’ states in classrooms. Second, it proposes four entropy functions to determine the attribute weights. Third, it combines the improved entropy weight functions with the PNCS to evaluate the teaching effectiveness. This study’s practical price is to introduce big data theories into teaching evaluation fields. Last, an example is provided to confirm the efficacy and applicability of the evaluation approach suggested in this study.

Research framework

Research framework

Cite this article as:
H. Ni, F. Zhang, J. Ye, B. Han, and Y. Liu, “Research on Evaluation of College-Classroom Teaching Quality Based on Pentapartitioned Neutrosophic Cubic Sets and Machine Vision,” J. Adv. Comput. Intell. Intell. Inform., Vol.28 No.5, pp. 1132-1143, 2024.
Data files:
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Last updated on Oct. 11, 2024