P-Indeterminate Vector Similarity Measures Neutrosophic Framework for University Smart Classroom Construction Quality Based on Interactive Teaching Platforms

Authors

  • Juan Yu Hubei Preschool Education Research Center, Hubei University of Education, Wuhan, 430205, Hubei, China
  • Wei Zhang Hubei Teacher Education Research Center, Hubei University of Education, Wuhan, 430205, Hubei, China

Keywords:

P-Indeterminate Vector Similarity Measures Neutrosophic; University Smart Classroom Construction; Interactive Teaching Platforms.

Abstract

One of the main forces behind the modernization of education is the development of 
smart classrooms at universities that are backed by interactive teaching platforms. With an 
emphasis on six fundamental criteria, technological infrastructure, platform interaction, 
instructional efficacy, student engagement, accessibility, and sustainability, this research 
investigates the quality aspects of building smart classrooms. The study illustrates how 
interactive platforms improve learning outcomes and instructional efficiency by looking at these 
variables. This study uses the neutrosophic number methodology to rank the alternatives and 
overcome uncertainty in the decision making. According to the research, excellent smart 
classrooms not only make the most of cutting-edge technology but also provide welcoming, 
student-focused spaces that encourage cooperation, creativity, and individualized instruction. In 
the end, the study highlights that creating a smart classroom involves more than just integrating 
technology; it also entails changing teaching strategies to meet the demands of students in the 
digital age. 

 

DOI: 10.5281/zenodo.17036878

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Published

2025-12-20

How to Cite

Juan Yu, & Wei Zhang. (2025). P-Indeterminate Vector Similarity Measures Neutrosophic Framework for University Smart Classroom Construction Quality Based on Interactive Teaching Platforms. Neutrosophic Sets and Systems, 93, 636-647. https://fs.unm.edu/nss8/index.php/111/article/view/7188