Improving Teaching Quality Assessment in Smart Classrooms for English Majors: An Integrated Double-Valued Neutrosophic Decision-Making Model

Abstract

The evaluation of multimedia-based college English teaching aims to assess the 
impact of multimedia technology on teaching quality and student learning outcomes. With 
the introduction of multimedia, classroom interactivity is enhanced, and students' interest 
and engagement are increased. Additionally, multimedia provides more opportunities for 
self-directed learning, helping students reinforce knowledge outside the classroom. However, 
the evaluation must focus on the alignment of technology with teaching objectives and 
whether the use of multimedia truly improves students' language skills and classroom 
efficiency. The evaluation of smart classroom teaching quality for English majors in 
universities is a multi-attribute decision-making (MADM) problem. Recently, methods such 
as the TOPSIS approach have been applied to tackle these challenges. Double-Valued 
Neutrosophic Sets (DVNSs) are used to represent fuzzy data in the evaluation process. In this 
study, a Double-Valued Neutrosophic Number TOPSIS (DVNN-TOPSIS) approach is 
proposed to address MADM problems involving DVNSs. Finally, a numerical case study on 
the quality evaluation of smart classroom teaching for English majors is provided to 
demonstrate the effectiveness of the DVNN-TOPSIS approach. 

DOI: 10.5281/zenodo.14031681