Neutrosophic Aggregation (INPOWA) Operator for Empirical Insights into Teaching Value: A Case Study of College English Instruction in Higher Education

Abstract

 In the evolving educational landscape, the emphasis on quality assurance in English 
instruction at the higher education level has gained renewed urgency. As English functions as a 
global lingua franca, institutions must ensure that their teaching strategies are effective, 
responsive, and capable of equipping students with both linguistic and critical thinking 
competencies. This study investigates the dimensions influencing teaching quality in English 
instruction within universities, focusing on pedagogical, institutional, and student-centered 
variables. Using a multidimensional evaluation framework, we explore real-world instructional 
practices and identify performance disparities across diverse models. This study uses the 
decision-making methodology with two methods, such as ITARA and COPRAS to obtain the 
weights of factors and ranking the options. These methods are used under the Interval valued 
Neutrosophic Numbers to dela with uncertainty information. We use the Prioritized Ordered 
Weighted Aggregation (POWA) Operator to combine the different Neutrosophic numbers. The 
findings offer empirical insights into effective teaching methodologies and highlight pathways 
for continuous pedagogical improvement and institutional development. 

DOI: 10.5281/zenodo.15186476