A Tree Soft Set Framework for Evaluating Teaching Quality in University Physics Programs: Enhancing Precision and Decision-Making

Abstract

Education in physics is at a crossroads. Numerous nations have middling or 
worse levels of scientific literacy, according to international research, and their students 
are viewed as being ill-equipped to handle the challenges going forward. The 
governmental level has acknowledged the necessity of high-quality development. The 
article focuses on evaluating physics education is taught and learned through 
experiments and real-world experiences. We propose a multi-criteria decision making 
(MCDM) approach to deal with various factors in evaluation of teaching quality in 
physics programs. We integrate the MCDM method with the Tree Soft Set (TSS) to show 
the relationship between the different nodes. The root node is the main objective in this 
study, the first level the main factors, and the second level is the sub factors. The MCDM 
is used with the single valued neutrosophic sets (SVNSs) to deal with vague data. We 
gathered five main factors and 15 sub factors in this equation. We compute the factors 
weights using the AHP method to build the pairwise comparison matrix to evaluate 
them.

DOI: 10.5281/zenodo.14692812