Comprehensive Analysis of Application of Multi-Criteria Decision-Making Methods with TreeSoft Set for Teaching Quality Improvement of College English Learning Process

Abstract

The assessment of teaching quality in College English is a critical component of 
educational improvement, ensuring that language instruction meets the evolving needs of 
students in a globalized world. With the increasing integration of digital tools, interactive 
learning strategies, and student-centered pedagogies, assessing teaching effectiveness has 
become more complex and multidimensional. This study explores a structured evaluation 
framework that incorporates pedagogical innovation, student engagement, technological 
integration, and outcome-based assessment. By applying multi-criteria decision-making 
(MCDM) techniques, this research provides a systematic method to analyze the effectiveness of 
College English instruction. TreeSoft set is used to divide the main and sub criteria as a tree to 
show the relationships between the criteria and alternatives. Then in each sub criterion we 
compute the criteria weights and in main criteria. The SIWEC method is used to compute the 
criteria weights and the ARAS method is used to rank the alternatives.

DOI: 10.5281/zenodo.15036625