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

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.