SuperHyperSoft Set-Based Evaluation of Teaching Quality in Ideological and Political Courses in Colleges and Universities in the New Era

Abstract

In the new era, the quality of ideological and political education in colleges and 
universities has become a vital focus for nurturing responsible, critically thinking citizens. The 
rapid evolution of societal needs, coupled with technological advancements, demands a fresh 
evaluation of teaching effectiveness in these fundamental courses. Traditional evaluation models 
often struggle to address the uncertainty, complexity, and overlapping nature of qualitative 
educational indicators. This paper introduces a novel evaluation framework based on 
SuperHyperSoft Set theory integrated with Single-Valued Neutrosophic Sets (SVNS), combined 
with Entropy for objective weighting and the MOOSRA method for robust ranking of 
alternatives. The proposed framework provides a structured, flexible, and uncertainty-resilient 
approach to evaluating teaching quality. A real-world case study is conducted involving five 
major political science and ideological courses at a leading university. Expert evaluations were 
collected, processed using the SuperHyperSoft-SVNS model, and analyzed to identify strengths 
and areas for improvement. The results demonstrate the model’s ability to capture complex 
educational dynamics and offer practical insights for enhancing teaching practices in the new era.

DOI: 10.5281/zenodo.15299858