IndetermSoft Set for Artificial Intelligence Solutions for Teaching Competition Plans Assessment in Colleges

Abstract

Artificial Intelligence (AI) is becoming a key factor in transforming conventional 
educational institutions in the age of digital transformation. The review and assessment of college 
teaching competition plans, a field that has hitherto relied on human judgment, is one of the 
newer uses. By utilizing AI, assessments might become more transparent, data-driven, and 
uniform. This study investigates how AI-based solutions might improve feedback quality, 
streamline the assessment process, and assist teachers in honing their pedagogical approaches. 
Our goal is to provide an effective framework for assessing teaching competition strategies by 
examining contemporary AI approaches and how they have been modified for use in educational 
settings. We use the IndetermSoft Set to solve the indeterminacy in the criteria values. We use the 
multi-criteria decision making (MCDM) method to show the ranks of alternatives. We use the 
COBRA method as a MCDM to rank the alternatives. 

DOI: 10.5281/zenodo.15314832