IndetermSoft Set for Artificial Intelligence Solutions for Teaching Competition Plans Assessment in Colleges
Year: 2025
Type: article
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.
Authors: Xun Lin, Xiaoli Feng
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6949626228
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