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January 24, 20260 citations

Multi-Criteria Decision Making and Artificial Intelligence for the School system: a systematic literature review

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MTMonia TostoGCGiansalvo CirrincioneSRSalvador Cruz Rambaud

Key Points

  • This work aims to systematically analyze the literature regarding MCDM and AI applications in school accessibility.
  • Conducted a systematic literature review of existing studies.
  • Focused on the use of MCDM models in educational contexts.
  • Analyzed AI's role in evaluating school services and accessibility.
  • Identified key areas where MCDM and AI can enhance school accessibility.
  • Highlighted potential improvements in educational services for students with disabilities.
  • Uncovered gaps in current literature regarding practical applications of these tools.

Abstract

The right to education is a universally recognized right and school is a fundamental place in modern society. Everyone must have the opportunity to attend and receive quality education. For this reason, it is important that school facilities are accessible to all, eliminating architectural barriers that hinder or limit students with disabilities. Quantitative tools such as multicriteria models and artificial intelligence can represent a driving force to support the school system in the evaluation processes that are crucial for improving school accessibility but more generally the services provided to students and families in general. This work aims to offer a systematic analysis of the literature that analyzes the areas of application of tools such as MCDM (Multi Criteria Decision Making) and AI (Artificial Intelligence) in school contexts with particular attention to the accessibility of schools.

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Cite This Study

Tosto et al. (2025) studied this question.

synapsesocial.com/papers/6974606dbb9d90c67120a3fahttps://doi.org/10.23755/rm.v55i0.1710
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