Neutrosophic Clustering in Adaptive AI Learning for Students with Down Syndrome

Addressing various error patterns and maintaining student engagement are challenges in the education of students with Down syndrome. The complexity and unpredictability of individual learning behaviors are often beyond the capacity of existing adaptive AI frameworks. This short communication introd...

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Main Author: Rania Lutfi
Format: Article
Language:English
Published: MO.RI Publishing 2025-04-01
Series:Journal of Digital Learning and Education
Subjects:
Online Access:https://journal.moripublishing.com/index.php/jdle/article/view/1539
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author Rania Lutfi
author_facet Rania Lutfi
author_sort Rania Lutfi
collection DOAJ
description Addressing various error patterns and maintaining student engagement are challenges in the education of students with Down syndrome. The complexity and unpredictability of individual learning behaviors are often beyond the capacity of existing adaptive AI frameworks. This short communication introduces an innovative conceptual framework that integrates neutrosophic error clustering into adaptive AI systems, utilizing neutrosophic logic to define membership functions for truth, indeterminacy, and falsity. The framework enables real-time personalization and modifications to learning by grouping errors into conceptual, procedural, or attention-related clusters. The integration of neutrosophic with adaptive AI enhances emotional engagement, improves learning outcomes, and promotes inclusivity for students with Down syndrome. Despite being theoretical, this study establishes a framework for additional research and real-world applications.
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institution Kabale University
issn 2798-1088
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publishDate 2025-04-01
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record_format Article
series Journal of Digital Learning and Education
spelling doaj-art-2ae7df9a4cd948d4a88bf0ff94c281942025-08-20T03:53:42ZengMO.RI PublishingJournal of Digital Learning and Education2798-10882776-40602025-04-015110.52562/jdle.v5i1.1539Neutrosophic Clustering in Adaptive AI Learning for Students with Down SyndromeRania Lutfi0Department of Software Engineering, Homs University/Faculty of Informatics Engineering, 77, Syria Addressing various error patterns and maintaining student engagement are challenges in the education of students with Down syndrome. The complexity and unpredictability of individual learning behaviors are often beyond the capacity of existing adaptive AI frameworks. This short communication introduces an innovative conceptual framework that integrates neutrosophic error clustering into adaptive AI systems, utilizing neutrosophic logic to define membership functions for truth, indeterminacy, and falsity. The framework enables real-time personalization and modifications to learning by grouping errors into conceptual, procedural, or attention-related clusters. The integration of neutrosophic with adaptive AI enhances emotional engagement, improves learning outcomes, and promotes inclusivity for students with Down syndrome. Despite being theoretical, this study establishes a framework for additional research and real-world applications. https://journal.moripublishing.com/index.php/jdle/article/view/1539Neutrosophic ClusteringAdaptive AIPersonalized LearningDown Syndrome Education
spellingShingle Rania Lutfi
Neutrosophic Clustering in Adaptive AI Learning for Students with Down Syndrome
Journal of Digital Learning and Education
Neutrosophic Clustering
Adaptive AI
Personalized Learning
Down Syndrome Education
title Neutrosophic Clustering in Adaptive AI Learning for Students with Down Syndrome
title_full Neutrosophic Clustering in Adaptive AI Learning for Students with Down Syndrome
title_fullStr Neutrosophic Clustering in Adaptive AI Learning for Students with Down Syndrome
title_full_unstemmed Neutrosophic Clustering in Adaptive AI Learning for Students with Down Syndrome
title_short Neutrosophic Clustering in Adaptive AI Learning for Students with Down Syndrome
title_sort neutrosophic clustering in adaptive ai learning for students with down syndrome
topic Neutrosophic Clustering
Adaptive AI
Personalized Learning
Down Syndrome Education
url https://journal.moripublishing.com/index.php/jdle/article/view/1539
work_keys_str_mv AT ranialutfi neutrosophicclusteringinadaptiveailearningforstudentswithdownsyndrome