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Review
. 2024 Jul 5;14(13):1441.
doi: 10.3390/diagnostics14131441.

AI-Enhanced Dyscalculia Screening: A Survey of Methods and Applications for Children

Shashi Bhushan  1 , Sharmila Arunkumar  2 , Taiseer Abdalla Elfadil Eisa  3 , Maged Nasser  1 , Anuj Kumar Singh  4 , Pramod Kumar  5
Affiliations
Review

AI-Enhanced Dyscalculia Screening: A Survey of Methods and Applications for Children

Shashi Bhushan et al. Diagnostics (Basel). .

Abstract

New forms of interaction made possible by developments in special educational technologies can now help students with dyscalculia. Artificial intelligence (AI) has emerged as a promising tool in recent decades, particularly between 2001 and 2010, offering avenues to enhance the quality of education for individuals with dyscalculia. Therefore, the implementation of AI becomes crucial in addressing the needs of students with dyscalculia. Content analysis techniques were used to examine the literature covering the influence of AI on dyscalculia and its potential to assist instructors in promoting education for individuals with dyscalculia. The study sought to create a foundation for a more inclusive dyscalculia education in the future through in-depth studies. AI integration has had a big impact on educational institutions as well as people who struggle with dyscalculia. This paper highlights the importance of AI in improving the educational outcomes of students affected by dyscalculia.

Keywords: AI (artificial intelligence); cognitive abilities; dyscalculia; dysgraphia; dyslexia; early intervention; learning disabilities; mathematical comprehension; neurodevelopmental disorders; specific learning disabilities.

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Conflict of interest statement

The authors declare no conflict of interest.

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Sequence of steps using the machine learning algorithm.
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