AI-Enhanced Dyscalculia Screening: A Survey of Methods and Applications for Children
Shashi Bhushan, Sharmila Arunkumar, Taiseer Abdalla Elfadil Eisa, Maged Nasser, Anuj Kumar Singh, Pramod Kumar

TL;DR
This paper explores how AI can help children with dyscalculia through new educational technologies and methods.
Contribution
The paper provides a survey of AI methods and applications specifically for dyscalculia screening and education.
Findings
AI has shown promise in enhancing education for students with dyscalculia.
Content analysis revealed AI's potential to support instructors and improve educational outcomes.
AI integration has significantly impacted educational approaches for dyscalculia.
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…
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Taxonomy
TopicsOpen Education and E-Learning · Various Chemistry Research Topics · Wikis in Education and Collaboration
