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AI-Enhanced Dyscalculia Screening: A Survey of Methods and Applications for Children.
Bhushan, Shashi; Arunkumar, Sharmila; Eisa, Taiseer Abdalla Elfadil; Nasser, Maged; Singh, Anuj Kumar; Kumar, Pramod.
Afiliação
  • Bhushan S; Department of Computer & Information Sciences, Universiti Teknologi Petronas, Seri Iskandar 32610, Perak, Malaysia.
  • Arunkumar S; Raj Kumar Goel Institute of Technology, Ghaziabad 201017, Uttar Pradesh, India.
  • Eisa TAE; Department of Information Systems-Girls Section, King Khalid University, Mahayil 62529, Saudi Arabia.
  • Nasser M; Department of Computer & Information Sciences, Universiti Teknologi Petronas, Seri Iskandar 32610, Perak, Malaysia.
  • Singh AK; School of Computing Science and Engineering, Galgotias University, Greater Noida 201310, Uttar Pradesh, India.
  • Kumar P; Himalayan School of Science and Technology, Swami Rama Himalayan University, Dehradun 248016, Uttarakhand, India.
Diagnostics (Basel) ; 14(13)2024 Jul 05.
Article em En | MEDLINE | ID: mdl-39001330
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Malásia País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Malásia País de publicação: Suíça