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

被引:0
|
作者
Bhushan, Shashi [1 ]
Arunkumar, Sharmila [2 ]
Eisa, Taiseer Abdalla Elfadil [3 ]
Nasser, Maged [1 ]
Singh, Anuj Kumar [4 ]
Kumar, Pramod [5 ]
机构
[1] Univ Teknol Petronas, Dept Comp & Informat Sci, Seri Iskandar 32610, Perak, Malaysia
[2] Raj Kumar Goel Inst Technol, Ghaziabad, Uttar Pradesh, India
[3] King Khalid Univ, Dept Informat Syst, Girls Sect, Mahayil 62529, Saudi Arabia
[4] Galgotias Univ, Sch Comp Sci & Engn, Greater Noida 201310, Uttar Pradesh, India
[5] Swami Rama Himalayan Univ, Himalayan Sch Sci & Technol, Dehra Dun 248016, Uttarakhand, India
关键词
AI (artificial intelligence); dyscalculia; dyslexia; specific learning disabilities; neurodevelopmental disorders; learning disabilities; early intervention; cognitive abilities; dysgraphia; mathematical comprehension; ATTENTION-DEFICIT/HYPERACTIVITY DISORDER; PREVALENCE;
D O I
10.3390/diagnostics14131441
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页数:25
相关论文
共 50 条
  • [41] AI-Enhanced Healthcare: Not a new Paradigm for Informed Consent
    Pruski, M.
    JOURNAL OF BIOETHICAL INQUIRY, 2024, 21 (03) : 475 - 489
  • [42] AI-enhanced diagnostic model for pulmonary nodule classification
    Chen, Jifei
    Ming, Moyu
    Huang, Shuangping
    Wei, Xuan
    Wu, Jinyan
    Zhou, Sufang
    Ling, Zhougui
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [43] Transference and the psychological interplay in AI-enhanced mental healthcare
    Joseph, Akhil P.
    Babu, Anithamol
    FRONTIERS IN PSYCHIATRY, 2024, 15
  • [44] Enabling Remote Human-to-Machine Applications With AI-Enhanced Servers Over Access Networks
    Mondal, Sourav
    Ruan, Lihua
    Maier, Martin
    Larrabeiti, David
    Das, Goutam
    Wong, Elaine
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2020, 1 : 889 - 899
  • [45] AI-Enhanced Remote Sensing Applications in Earth Science Processes for Enhancing Sanitation Workers’ Safety
    Ragavee Uthaya Kumar
    Kesavan Shobana Shoba Jasmin
    Asha Sundaram
    Remote Sensing in Earth Systems Sciences, 2024, 7 (4) : 750 - 763
  • [46] Hearing the patient's voice in AI-enhanced healthcare
    Womersley, Kate
    Fulford, K. W. M. Bill
    Peile, Ed
    Koralus, Philipp
    Handa, Ashok
    BMJ-BRITISH MEDICAL JOURNAL, 2023, 383
  • [47] AICodeReview: Advancing code quality with AI-enhanced reviews
    Almeida, Yonatha
    Albuquerque, Danyllo
    Dantas Filho, Emanuel
    Muniz, Felipe
    Santos, Katyusco de Farias
    Perkusich, Mirko
    Almeida, Hyggo
    Perkusich, Angelo
    SOFTWAREX, 2024, 26
  • [48] EDULE: An AI-Enhanced Collaborative Learning Platform for Students
    Lilly Sheeba, S.
    Srinivasan, Jayanth
    Niranjanee, M.
    Nandhana, C.
    Lecture Notes in Networks and Systems, 2024, 1049 LNNS : 185 - 193
  • [49] Preparing for AI-enhanced education: Conceptualizing and empirically examining teachers' AI readiness
    Wang, Xinghua
    Li, Linlin
    Tan, Seng Chee
    Yang, Lu
    Lei, Jun
    COMPUTERS IN HUMAN BEHAVIOR, 2023, 146
  • [50] Point-of-care AI-enhanced novice echocardiography for screening heart failure (PANES-HF)
    Huang, Weiting
    Koh, Tracy
    Tromp, Jasper
    Chandramouli, Chanchal
    Ewe, See Hooi
    Ng, Choon Ta
    Lee, Audry Shan Yin
    Teo, Louis Loon Yee
    Hummel, Yoran
    Huang, Feiqiong
    Lam, Carolyn Su Ping
    SCIENTIFIC REPORTS, 2024, 14 (01):