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人工智能增强的计算障碍筛查:儿童方法与应用调查

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

作者信息

Bhushan Shashi, Arunkumar Sharmila, Eisa Taiseer Abdalla Elfadil, Nasser Maged, Singh Anuj Kumar, Kumar Pramod

机构信息

Department of Computer & Information Sciences, Universiti Teknologi Petronas, Seri Iskandar 32610, Perak, Malaysia.

Raj Kumar Goel Institute of Technology, Ghaziabad 201017, Uttar Pradesh, India.

出版信息

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

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.

摘要

特殊教育技术的发展所带来的新互动形式如今能够帮助患有计算障碍的学生。近几十年来,人工智能(AI)已成为一种很有前景的工具,尤其是在2001年至2010年期间,为提高计算障碍者的教育质量提供了途径。因此,人工智能的应用对于满足计算障碍学生的需求至关重要。采用内容分析技术来审视有关人工智能对计算障碍的影响及其协助教师促进计算障碍者教育的潜力的文献。该研究试图通过深入研究为未来更具包容性的计算障碍教育奠定基础。人工智能的融入对教育机构以及患有计算障碍的人都产生了重大影响。本文强调了人工智能在改善受计算障碍影响学生的教育成果方面的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/024e/11241753/7503c2d13432/diagnostics-14-01441-g001.jpg

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