The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 21, 2025

Filed:

Jun. 05, 2023
Applicant:

The University of Hong Kong, Hong Kong, HK;

Inventor:

Xiuli Tong, Hong Kong, HK;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G09B 19/06 (2006.01); G09B 5/02 (2006.01); G10L 15/22 (2006.01);
U.S. Cl.
CPC ...
G09B 19/06 (2013.01); G09B 5/02 (2013.01); G10L 15/22 (2013.01); G10L 2015/226 (2013.01);
Abstract

The I-DID system is strengths-weaknesses based assessment and intervention for dyslexia, particularly for dyslexia in bilingual users. The system includes a database comprising a large-scale profile of a plurality of user performance sets across five domains: language and literacy, cognition, creativity, music, and social-emotional skills. A machine learning-based subgroup generator creates subgroups to provide individualized intervention for each of the subgroups, such that the users in the different subgroups receive different interventions. The interventions comprise training in one or more domain-general cognitive and music skills, or language-specific listening, speaking, reading, writing, or combinations thereof. The combined theory- and data-driven approach of the system integrates multiple layers of online multifaceted assessments and classifies strength-weakness profiles of bilingual users for self-managed, personalized game-based intervention. The system promotes affordability, efficiency, equality and sustainability of clinical diagnosis and treatment for bilingual users along with users growing up in a multilingual environment.


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