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Review paper

ADVANCING INCLUSIVE EDUCATION FOR CHILDREN WITH SPEECH AND HEARING IMPAIRMENTS THROUGH AI-DRIVEN INTERACTIVE PLATFORM

By
Akbarbek Allashev Orcid logo ,
Akbarbek Allashev

Mamun University Uzbekistan

Muyassar Akhmedova Orcid logo ,
Muyassar Akhmedova

Tashkent University of Applied Sciences Uzbekistan

Diyora Karimova Orcid logo ,
Diyora Karimova

Tashkent University of Information Technology , Tashkent , Uzbekistan

Shakhnoza Khujamberdieva Orcid logo ,
Shakhnoza Khujamberdieva

Namangan State Universitet Uzbekistan

Sayyora Davidova Orcid logo ,
Sayyora Davidova

Jizzakh branch of the National University of Uzbekistan named after Mirzo Ulugbek , Jizzakh , Uzbekistan

Nasiba Bayturaeva Orcid logo ,
Nasiba Bayturaeva

Jizzakh State Pedagogical University , Jizzakh , Uzbekistan

Manzila Khabibova Orcid logo ,
Manzila Khabibova

Bukhara State Medical Institute , Bukhara , Uzbekistan

Dilfuza . Orcid logo
Dilfuza .

Uzbek National Pedagogical University Uzbekistan

Abstract

Inclusive education aims to provide all children, irrespective of their capabilities, with equal opportunities to learn and participate meaningfully. For students who have speech and hearing disabilities, conventional classrooms often act as communication barriers which inhibit their participation and academic advancement. This study focuses on the development and application of AI-based interactive systems designed to foster inclusive learning for students who have communication challenges.

The platform integrates state-of-the-art technologies such as speech recognition, natural language processing (NLP), sign language interpreting, live pledging, and learning analytics tailored to each student. These elements combine to form a highly responsive adaptive dual-channel instruction and communication system. Automatic formative assessment using interaction and learning pattern technologies allows the platform to modify content to be age appropriate, preferred by, or required by the learner.

In collaboration with professionals from different disciplines, the study designs an AI educational framework for personalized inclusive learning by analysing existing technological options, examining their accessibility, and proposing new solutions with modern AI. Formative evaluations showed that when such intelligent systems are integrated in the classroom, there is increased engagement, understanding, and overall participation in the lessons. The research highlights the inclusive educational opportunities that AI can provide, paired the need for its additional use in education frameworks. AI systems can increasing enable enhanced involvement and autonomy, which improves the educational experience and outcomes for students suffering from speech and hearing disabilities.

References

1.
McMahon CM, Nieman CL, Thorne PR, Emmett SD, Bhutta MF. The inaugural World Report on Hearing: From barriers to a platform for change. Clinical Otolaryngology. 2021;46(3):459–63.
2.
Gopal GR, Gopal GL, Sayfiddinov J, Chokkalingam VK, Rajendran M, Ergashev R. Evaluating the Role of Information Services in Supporting Linguistic Minorities in Education. Indian Journal of Information Sources and Services. 2025;15(2):287–92.
3.
Holmes W, Bialik M, Fadel C. Artificial intelligence in education promises and implications for teaching and learning. 2019;
4.
Hlama ST, Gandomi A, Hussein Ali Z, Soltanaghaei M. An Efficient Malware Identification Model Using a GWO-Tuned CNN with Asynchronous Distributed Learning. Journal of Internet Services and Information Security. 2025;15(2):827–44.
5.
Trisiana A. A Sustainability-Driven Innovation and Management Policies through Technological Disruptions: Navigating Uncertainty in the Digital Era. Global Perspectives in Management. 2024;(1):22–32.
6.
Hlama ST, Gandomi A, Hussein Ali Z, Soltanaghaei M. An Efficient Malware Identification Model Using a GWO-Tuned CNN with Asynchronous Distributed Learning. Journal of Internet Services and Information Security. 2025;15(2):827–44.
7.
Marschark M, Shaver D, Nagle K, Newman L. Predicting the academic achievement of deaf and hardof-hearing students from individual, household, communication, and educational factors. Exceptional children. 2015;(3):350–69.
8.
Habib H, Jelani S, Najla S. Revolutionizing Inclusion: AI in Adaptive Learning for Students with Disabilities. Multidisciplinary Science Journal. 2022;(01):1–1.
9.
Mehta P, Malhotra K. Natural language processing for automated extraction of medical terms in electronic health records. Global Journal of Medical Terminology Research and Informatics. 2024;(2):1–4.
10.
Luckner JL, Muir S. Successful Students Who Are Deaf in General Education Settings. American Annals of the Deaf. 2001;146(5):435–46.
11.
Sreenivasu M, Kumar UV. MetaFusion-X: A Novel Meta-Learning Framework for Multiphysics System Integration. International Academic Journal of Innovative Research. 2025;12(2):54–62.
12.
Rasinski TV. Why Reading Fluency Should Be Hot! The Reading Teacher. 2012;65(8):516–22.
13.
Kayess R, French P. Out of darkness into light? Introducing the Convention on the Rights of Persons with Disabilities. Human rights law review. 2008;(1):1–34.
14.
Knoors H, Marschark M. Language Planning for the 21st Century: Revisiting Bilingual Language Policy for Deaf Children. Journal of Deaf Studies and Deaf Education. 2012;17(3):291–305.
15.
Molai TN. Factors Affecting Language Development of Children. International Academic Journal of Social Sciences. 2019;06(01):37–48.
16.
Bamu B, Schauwer D, Verstraete E, Van Hove S, G. Inclusive education for students with hearing impairment in the regular secondary schools in the North-West region of Cameroon: Initiatives and challenges. International Journal of Disability. 2017;(6):612–23.

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This is an open access article distributed under the  Creative Commons Attribution Non-Commercial License (CC BY-NC) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

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