i-manager Publications

Empowering Learning: ICT Assistive Technologies for Students with Learning Disabilities in India

Anjna Kumari*, Jaya Gautam**, Vipul Kumar Gautam***

* Department of Education, Central University of Punjab, Bathinda, Punjab, India.

** Department of Education, University of Lucknow, Lucknow, Uttar Pradesh.

*** Department of Tour and Travels, Govt. College Una(HP), Himachal Pradesh, India.

Periodicity:July - September'2025

Abstract

In today's digital world, technology is a powerful tool in shaping education for all, including students with various learning disabilities. This article explores various ICT assistive tools for students dealing with dyslexia, dysgraphia, and dyscalculia in India. It highlights tools like text-to-speech, screen readers, speech recognition, artificial intelligence, and virtual reality that support learning and enhance the performance of affected students. The article discusses government schemes aimed at promoting the use of these technologies in schools and other educational institutions. It also addresses the challenges associated with their implementation and emphasizes the value of inclusive education. By discussing these issues, the article tries to show what all steps are needed so that students with learning disabilities can obtain equal access to study resources.

Keywords

Assistive Technologies, Learning Disabilities, Inclusive Education, Special Education, Adaptive Learning.

How to Cite this Article?

Kumari, A., Gautam, J., and Gautam, V. K. (2025). Empowering Learning: ICT Assistive Technologies for Students with Learning Disabilities in India. i-manager’s Journal on School Educational Technology, 21(1), 1-11.

References

[1]. Adebisi, R. O., Liman, N. A., & Longpoe, P. K. (2015). Using assistive technology in teaching children with learning disabilities in the 21st century. Journal of Education and Practice, 6(24), 14-20.

[2]. Aldabaybah, B., & Jusoh, S. (2018). Usability features for Arabic assistive technology for dyslexia. In 2018 9th IEEE Control and System Graduate Research Colloquium (pp. 223-228).

[3]. Alghabban, W. G., Salama, R. M., & Altalhi, A. H. (2017). Mobile cloud computing: An effective multimodal interface tool for students with dyslexia. Computers in Human Behavior, 75, 160-166.

[4]. Allan, J., & Stiteley, J. (2015). Principles of Assistive Technology for Students with Visual Impairments. Texas School for the Blind and Visually Impaired.

[5]. American Foundation for the Blind. (2024). Screen Readers.

[6]. Asvestopoulou, T., Manousaki, V., Psistakis, A., Smyrnakis, I., Andreadakis, V., Aslanides, I. M., & Papadopouli, M. (2019). Dyslexml: Screening tool for dyslexia using machine learning. arXiv preprint arXiv:1903.06274.

[7]. Barua, P. D., Vicnesh, J., Gururajan, R., Oh, S. L., Palmer, E., Azizan, M. M., & Acharya, U. R. (2022). Artificial intelligence enabled personalised assistive tools to enhance education of children with neurodevelopmental disorders-a review. International Journal of Environmental Research and Public Health, 19(3), 1192.

[8]. Benmarrakchi, F., Elhammoumi, O., & Jamal, E. L. (2019). Evaluation of an educational game for children with learning disabilities: FunLexia-A case study. International Journal of Information Science and Technology, 3(6), 4-14.

[9]. Boyd, L. D., Mallonee, L. F., Wyche, C. J., & Halaris, J. F. (2020). Wilkins' Clinical Practice of the Dental Hygienist. Jones & Bartlett Learning.

[10]. Bri, D., García, M., Coll, H., & Lloret, J. (2009). A study of virtual learning environments. WSEAS Transactions on Advances in Engineering Education, 6(1), 33-43.

[11]. Carlson, S. (2005). A Two Hundred Year History of Learning Disabilities. Online Submission.

[12]. Chung, P. J., Patel, D. R., & Nizami, I. (2020). Disorder of written expression and dysgraphia: Definition, diagnosis, and management. Translational Pediatrics, 9(Suppl 1), S46.

[13]. Daud, S. M., & Abas, H. (2013). 'Dyslexia Baca'mobile app-the learning ecosystem for dyslexic children. In 2013 International Conference on Advanced Computer Science Applications and Technologies (pp. 412-416).

[14]. Dhingra, K., Aggarwal, R., Garg, A., Pujari, J., & Yadav, D. (2024). Mathlete: An adaptive assistive technology tool for children with dyscalculia. Disability and Rehabilitation: Assistive Technology, 19(1), 9-15.

[15]. Habib, L., Berget, G., Sandnes, F. E., Sanderson, N., Kahn, P., Fagernes, S., & Olcay, A. (2012). Dyslexic students in higher education and virtual learning environments: An exploratory study. Journal of Computer Assisted Learning, 28(6), 574-584.

[16]. Hughes, I. (2012). Virtual worlds, augmented reality, blended reality. Computer Networks, 56(18), 3879-3885.

[17]. Iyer, L. S., Chakraborty, T., Reddy, K. N., Jyothish, K., & Krishnaswami, M. (2023). AI-assisted models for dyslexia and dysgraphia: Revolutionizing language learning for children. In AI-Assisted Special Education for Students with Exceptional Needs (pp. 186-207). IGI Global.

[18]. Janardhana, N., Muralidhar, D., Naidu, D. M., & Raghevendra, G. (2015). Discrimination against differently abled children among rural communities in India: Need for action. Journal of Natural Science, Biology, and Medicine, 6(1), 7.

[19]. Jing, C. T., & Chen, C. J. (2017). A research review: How technology helps to improve the learning process of learners with dyslexia. Journal of Cognitive Sciences and Human Development, 2(2), 26-43.

[20]. Kanvinde, G., Rello, L., & Baeza-Yates, R. (2012). IDEAL: A dyslexic-friendly ebook reader. In Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility (pp. 205-206).

[21]. Khan, M. F., Hussain, M. A., Ahsan, K., Saeed, M., Nadeem, A., Ali, S. A., & Rizwan, K. (2017). Augmented reality based spelling assistance to dysgraphia students. Journal of Basic & Applied Sciences, 13, 500-507.

[22]. Khan, R. U., Cheng, J. L. A., & Bee, O. Y. (2018). Machine learning and Dyslexia: Diagnostic and classification system (DCS) for kids with learning disabilities. International Journal of Engineering & Technology, 7(3.18), 97-100.

[23]. Kopec, J. A. (1995). Concepts of disability: The activity space model. Social Science & Medicine, 40(5), 649-656.

[24]. LDA. (2012). What Are Learning Disabilities? Learning Disabilities Association of America.

[25]. Lerga, R., Candrlic, S., & Jakupovic, A. (2021). A review on assistive technologies for students with dyslexia. International Conference on Computer Supported Education (2), 64-72.

[26]. Minoofam, S. A. H., Bastanfard, A., & Keyvanpour, M. R. (2022). RALF: An adaptive reinforcement learning framework for teaching dyslexic students. Multimedia Tools and Applications, 81(5), 6389-6412.

[27]. Mishra, M. P., Sharma, V. K., & Tripathi, R. C. (2010). ICT as a Tool for Teaching and Learning in Respect of Learner with Disability. Indira Gandhi National Open University, New Delhi, India.

[28]. Mogasale, V. V., Patil, V. D., Patil, N. M., & Mogasale, V. (2012). Prevalence of specific learning disabilities among primary school children in a South Indian city. The Indian Journal of Pediatrics, 79(3), 342-347.

[29]. Moss, R. (2017). Using Assistive Technology Software to Compensate for Writing and Reading Impairments in Aphasia (Doctoral dissertation, City, University of London).

[30]. Olusanya, B. O., Davis, A. C., Wertlieb, D., Boo, N. Y., Nair, M. K. C., Halpern, R., & Kassebaum, N. J. (2018). Developmental disabilities among children younger than 5 years in 195 countries and territories, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. The Lancet Global Health, 6(10), e1100-e1121.

[31]. Poornappriya, T. S., & Gopinath, R. (2020). Application of machine learning techniques for improving learning disabilities. International Journal of Electrical Engineering and Technology, 11(10), 403-411.

[32]. Pullen, P. C., Lane, H. B., Ashworth, K. E., & Lovelace, S. P. (2011). Learning disabilities. In Handbook of Special Education (pp. 195-205). Routledge.

[33]. Rajapakse, S., Polwattage, D., Guruge, U., Jayathilaka, I., Edirisinghe, T., & Thelijjagoda, S. (2018). ALEXZA: A mobile application for dyslexics utilizing artificial intelligence and machine learning concepts. In 2018 3rd International Conference on Information Technology Research (pp. 1-6).

[34]. Salkind, N. J. (Ed.). (2008). Encyclopedia of Educational Psychology. SAGE Publications.

[35]. Seelman, K. D., Bury, M., & Albrecht, G. L. (2001). Handbook of Disability Studies. Sage Publications.

[36]. Shaywitz, S. E., Shaywitz, J. E., & Shaywitz, B. A. (2021). Dyslexia in the 21st century. Current Opinion in Psychiatry, 34(2), 80-86.

[37]. Singh, J. D. (2016). Inclusive education in India–concept, need and challenges. International Journal of Social Science & Management Studies, 7 (7), 97-126.

[38]. Skiada, R., Soroniati, E., Gardeli, A., & Zissis, D. (2014). EasyLexia: A mobile application for children with learning difficulties. Procedia Computer Science, 27, 218-228.

[39]. Snowling, M. J., Hulme, C., & Nation, K. (2020). Defining and understanding dyslexia: Past, present and future. Oxford Review of Education, 46(4), 501-513.

[40]. Tahri Sqalli, M., Aslonov, B., Gafurov, M., Mukhammadiev, N., & Sqalli Houssaini, Y. (2023). Eye tracking technology in medical practice: A perspective on its diverse applications. Frontiers in Medical Technology, 5, 1253001.

[41]. U. S. Department of Education. (2004). Individuals with Disabilities Education Improvement Act of 2004.

[42]. UNESCO. (2019). N for nose: State of the Education Report for India 2019: Children with Disabilities.

[43]. Unni, J. C. (2012). Specific learning disability and the amended “persons with disability act”. Indian Pediatrics, 49(6), 445.

[44]. Vidyadharan, V., & Tharayil, H. M. (2019). Learning disorder or learning disability: Time to rethink. Indian Journal of Psychological Medicine, 41(3), 276-278.

[45]. Viner, M., Singh, A., & Shaughnessy, M. F. (2022). Assistive technology to help students with disabilities. Research Anthology on Inclusive Practices for Educators and Administrators in Special Education (pp. 579-600).

[46]. Wadlington, E., & Wadlington, P. L. (2008). Helping students with mathematical disabilities to succeed. Preventing School Failure: Alternative Education for Children and Youth, 53(1), 2-7.

[47]. World Health Organization. (1980). International Classification of Impairments, Disabilities, and Handicaps: A Manual of Classification Relating to the Consequences of Disease, Published in Accordance with Resolution WHA29.

Empowering Learning: ICT Assistive Technologies for Students with Learning Disabilities in India

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content:

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	15	15	200	15
Pdf & Online	35	35	400	25