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Reseach Article

Study on the Frontiers of Assistive Technologies for Smart Learning in Learning Impairment of Dyslexic Children

by J. Loveline Zeema, D. Fransis Xavier Christopher
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 23
Year of Publication: 2018
Authors: J. Loveline Zeema, D. Fransis Xavier Christopher
10.5120/ijca2018918022

J. Loveline Zeema, D. Fransis Xavier Christopher . Study on the Frontiers of Assistive Technologies for Smart Learning in Learning Impairment of Dyslexic Children. International Journal of Computer Applications. 182, 23 ( Oct 2018), 10-16. DOI=10.5120/ijca2018918022

@article{ 10.5120/ijca2018918022,
author = { J. Loveline Zeema, D. Fransis Xavier Christopher },
title = { Study on the Frontiers of Assistive Technologies for Smart Learning in Learning Impairment of Dyslexic Children },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2018 },
volume = { 182 },
number = { 23 },
month = { Oct },
year = { 2018 },
issn = { 0975-8887 },
pages = { 10-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number23/30072-2018918022/ },
doi = { 10.5120/ijca2018918022 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:12:13.978535+05:30
%A J. Loveline Zeema
%A D. Fransis Xavier Christopher
%T Study on the Frontiers of Assistive Technologies for Smart Learning in Learning Impairment of Dyslexic Children
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 23
%P 10-16
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Learners with dyslexia are intuitive and perceive multidimensionality. But they face severe difficulty in reading, writing, mathematics and working memory. It is a different brain organization that needs different teaching methods. This article presents a methodical review of assistive technologies used for smart learning process with dyslexia. Type of technologies used in the assistive process is analyzed and listed. These include text-to-speech, Multimedia software, Touch sensation based learning, Multisensory, Games and Virtual learning Environment. The Text-to-Speech technology is the most common type of technology used by dyslexic learners. Most of the studies focus on dyslexic children. This review also finds that a majority of these studies focus on the use of multimedia and multisensory technologies for improving the reading ability of dyslexic learners.

References
  1. Al-Edaily, A., Al-Wabil, A., & Al-Ohali, Y. (2013). Dyslexia Explorer: A Screening System for Learning Difficulties in the Arabic Language Using Eye Tracking. In Human Factors in Computing and Informatics (pp. 831-834). Springer, Berlin, Heidelberg.
  2. Alissa N.Antie, Min Fan, Emily S.Cramer “PhonoBlocks: A Tangible System for Supporting Dyslexic Children Learning to Read”(2015).ACM.
  3. Anusuriya Devaraju, Zeratul Izzah Mohd Yusoh, Mohd Hafiz Zakaria, Umawathy Techanamurthy, University Technical Malaysia Melaka, Malaysia(2007).MyLexic: An Assistive Multimedia Courseware for Teaching and Reinforcing Basic Reading Skills among Dyslexics. AACE.
  4. Bhavana Srivastava, Md.Tanwir Uddin Haider. (2017). Personalized assessment model for alphabets learning with learning objects in an e-learning environment for dyslexia. ELSEVIER.
  5. Carolina Mejía Corredor, Ramón Fábregatb Gesa, Daniel Salas Álvarez (2012) "Integration of a framework with a learning management system for detection, assessment, and assistance of university students with reading difficulties”.IEEE.
  6. James Ohene-Djan and Rahima Begum (2008). Multisensory Games for Dyslexic Children.IEEE
  7. 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
  8. Kalyvioti, K., & Mikropoulos, T. A. (2012). Memory performance of dyslexic adults in virtual environments. Procedia Computer Science, 14, 410-418. Laabidi, Mohsen, Jemni M., Leila J. B., Ayed, Brahim, H.B. & Jemaa, A. B. (2014). Learning Technology for People with Disabilities. Journal of King Saud University – Computer and Information Sciences, 26, 2945
  9. Laabidi, Mohsen, Jemni M., Leila J. B., Ayed, Brahim, H.B. & Jemaa, A. B. (2014). Learning Technology for People with Disabilities. Journal of King Saud University – Computer and Information Sciences, 26, 2945.
  10. Maria Kazakou, Spyros Soulis, Eleni Morfidi, Tassos A. Mikropoulos. (2011). Phonological Awareness Software for Dyslexic Children. Themes in Science & Technology Education.
  11. Manoranjitham.M, Lim Kok Ooi, K.S Savita. (2011).Touch Sensation Based Computer Application to Facilitate the Learning Process of Dyslexic Children. American Scientific Publisher.
  12. Muhamad Risqi Utama Saputra and Kuntoro Adi Nugroho. (2015) “Learn-to-read” Application for Remediation of Dyslexic Children Based on Multisensory Approach. IOSR-JHSS
  13. Muhammad Haziq Lim Abdullah, Syariffanor Hisham, Shahril Parumo. MyLexics: An Assistive Courseware for Dyslexic Children to Learn Basic Malay Language.(2009).ACM.
  14. Paraskevi Tzouveli, Andreas Schmidt, Michael Schneider, Antonis Symvonis, Stefanos Kollias., S. (2008, July). Adaptive reading assistance for the inclusion of students with dyslexia: The AGENT-DYSL approach. In Advanced Learning Technologies, 2008. ICALT'08. Eighth IEEE International Conference on (pp. 167-171). IEEE.
  15. Phipps, L., Sutherland, A., & Seale, J. (2002). Access All Areas: disability, technology, and learning. TechDis with the Association for Learning Technology.
  16. Rekha, S., Gollapudi, S., Sampath, H., & Indurkhya, B. (2013, July). ReadAid-an assistive reading tool for children with dyslexia. In International Conference on Universal Access in Human-Computer Interaction (pp. 297-304). Springer, Berlin, Heidelberg.
  17. Rello, L., & Baeza-Yates, R. (2014, April). Evaluation of Dyswebxia: A reading app designed for people with dyslexia. In Proceedings of the 11th Web for All Conference (p. 10). ACM.
  18. Rello, L., Bayarri, C., Otal, Y., & Pielot, M. (2014, October). A computer-based method to improve the spelling of children with dyslexia. In Proceedings of the 16th international ACM SIGACCESS conference on Computers & accessibility (pp. 153-160). ACM.
  19. Rello, L., Kanvinde, G., & Baeza-Yates, R. (2012). A mobile application for displaying more accessible eBooks for people with Dyslexia. Procedia Computer Science, 14, 226-233.
  20. Salwani Mohd Daud and Hafiza Abas - “Dyslexia Baca” Mobile App – The Learning Ecosystem for Dyslexic Children(2013) international conference on advanced computer science applications and technologies
  21. Schiavo, G., & Buson, V. (2014). Interactive e-Books to support reading skills in dyslexia. In at IBOOC2014-2nd Workshop on Interactive eBook for Children at IDC
  22. Siti Suhaila Abdul Hamid, Novia Admodisastro, Azrina Kamaruddin, Noridayu Manshor Abdul Azim Abdul Ghani (2017). Informing Design of an Adaptive Learning Model for a student with Dyslexia: A Preliminary Study.ACM.
  23. Siti Zulaiha Ahmad, Noor Izzati Jinon, Arifah Fasha Rosmani “MathLexic: An Assistive Multimedia Mathematical Learning Aid for Dyslexia Children”. (2013) IEEE.
Index Terms

Computer Science
Information Sciences

Keywords

Dyslexia Learning Impairment Multisensory Text-to-Speech Speech-to-Text Virtual Learning Environment