Development of Assistive Technology - When Learning Disability is no Barrier

Onintra Poobrasert, Waragorn Gestubtim

Abstract

Assistive technology does not cure a specific learning disability. These tools are allowing a student with learning disabilities to demonstrate their intelligence and knowledge. Assistive technology for the person with learning disabilities is a made-to-fit implementation. Trial and error may be required to find a set of appropriate tools and techniques for a specific individual. Therefore this paper is aimed to attest the use of assistive technology: Thai Spell Checker program which enhanced students with learning disabilities in their writing. This paper will also depict the details of the design and development of assistive technology tool, including information on the experiment with real users. The results from the study show that the assistive technology tool has a correct rate of 89% for detecting misspelling words. Additionally results indicate that the students have writing improvement in Thai language as 75%, 15%, 30%, 70%, and 35%.

References

  1. Alper, S. & Raharinirina, S., (2006). Assistive technology for individuals with disabilities: A review and synthesis of the literature. Journal of Special Education Technology, 21(2), 47-64.
  2. Angkawattanawit, N., et al., (2008). Thai Q-Cor: Integrating Word Approximation and Soundex for Thai Query Correction, Proceedings of ECTI-CON.
  3. Cockton, Gilbert, (2013). Usability Evaluation. In: Soegaard, Mads & Dam, Rikke Friis (Eds.). "The Encyclopedia of Human-Computer Interaction, 2nd Ed.". Aarhus, Denmark: The Interaction Design Foundation. Available online at http://www.interaction design.org/encyclopedia/usability_evaluation.html.
  4. Gay, L. R., & Airasian, P., (2003). Educational Research: Competencies for Analysis and Applications. Merrill Prentice Hall: Columbus, OH.
  5. Gersten, R., Fuchs, L., Williams, J., & Baker. S., (2001). Teaching Reading Comprehension Strategies to Students with Learning Disabilities: A Review of Research, doi: 10.3102/00346543071002279 Review of Educational Research Summer 2001 vol. 71 no. 2 279-320.
  6. Haruechaiyasak, C., et al., (2008). A Comparative Study on Thai Word Segmentation Approaches, Proceeding of ECTI-CON.
  7. Human Language Technology Lab., (2009). HLT-VAJA Retrieved [September 2013] from the World Wide Web: spt.nectec.or.th/spt/.
  8. Hvannberg, E., Law, E., & Lárusdóttir, M. (2007). Heuristic Evaluation: Comparing Ways of Finding and Reporting Usability Problems, Interacting with Computers, 19 (2), 225-240.
  9. Kasuriya, S., Sornlertlamvanich, V., Cotsomrong, P., Kanokphara, S., & Thatphithakkul, N., (2003). Thai Speech Corpus for Thai Speech Recognition, The Oriental COCOSDA 2003, 54-61.
  10. Main, M., & Savitch, W., (2010). Data Structures and Other Objects Using C++. 4th Ed., Prentice Hall. ISBN 978-0132129480.
  11. Nielsen, J. (1994). Heuristic evaluation. In Nielsen, J., & Mack, R.L. (Eds.), Usability Inspection Methods. John Wiley & Sons, New York, NY.
  12. Poobrasert, O., et al., (2011). Usability in Designing Assistive Technology for Children with Learning Disabilities. Proceeding of the 5th International Convention on Rehabilitation Engineering & Assistive Technology, iCREATe 2011, Thailand.
  13. Poobrasert, O., et al., (2011). Technology-enhanced Learning for Students with Learning Disabilities. Retrieved [October 2011] From the World Wide Web: http://doi.ieeecomputer-society.org/10.1109/ ICALT.2 011.154.
  14. Pothibal, P. (2010). Report on Variants of the Word is used as a Rule of LD. (Unpublished).
  15. Rosson, M. & Carroll, J. (2010). Scenario-Based Usability Engineering (Paperback). Morgan & Claypool Publishers. San Rafael, CA.
  16. Shaywitz, Sally. (2005). Overcoming Dyslexia, A New and Complete Science-Based Program for Reading Problems at Any Level. 1st Ed., Vintage. ISBN-13: 978-0679781592.
  17. Su, Yunlin., & Song Y. Yan. (2011). Lexical Analysis Principles of Compilers. Springer Berlin Heidelberg. DOI 10.1007/978-3-642-20835-5_4.
  18. Viola, A. (2005). Exact Distribution of Individual Displacements in Linear Probing Hashing. Transactions on Algorithms (TALG) (ACM) 1 (2,): 214-242.
  19. Wren, S. (2004). Phoneme Awareness. Retrieved [August 2013] from the World Wide Web: http://www.balancedreading.com/phonemeawareness. html.
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Paper Citation


in Harvard Style

Poobrasert O. and Gestubtim W. (2014). Development of Assistive Technology - When Learning Disability is no Barrier . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 159-165. DOI: 10.5220/0004719201590165


in Bibtex Style

@conference{healthinf14,
author={Onintra Poobrasert and Waragorn Gestubtim},
title={Development of Assistive Technology - When Learning Disability is no Barrier},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={159-165},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004719201590165},
isbn={978-989-758-010-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Development of Assistive Technology - When Learning Disability is no Barrier
SN - 978-989-758-010-9
AU - Poobrasert O.
AU - Gestubtim W.
PY - 2014
SP - 159
EP - 165
DO - 10.5220/0004719201590165