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Assistive Technology for Individuals with Learning Disabilities

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Assistive Technologies for People with Diverse Abilities

Abstract

About 6 % of school-age students have a learning disability (LD), which is the largest special education category in terms of number of students. These students face academic challenges that are varied in reading, writing, and mathematics. Although not all students with LD have disabilities in all three areas, a high percentage of students have multiple LD. Over the years, assistive technology (AT) devices and services have increased exponentially the possibilities for individuals with learning disabilities (LD) to access the general education curriculum and focus on learning and academic success. The purpose of this chapter is to examine how individuals with LD use AT devices to help compensate for their disability-related weaknesses in reading, writing, and mathematics. We provide the definitional elements and characteristic behaviors of LD and present the Adaptations Framework to help teachers examine the tasks of their classrooms and the requisite abilities that are required to do the tasks compared to the strengths and weaknesses presented by students with LD. We describe AT devices, which are available for instruction to promote academic success in reading, mathematics, and writing, and discuss a process for conducting an AT assessment for students with LD. Additionally, we examine how CAI has progressed to be a viable option for improving reading, writing, and mathematics abilities. Finally, an overview of findings from research studies involving AT devices and academic areas is offered to provide insight about the potential promise of AT to promote access to instruction and academic success with individuals with LD.

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References

  • Achieve. (2011). State college-and career-ready high school graduation requirements. Retrieved from http://www.achieve.org/state-college-and-career-ready-high-school-graduation-requirements-comparison-table

  • Archer, A. L., & Hughes, C. A. (2010). Explicit instruction: Effective and efficient teaching. New York: Guilford Press.

    Google Scholar 

  • Bahr, C. M., Nelson, N. W., & Van Meter, A. (1996). The effects of text-based and graphics-based software tools on planning and organizing of stories. Journal of Learning Disabilities, 29, 355–382.

    Article  PubMed  Google Scholar 

  • Betts, A. B. (1936). The prevention and correction of reading difficulties. Evanston: Row, Peterson and Company.

    Google Scholar 

  • Boone, R., & Higgins, K. (2007). The software -List: Evaluating educational software for use by students with disabilities. Technology in Action, 3(1), 1–16.

    Google Scholar 

  • Bryant, B. R., Ok, M., Kang, E. Y., Kim., M., Lang, R., Bryant, D. P., Pfannestiel, K. (2013). A multi-dimensional comparison of mathematics interventions for 4th grade students with learning disabilities. Submitted for publication.

    Google Scholar 

  • Bryant, D. P., & Bryant, B. R. (1998). Using assistive technology adaptations to include students with learning disabilities in cooperative learning activities. Journal of Learning Disabilities, 31(1), 41–54.

    Article  PubMed  Google Scholar 

  • Bryant, D. P., & Bryant, B. R. (2011). Assistive technology for people with disabilities (2nd ed.). Boston: Allyn and Bacon.

    Google Scholar 

  • Bryant, B. R., Bryant, D. P., Hammill, D. D., Sorrells, A. M., & Kethley, C. I. (2004). Characteristic reading behaviors of poor readers who have learning disabilities. Assessment for Effective Intervention, 19, 39–46.

    Article  Google Scholar 

  • Bryant, D. P., Bryant, B. R., & Hammill, D. D. (2000). Characteristic behaviors of students with learning disabilities who have teacher-identified math weaknesses. Journal of Learning Disabilities, 33(2), 168–177, 199.

    Google Scholar 

  • Bryant, D. P., Smith, D. D., & Bryant, B. R. (2008). Teaching students with special needs in inclusive settings. Boston: Allyn and Bacon.

    Google Scholar 

  • Bryant, D. P., Ugel, N., Thompson, S., & Hamff, A. (1999). Strategies to promote content area reading instruction. Intervention in School and Clinic, 34(5), 293–302.

    Article  Google Scholar 

  • Chiang, B. (1986). Initial learning and transfer effects of microcomputer drills on LD students’ multiplication skills. Learning Disability Quarterly, 9, 118–123.

    Article  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale: Erlbaum.

    Google Scholar 

  • Douglas, K., Wojic, B. W., & Thompson, J. R. (2012). Is there an app for that? Journal of Special Education Technology, 27(2), 59–70.

    Google Scholar 

  • Edmonds, M. S., Vaughn, S., Wexler, J., Reutebuch, C., Cable, A., Tackett, K. K., et al. (2009). A synthesis of reading interventions and effects on reading comprehension outcomes for older struggling readers. Review of Educational Research, 79(1), 262–300.

    Article  PubMed Central  PubMed  Google Scholar 

  • Flower, A., McKenna, J., Muething, C., Bryant, D. P., & Bryant, B. R. (2013). Effects of the good behavior game on the behavior of students with disabilities who are receiving basic algebra instruction in a high school resource setting. Submitted for publication.

    Google Scholar 

  • Fuchs, L. S., Compton, D. L., Fuchs, D., Paulsen, K., Bryant, J., & Hamlett, C. L. (2005). Responsiveness to intervention: Preventing and identifying mathematics disability. Teaching Exceptional Children, 37(4), 60–63.

    Google Scholar 

  • Geary, D. C. (2004). Mathematics and learning disabilities. Journal of Learning Disabilities, 37, 4–15.

    Article  PubMed  Google Scholar 

  • Gersten, R., & Edyburn, D. (2007). Defining quality indicators for special education technology research. Journal of Special Education Technology Research, 22(3), 3–14.

    Google Scholar 

  • Gersten, R., Jordan, N. C., & Flojo, J. R. (2005). Early identification and intervention for students with mathematics difficulties. Journal of Learning Disabilities, 38(4), 293–304.

    Article  PubMed  Google Scholar 

  • Graham, S., Harris, K. R., & McKeown, D. (2013). The writing of students with learning disabilities, meta-analysis of Self-Regulated Strategy Development writing intervention studies, and future directions: Redux. In H. L. Swanson, K. R. Harris, & S. Graham (Eds.), Handbook of learning disabilities (pp. 405–438). New York: Guilford Press.

    Google Scholar 

  • Graham, S., & Perin, D. (2007). Writing next: Effective strategies to improve writing of adolescents in middle and high schools. Retrieved from http://www.all4ed.org/publications/WritingNext/index.html

  • Hammill, D. D. (1990). On defining learning disabilities: An emerging consensus. Journal of Learning Disabilities, 23(2), 74–84.

    Article  PubMed  Google Scholar 

  • Hammill, D. D., & Bryant, B. R. (1998). Learning Disabilities Diagnostic Inventory. Austin: PRO-ED.

    Google Scholar 

  • Hammill, D. D., & Bryant, B. R. (1996). Characteristic behaviors of learning disabilities. Unpublished survey. Austin: Authors.

    Google Scholar 

  • Hammill, D. D., & Larsen, S. C. (1988). Test of written language-2. Austin: PRO-ED.

    Google Scholar 

  • Hanich, L. B., Jordan, N. C., Kaplan, D., & Dick, J. (2001). Performance across different areas of mathematical cognition in children with learning difficulties. Journal of Educational Psychology, 93, 615–626.

    Article  Google Scholar 

  • Higgins, K., Boone, R., & Lovitt, T. C. (1996). Hypertext support for remedial students and students with learning disabilities. Journal of Learning Disabilities, 29, 402–412.

    Article  PubMed  Google Scholar 

  • Higgins, E. L., & Raskind, M. H. (2005). The compensatory effectiveness of the Quicktionary Reading Pen II on the reading comprehension of students with learning disabilities. Journal of Special Education Technology, 20(1), 31–39.

    Google Scholar 

  • Hoover, W. A., & Gough, P. B. (1990). The simple view of reading. Reading and Writing: An Interdisciplinary Journal, 2(2), 127–160.

    Article  Google Scholar 

  • Hughes, C. A., & Maccini, P. (1996). Computer-assisted mathematics instruction for students with learning disabilities: A research review. Learning Disabilities, 8(3), 155–166.

    Google Scholar 

  • Individuals with Disabilities Education Act of 1997 (IDEA 1997), Pub. L. No. 105-17, 111 Stat. 37

    Google Scholar 

  • Individuals with Disabilities Education Act of 2004 (IDEA 2004), 20 U.S.C. Sec. 1401 retrieved on July 2, 2012 at http://idea.ed.gov

  • Interagency Committee on Learning Disabilities. (1987). Learning disabilities: A report to the U.S. Congress. Bethesda, MD: National Institutes of Health.

    Google Scholar 

  • International Business Machines (IBM). (1991). Technology and persons with disabilities. Atlanta: IBM Corporate Support Programs.

    Google Scholar 

  • Jordan, N. C., Kaplan, D., & Hanich, L. B. (2002). Achievement growth in children with learning difficulties in mathematics: Findings of a two-year longitudinal study. Journal of Educational Psychology, 94, 586–597.

    Article  Google Scholar 

  • Kim, A. (2002). Effects of computer-assisted collaborative strategic reading (CACSR) on reading comprehension for students with learning disabilities. Unpublicized doctoral dissertation. Austin: University of Texas.

    Google Scholar 

  • Kim, A., Vaughn, S., Klingner, J. K., Woodruff, A. L., Reutebuch, C. K., & Kouzekanani, K. (2006). Improving the reading comprehension of middle school students with disabilities through computer-assisted collaborative strategic reading. Remedial and Special Education, 27(4), 235–249.

    Article  Google Scholar 

  • Kirk, S. A. (1962). Educating exceptional children. Boston: Houghton Mifflin.

    Google Scholar 

  • Kirk, S. A. (1963). Behavioral diagnosis and remediation of learning disabilities: Proceedings of the conference on exploration into problems of the perceptually handicapped child. Chicago: Perceptually Handicapped Children.

    Google Scholar 

  • Klingner, J. K., Vaughn, S., & Schumm, J. S. (1998). Collaborative strategic reading in heterogenous classrooms. The Elementary School Journal, 99, 3–21.

    Article  Google Scholar 

  • MacArthur, C. A. (1998). Word processing with speech synthesis and word prediction: Effects on the dialogue journal writing of students with learning disabilities. Learning Disability Quarterly, 21, 152–166.

    Article  Google Scholar 

  • MacArthur, C. A. (2009). Reflections on research on writing and technology for struggling writers. Learning Disabilities Research and Practice, 24(2), 93–103.

    Article  Google Scholar 

  • MacArthur, C. A., Graham, S., Haynes, J. B., & DeLaPaz, S. (1996). Spelling checkers and students with learning disabilities: Performance comparisons and impact on spelling. The Journal of Special Education, 30(1), 35–57.

    Article  Google Scholar 

  • MacArthur, C. A., Graham, S., & Schwartz, S. S. (1991). Integrating word processing and strategy instruction into a process approach to writing. School Psychology Review, 22, 671–681.

    Google Scholar 

  • Manset-Williamson, G., Dunn, M., Hinshaw, R., & Nelson, J. M. (2008). The impact of self-questioning strategy use on the text-reader assisted comprehension of students with reading disabilities. International Journal of Special Education, 23(1), 123–135.

    Google Scholar 

  • Mazzocco, M. M. M., & Devlin, K. T. (2008). Parts and holes: Gaps in rational number sense in children with versus without mathematical learning disability. Developmental Science, 11(5), 681–691.

    Article  PubMed  Google Scholar 

  • McDermott, P. A., & Watkins, M. W. (1983). Computerized versus conventional remedial instruction for learning-disabled pupils. The Journal of Special Education, 17, 81–88.

    Article  Google Scholar 

  • Murphy, M. M., Mazzocco, M. M. M., Hanich, L. B., & Early, M. C. (2007). Cognitive characteristics of children with mathematics learning disability (MLD) vary as a function of the cutoff criterion used to define MLD. Journal of Learning Disabilities, 40, 458–478.

    Article  PubMed  Google Scholar 

  • National Advisory Committee on Handicapped Children. (1968). Special education for handicapped children (First Annual Report). Washington DC: Department of Health, Education, and Welfare.

    Google Scholar 

  • National Joint Committee on Learning Disabilities. (1981). Learning disabilities: Issues on definition. Journal of Learning Disabilities, 20, 107–108.

    Google Scholar 

  • National Reading Panel (2000). Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction: Reports of the subgroups. Available online at http//www.nichd.nih.gov/publications/nrp/smallbook.htm

  • Nirvi, S. (2011). Special education pupils find learning tool in iPad applications. Education Week, 30(22), 16–17.

    Google Scholar 

  • No Child Left Behind (NCLB) Act of 2001, Pub. L. No. 107-110, § 115, Stat. 1425 (2002).

    Google Scholar 

  • Okolo, C. M. (1992). The effect of computer-assisted instruction format and initial attitude on the arithmetic facts proficiency and continuing motivation of students with learning disabilities. Exceptionality, 3, 195–211.

    Article  Google Scholar 

  • Okolo, C. M., Bahr, C. M., & Rieth, H. J. (1993). A retrospective view of computer-based instruction. Journal of Special Education Technology, 12, 1–27.

    Google Scholar 

  • Raskind, M. H., & Bryant, B. R. (2002). Functional evaluation for assistive technology. Austin: Psycho-educational Services.

    Google Scholar 

  • Raskind, M. H., & Higgins, E. L. (1999). Speaking to read: The effects of speech recognition technology on the reading and spelling performance of children with learning disabilities. Annals of Dyslexia, 49, 251–281.

    Article  Google Scholar 

  • Rieth, H. J., & Evertson, C. (1988). Variables related to the effective instruction of difficult-to-teach children. Focus on Exceptional Children, 20(5), 1–8.

    Google Scholar 

  • Roberts, G., Torgesen, J. K., Boardman, A., & Scammacca, N. (2008). Evidence-based strategies for reading instruction of older students with learning disabilities. Learning Disabilities Research and Practice, 23(2), 63–69.

    Article  Google Scholar 

  • Schumaker, J. B., & Deshler, D. D. (1984). Setting demand variables: A major factor in program planning for the LD adolescent. Topics in Language Disorders, 4(2), 22–40.

    Article  Google Scholar 

  • Seo, Y.-J., & Bryant, D. P. (2012). Multimedia CAI program for students with mathematics difficulties. Remedial and Special Education, 33(4), 217–225.

    Article  Google Scholar 

  • Silió, M. C., & Barbetta, P. M. (2010). The effects of word prediction and text-to-speech technologies on the narrative writing skills of Hispanic students with specific learning disabilities. Journal of Special Education Technology, 25(4), 17–32.

    Google Scholar 

  • Snow, C. E., Burns, M. S., & Griffin, P. (Eds.). (1998). Preventing reading difficulties in young children. Washington, DC: National Academy Press.

    Google Scholar 

  • Swanson, H. L. (2006). Cognitive processes that underlie mathematical precociousness in young children. Journal of Experimental Child Psychology, 93, 239–264.

    Article  PubMed  Google Scholar 

  • Twyman, T., & Tindal, G. (2006). Using a computer-adapted, conceptually based history text to increase comprehension and problem-solving skills of students with disabilities. Journal of Special Education Technology, 21(2), 5–16.

    Google Scholar 

  • Ulman, J. G. (2005). Making technology work for learners with special needs: Practical skills for teachers. Boston: Allyn and Bacon.

    Google Scholar 

  • U.S. Office of Education. (1977). Definition and criteria for defining students as learning disabled. Federal Register, 42:250, 65083. Washington, DC: US Government Printing Office.

    Google Scholar 

  • U.S. Department of Education. (2002). Twenty-fourth annual report to Congress on the implementation of the individuals with disabilities education act. Washington, DC: U.S. Government Printing Office.

    Google Scholar 

  • Wilson, R., Majsterek, D., & Simmons, D. (1996). The effects of computer-assisted versus teacher-directed instruction on the multiplication performance of elementary students with learning disabilities. Journal of Learning Disabilities, 29, 382–390.

    Article  PubMed  Google Scholar 

  • Woodward, J., & Rieth, H. (1997). A historical review of technology research in special education, Review of Educational Research, 67(4), 503—536.

    Google Scholar 

  • Zhang, Y. (2000). Technology and the writing skills of students with learning disabilities. Journal of Research on Computing in Education, 32, 467–477.

    Google Scholar 

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Correspondence to Diane Pedrotty Bryant .

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Bryant, D.P., Bryant, B.R., Ok, M.W. (2014). Assistive Technology for Individuals with Learning Disabilities. In: Lancioni, G., Singh, N. (eds) Assistive Technologies for People with Diverse Abilities. Autism and Child Psychopathology Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-8029-8_9

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