Related Resources on the LD@school Website

Please review the module pages for resources relevant to the specific concepts covered in each section. The following are other resources on the LD@school website that have not been mentioned previously in this module.

Media Resources

Click here to access the video Blended Learning: Levelling the Playing Field for Students with Learning Disabilities.

Click here to access the video Building Reading Skills through Assistive Technology.

Click here to access the webinar recording The Evolution of Assistive Technology: Mobile Learning in a Digital World.

Click here to access the webinar recording Lead with Pedagogy, follow with Technology.

Click here to access the webinar recording Digital Mathematics: Bringing Google g(Math) into the Classroom.

Click here to access the podcast How Assistive Technology (AT) Affects Self-Esteem.

 

Articles

Click here to access the article Mobile Assistive Technology for Learning in a Digital World.

Click here to access the article Metacognition and Assistive Technology.

Click here to access the article Choosing Appropriate Assistive Technology for Students with ADHD.

Click here to access the resource Supporting Students with Learning Disabilities Through a Universal Design for Learning Approach to Technology.

Click here to access the resource Reading Rockets – Assistive Technology for Kids with Learning Disabilities: An Overview.

References

Adcock, W., Luna, E., Parkhurst, J., Poncy, B., Skinner, C., & Yaw, J. (2010). Effective class-wide remediation: Using technology to identify idiosyncratic math facts for additional automaticity drills. The International Journal of Behavioral Consultation and Therapy, 6, 111-123.

Amiripour, P., Bijan-zadeh, M. H.,  Pezeshki, P., & Najafi, M. (2011). Effects of assistive technology instruction on increasing motivation and capacity of mathematical problem solving in dyscalcula student. Educational Research, 2(10), 1611-1618.

Bethell, S. & Miller, N. (1998). From an E to an A in first year algebra with the help of a graphing calculator. Mathematics Teacher, 91, 118-119.

Bouck, E. C., Bassette, L., Taber-Doughty, T., Flanagan, S. M., & Szwed, K. (2009). Pentop computers as tools for teaching multiplication to students with mild intellectual disabilities. Education and Training in Developmental Disabilities, 44, 367–380.

Bouck, E. & Flanagan, S. (2009). Assistive technology and mathematics: What is there and where can we go in special education. Journal of Special Education Technology, 24, 24-30.

Bouck, E., Flanagan, S., Miller, B., & Bassette, L. (2012). Technology In Action. Journal of Special Education Technology, 27, 47-57.

Chiang, H., & Jacobs, K. (2009). Effect of computer-based instruction on students’ self-perception and functional task performance. Disability and Rehabilitation: Assistive Technology, 4(2), 106-118. doi:10.1080/17483100802613693

Council of Ontario Directors of Education. (2017). Technology and Learning Fund: A Guide to Implementation 2017. Retrieved from http://www.edugains.ca/resourcesAER/Overview/TechnologyAndLearningFund_2017.pdf

Cullen, J., Richards, S. B., & Frank, C. L. (2008). Using software to enhance the writing skills of students with special needs. Journal of Special Education Technology, 23, 33-44.

Doughty, T., Bouck, E., Bassette, L., Szwed, K. & Flanagan, S. (2013). Spelling on the fly: Investigating a pentop computer to improve the spelling skills of three elementary students with disabilities. Assistive Technology, 25, 166-175. doi:10.1080/10400435.2012.743491

EduGains. (n.d.). About 21st Century Learning in Ontario. Retrieved from http://www.edugains.ca/newsite/21stCenturyLearning/about_learning_in_ontario.html

Englert, C. S., Wu, X., & Zhao, Y. (2005). Cognitive tools for writing: Scaffolding the performance of students through technology. Learning Disabilities Research and Practice, 20, 184-198. doi:10.1111/j.1540-5826.2005.00132.x

Englert, C. S., Zhao, Y., Dunsmore, K., Collings, N. Y., & Woblers, K. (2007). Scaffolding the writing of students with disabilities through procedural facilitation: Using an Internet-based technology to improve performance. Learning Disability Quarterly, 30, 9-29. doi:10.2307/30035513

Evmenova, A., Graff, H., Jerome, M., & Behrmann, M. (2010). Word prediction programs with phonetic spelling support: Performance comparisons and impact on journal writing for students with writing difficulties. Learning Disabilities Research & Practice, 25(4), 170–182. doi:10.1111/j.1540-5826.2010.00315.x

Fasting, R. B., & Halaas Lyster, S. (2005). The effects of computer technology in assisting the development of literacy in young struggling readers and spellers. European Journal of Special Needs Education, 20(1), 21-40. doi:10.1080/0885625042000319061

Graham, S. (1999). The role of text production skills in writing development: A special issue. Learning Disabilities Quarterly, 22, 75-77. doi:10.2307/1511267

Handley-More, D., Dietz, J., Billingsley, F., & Coggins, T. (2003). Facilitating written work using computer word processing and word prediction. The American Journal of Occupational Therapy, 57, 139-151. doi:10.5014/ajot.57.2.139

Hecker, L., Burns, L., Elkind, J., Elkind, K., & Katz, L. (2002). Benefits of assistive reading software for students with attention disorders. Annals of Dyslexia, 52, 243–272. doi:10.1007/s11881-002-0015-8

Higgins, E. L., & Raskind, M. H. (2000). Speaking to read: A comparison of continuous vs. discrete speech recognition in the remediation of learning disabilities. Journal of Special Education Technology, 15, 19-30.

Holmes, A., & Silvestri, R. (2009). Text-to-voice technology in adult aboriginal sample with reading difficulties: Examination of the efficacy. Toronto, ON: Aboriginal Office of the Ministry of Education and Ministry of Training, Colleges, and Universities.

Institute for the Advancement of Research in Education. (2003). Graphic organizers: A review of scientifically based research. Prepared for Inspiration Software at AEL.

Izzo, M., Yurick, A., & McArrell, B. (2009). Supported eText: Effects of text-to-speech on access and achievement for high school students with disabilities. Journal of Special Education Technology, 24, 9-20.

Lee, Y., & Vail, C. O. (2005). Computer-based reading instruction for young children with disabilities. Journal of Special Education Technology, 20, 5–18.

Lewis, R. (1998). Assistive technology and learning disabilities: Today’s realities and tomorrow’s promises. Journal of Learning Disabilities, 31, 16-26.

Lewis, R., Graves, A., Ashton, T.,  & Kieley, C. (1998). Word processing tools for students with learning disabilities: A comparison of strategies to increase text entry speed. Learning Disabilities Research and Practice, 13, 95-108.

MacArthur, C. A. (1999). Word prediction for students with severe spelling problems. Learning Disability Quarterly, 22, 158–172. doi:10.2307/1511283

MacArthur, C. (2009). Reflections on research on writing and technology for struggling writers. Learning Disabilities Research & Practice, 24(2), 93–103. doi:10.1111/j.1540-5826.2009.00283.x

MacArthur, C., & Cavalier, A. (2004). Dictation and speech recognition technology as test accommodations. Exceptional Children, 71(1), 43-58. doi:10.1177/001440290407100103

MacArthur, C. A., Ferretti, R. P., Okolo, C. M., & Cavalier, A. R. (2001). Technology applications for students with literacy problems: A critical review. The Elementary School Journal, 101(3), 273-301. doi:10.1086/499669

Montali, J., & Lewandowski, L.  J. (1996). Bimodal reading: Benefits of a talking computer for average and less skilled readers. Journal of Learning Disabilities, 29, 271-279. doi:10.1177/002221949602900305

Okolo, C. M., & Diedrich, J. (2014). Twenty-five years later: How is technology used in the education of students with disabilities? Results of a statewide study. Journal of Special Education Technology, 29(1), 1-20.

Ontario Ministry of Education. (2004). The Individual Education Plan (IEP): A Resource Guide. Retrieved from http://www.edu.gov.on.ca/eng/general/elemsec/speced/guide/resource/iepresguid.pdf

Ontario Ministry of Education. (2013). Learning for all: A guide to effective assessment and instruction for all students, Kindergarten to Grade 12. Toronto, ON: Queen’s Printer for Ontario. Retrieved from
http://www.edu.gov.on.ca/eng/general/elemsec/speced/LearningforAll2013.pdf

Ontario Teachers’ Federation. (n.d.). Assistive Technology. Retrieved from https://www.teachspeced.ca/assistive-technology

Peterson-Karlan, G. R. (2011). Technology to support writing by students with learning and academic disabilities: Recent research trends and findings. Assistive Technology Outcomes and Benefits, 7(1), 39-62.

Raskind, M. & Higgins, E. (1995). Effects of speech synthesis on the proofreading efficiency of postsecondary students with learning disabilities, Learning Disability Quarterly, 18, 141-158. doi:10.2307/1511201

Raskind, M. & Higgins, E. (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. doi:10.1007/s11881-999-0026-9

Rao, K., Dowrick, P., Yuen, J., & Boisvert, P. (2009). Writing in a multimedia environment: Pilot outcomes for high school students in special education. Journal of Special Education Technology, 24, 27-38.

Schmitt, A., McCallum, E., Hennessey, J., Lovelace, T., & Hawkins, R. (2012). Use of reading pen assistive technology to accommodate post-secondary students with reading disabilities. Assistive Technology, 24, 229-239. doi:10.1080/10400435.2012.659956

Sider, S., & Maich, K. (2014). Assistive Technology Tools: Supporting Literacy Learning for All Learners in the Inclusive Classroom. Retrieved from http://www.edu.gov.on.ca/eng/literacynumeracy/inspire/research/ww_technologytools.pdf

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, 17-32.

SNOW. (2013). AT in the Individual Education Plan (IEP). Retrieved from https://snow.idrc.ocadu.ca/

Stetter, M. E., & Hughes, M. T. (2010). Computer-assisted instruction to enhance the reading comprehension of struggling readers: A review of the literature. Journal of Special Education Technology, 25(4), 1-16.

Stodden, R. A., Roberts, K. D., Takahishi, K., Park, H. J., & Stodden, N. J. (2012). The use of text-to-speech software to improve reading skills of high school struggling readers. Procedia Computer Science, 14, 359-362. doi:10.1016/j.procs.2012.10.041

Strangman, N., & Dalton, B. (2005). Using technology to support struggling readers: A review of the research. In D. Edyburn, K. Higgins, & R. Boone (Eds.), Handbook of special education technology research and practice (pp. 325-334). Whitefish Bay, WI: Knowledge by Design, Inc.

Sturm, J. M., & Rankin-Erickson, J. L. (2002). Effects of hand-drawn and computer-generated concept mapping on the expository writing of students with learning disabilities. Learning Disabilities Research and Practice, 17, 124-129. doi:10.1111/1540-5826.00039

Tam, C., Archer, J., Mays, J., & Skidmore, G. (2005). Measuring the outcomes of word cueing technology. The Canadian Journal of Occupational Therapy, 72(5), 301-308. doi:10.1177/000841740507200507

Wanzek, J., Vaughn, S., Wexler, J., Swanson, E., Edmonds, M., & Kim, A. (2006). A synthesis of spelling and reading interventions and their effects on the spelling outcomes of students with LD. Journal of Learning Disabilities, 39, 528-543. doi:10.1177/00222194060390060501

Vaughn, S. & Bos, C. (2009). Strategies for teaching students with learning and behaviour problems (7thed.). Upper Saddle River, NJ, Pearson.

Zabala, J.S. and Carl, D.F. (2005). Quality Indicators for Assistive Technology Services in Schools. In: K. Higgins and R. Boone (Eds.), Handbook of special education technology research and practice (p. 179-208). Whitefish Bay, Wisconsin: Knowledge by Design Inc.

Zhang, Y. (2000). Technology and the writing skills of students with learning disabilities. Journal of Research on Computing in Education, 32, 467-478.