Home | Facebook icon 2 Home | Twitter graphic   
 

 

Information-Deselected Graphic What's New-Deselected Graphic Features-Deselected Graphic Research-Selected Graphic Resources-Deselected Graphic Topic Dictionaries-Deselected Graphic

 


Co:Writer Research

 

(PDF files, requires Acrobat Reader)
 
 

Co:Writer | Case Study: Sarah C. Williams Appalachian State graphicHow Speech-Feedback and Word-Prediction Software Can Help Students Write


Sarah C. Williams - TEACHING Exceptional Children Vol 34 Number 3 ©2002, Council for Exceptional Children (CEC)

 


 

Co:Writer | Canada Study graphicBuilding Blocks for UDL by the team at Birchland Elementary School, Port Coquitlam, BC




   
 
 
 

Co:Writer | Co:Writer Research ATIA pdfDeveloping Technology-Supported, Evidence-Based Writing Instruction for Adolescents with Significant Writing Disabilities


Barbara A. Wollak and David A. Koppenhaver - Assistive Technology Outcomes and Benefits Vol 7 Number 1  ©2011, Assistive Technology Industry Association (ATIA) and Special Education Assistive Technology (SEAT) Center.



Co:Writer Case Study Daniel McNultyTeaching Words as Symbols for Students with Autism

Daniel McNulty, NE Coordinator for the Indiana PATINS Project, Indiana, November 2009

 

 

Co:Writer Case Study Murphy McBride graphicMaking a Difference for Students with Autism - Transforming Non-Writers into Writers with Word Prediction

Murphy McBride, SCORES Teacher, Joe Dan Mills Elementary School, Austin, TX (SCORES - Social Communication Resources and Services), April 2009

 


Case Study Co:Writer Desert Ridge AZ graphicCase Study: Assistive Technology Tool Changes Student's Outlook on Learning and Life

Sharon Dees and Kathleen Sawyers, Gilbert Public Schools, AZ, Julie Dobson, Desert Ridge Junior High School, AZ, April 2008 Arizona





Co:Writer | SOLO NCTI Case Study graphicCase Study: SOLO NCTI Quasi-Experimental Research Study Shows Increased Writing Gains when Technology is Paired with Instruction

Proven Writing Strategies Paired with Innovative Technologies Increased Student Outcomes (on Average) 24% for Low, Middle and High Performers - SOLO®. Implementation Model Karen Erickson, Ph. D., Associate Professor University of North Carolina at Chapel Hill. September 2006 (PDF 808 KB)

 


Co:Writer Write:OutLoud Research Study graphicResearch Study: Using Software to Enhance the Writing Skills of Students with Special Needs

Jennifer Cullen, Dayton, Ohio Public Schools, Stephen B. Richards and Catherine Lawless Frank, University of Dayton. Journal of Special Education Technology 23 (2), 33-43 (PDF 1.1 KB)

 

 

Co:Writer Research graphicResearch Study: Effects of Co:Writer Word Prediction Software on the Writing Achievement of Students with Learning Disabilities

Staples, A., Heying, K. and McLellan, J., (1995), A directed Research Project Submitted in partial fulfillment of the requirements for the degree of master of Education Faculty of Graduate Studies April 1995 (PDF, 156 KB)

 


Measuring Effectiveness graphicMeasuring Effectiveness: Technology to Support Writing

Sally Fennema-Jansen (Special Education Technology January/February 2001, pp.16-22)This article consists of 8 page(s). (PDF, 76 KB)


 

 

Learning Disabilities Webiste graphicWord Processing with Speech Synthesis and Word Prediction: Effects on the Dialogue Journal Writing of Students with Learning Disabilities

Charles A. MacArthur, Learning Disability Quarterly, Vol. 21, No. 2 (Spring, 1998), pp. 151-166 doi:10.2307/1511342 This article consists of 16 page(s).


Impact of Word Prediction graphicThe Impact of Word Prediction Software on the Written Output of Students with Physical Disabilities

Pat Miranda, Kirsten Turoldo, Constance McAvoy, Journal of Special Education Technology, v21 n3 p5-12 Sum 2006

 

Word Prediction by The CALL Centre & Scottish Executive Education Dept graphicWord Prediction by The CALL Centre & Scottish Executive Education Dept

Copyright (c) The CALL Centre & Scottish Executive Education Dept (PDF 208 KB)

 

 

 

 

Using Word Prediction Full article graphicUsing Word Prediction Software to Increase Typing Fluency with Students with Physical Disabilities (Full Article)


 

 

Using Word Prediction summary graphicUsing Word Prediction Software to Increase Typing Fluency With Students With Physical Disabilities (Summary)

By Tumlin, Jennifer;Wolff Heller, Kathryn; Journal of Special Education Technology, Vol. 19, No. 3, pp. 5-13 Publication Date: Summer 2004 This is targeted towards students with Physical Disabilities. It addresses speed of typing and spelling.


Other Sources:

Lewis, R., Graves, A., Ashton, T., & Kieley, C. (1996, April). Text entry strategies for improving writing fluency of students with learning disabilities. Paper presented at the annual meeting of the Council for Exceptional Children, Orlando, FL. Reported that students with learning disabilities who had modest experience writing with a computer produced text slightly faster with word prediction (with the speech synthesis turned off) than with typing, but still more slowly than with hand- writing. These results, however, might well differ given more practice with keyboarding.

MacArthur, C. A. (1996). Using technology to enhance the writing processes of students with learning disabilities. Journal of Learning Disabilities, 29,344-354. Reviewed ways that technology can support writing processes, including basic transcription and sentence generation, planning and revising processes, and collaboration and communication.

MacArthur, C. A. (1997b). [Two studies on word prediction and speech synthesis with students with severe writing disabilities]. Unpublished raw data. Students alternated use of a sophisticated word prediction program with a 10,000- word vocabulary and speech synthesis, a standard word processor, and handwriting. The initial study found no differences between conditions, but a subsequent study using a writing task requiring a larger vocabulary found a positive impact of word prediction on spelling and legibility for 2 of 3 students.