NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 8 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Jayal, Ambikesh; Shepperd, Martin – Journal on Educational Resources in Computing, 2009
In this article we explore a problematic aspect of automated assessment of diagrams. Diagrams have partial and sometimes inconsistent semantics. Typically much of the meaning of a diagram resides in the labels; however, the choice of labeling is largely unrestricted. This means a correct solution may utilize differing yet semantically equivalent…
Descriptors: Spelling, Semantics, Problem Solving, Word Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Baron, Naomi S. – Educational Leadership, 2009
Are instant messaging and text messaging killing language? To hear what the popular media say, a handful of OMGs (oh my Gods) and smiley faces, along with a paucity of capital letters and punctuation marks, might be bringing English to its knees. Although journalists tend to sensationalize the linguistic strangeness of "online lingo," quantitative…
Descriptors: Electronic Mail, Punctuation, Linguistics, Synchronous Communication
Peer reviewed Peer reviewed
Direct linkDirect link
Cullen, Jennifer; Richards, Stephen B.; Frank, Catherine Lawless – Journal of Special Education Technology, 2009
This study used a modified multiple-baseline design to determine the effects on the writing performance of seven students with special needs when a talking word processor with spell checker software was used independent of and in conjunction with word prediction software as accommodations in daily writing exercises. Results indicated that, in…
Descriptors: Computer Software, Writing Exercises, Writing Skills, Word Processing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mezei, Peter; Heller, Kathryn Wolff – Physical Disabilities: Education and Related Services, 2005
Although word prediction software was originally developed for individuals with physical disabilities, little research has been conducted featuring participants with physical disabilities. Using the Co:Writer 4000 word prediction software, three participants with physical disabilities improved typing rate and spelling accuracy, and two of these…
Descriptors: Computer Software Evaluation, Assistive Technology, Physical Disabilities, Spelling
Peer reviewed Peer reviewed
Outhred, Lynne – Journal of Learning Disabilities, 1989
The study compared stories written on either a word processor or handwritten by 15 children (ages 8-12) with learning disabilities. Use of the word processor resulted in fewer spelling errors for children with severe spelling problems and longer stories for children having problems with the mechanics of the writing task. (Author/DB)
Descriptors: Creative Writing, Elementary Education, Handwriting, Instructional Effectiveness
Eiser, Leslie – Classroom Computer Learning, 1986
Highlights the advantages of word processors and spelling checkers in improving student writing skills. Explains how spelling checkers work and describes the types of available checkers. Also provides lists of Apple, IBM, and Commodore word processors and checkers. (ML)
Descriptors: Computer Assisted Instruction, Computer Science Education, Computer Uses in Education, Microcomputers
Peer reviewed Peer reviewed
Outhred, Lynne – Australia and New Zealand Journal of Developmental Disabilities, 1987
Fifteen learning-disabled students, aged 8-12 years, showed marked improvement in their story writing when they used a word processor as compared to handwritten stories. Children with severe spelling problems made fewer errors in their word-processed stories. Reluctant writers tended to write longer word-processed stories compared to handwritten…
Descriptors: Elementary Education, Handwriting, Learning Disabilities, Spelling
Corbeil, Jean-Claude – Francais dans le Monde, 1991
Discussion of French language planning focuses on two different roles: official, cherished language of France and international language subject to outside influence. Three areas of concern are discussed: borrowing from English; lexical variation outside France; and influence of computer science on language, particularly the use of spell-checking…
Descriptors: Computer Software, Dictionaries, English, French