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Use of predictive text in text messaging over the course of a year and its relationship with spelling, orthographic processing and grammar
Author(s) -
Waldron Sam,
Wood Clare,
Kemp Nenagh
Publication year - 2017
Publication title -
journal of research in reading
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.077
H-Index - 51
eISSN - 1467-9817
pISSN - 0141-0423
DOI - 10.1111/1467-9817.12073
Subject(s) - spelling , text messaging , grammar , psychology , consistency (knowledge bases) , literacy , linguistics , reading (process) , computer science , artificial intelligence , pedagogy , world wide web , philosophy
An investigation into the impact of predictive text use upon the literacy skills of primary school, secondary school and university cohorts was conducted over the course of a year. No differences in use of text abbreviations (‘textisms’) were found between predictive text users and nonusers. However, secondary school children who used predictive text made more genuine spelling errors than nonusers. Predictive text was related to use of some specific grammatical violations in school‐age children's text messages but was not related overall to the tendency to make grammatical errors when texting. University students, however, made significantly fewer grammatical errors in their text messages when they used predictive text. Over the course of a year, predictive text use was variable for all age groups. Consistency of predictive text use was unrelated to grammatical understanding, spelling or orthographic processing for primary and secondary school cohorts. Predictive text use was negatively related to morphological awareness for adult participants.