Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/43340

TítuloLearning new words and spelling with autocorrections
Autor(es)Arif, Ahmed Sabbir
Sylla, Cristina Maria Santos Moreira Silva
Mazalek, Ali
Palavras-chaveChildren
Predictive keyboard
Color-coded autocorrect
Autocorrection
Spelling
Child
prediction
Data6-Nov-2016
EditoraACM
CitaçãoArif, A, Sylla, C., Mazalek, A. (2016). Learning New Words and Spelling with Autocorrections. In Proceedings of the ACM, International Conference on Interactive Surfaces and Spaces, ISS’16, Niaga Falls, Canada, Nov, 6-9. New York, NY: ACM Press. doi> http://dx.doi.org/10.1145/2992154.2996790.
Resumo(s)We present a novel color-coded feedback method that highlights the types of corrections made by autocorrections. We then present results of a longitudinal user study with 7-8-year-old children that compared the new method with the conventional autocorrection feedback method, in terms of leaning new words and spelling. Results suggested that the new method better accommodates learning new words. Interestingly, learning was observed with the conventional feedback method as well, demanding further investigation into whether predictive methods are truly a barrier to learning new words and spelling.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/43340
ISBN978-1-4503-4248-3
DOI10.1145/2992154.2996790
Versão da editorahttp://dl.acm.org/citation.cfm?doid=2992154.2996790
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CIEC - Textos em atas

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Este trabalho está licenciado sob uma Licença Creative Commons Creative Commons

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