RECAST SEEN THROUGH MULTIPLE INTELLIGENCES’ LENS

There has been a host of research on recast so far, despite which it is still controversial if it is any effective. The main argument against recasts is that they often go unnoticed by students due to their implicit nature. It is hypothesized in the light of the theory of Multiple Intelligences (MI)...

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Main Authors: Fatemeh Hajikhani, Hojjat Abedi
Format: Article
Language:English
Published: Informascope 2019-07-01
Series:International Online Journal of Education and Teaching
Online Access:http://www.iojet.org/index.php/IOJET/article/view/594
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author Fatemeh Hajikhani
Hojjat Abedi
author_facet Fatemeh Hajikhani
Hojjat Abedi
author_sort Fatemeh Hajikhani
collection DOAJ
description There has been a host of research on recast so far, despite which it is still controversial if it is any effective. The main argument against recasts is that they often go unnoticed by students due to their implicit nature. It is hypothesized in the light of the theory of Multiple Intelligences (MI) that certain intelligences might affect the noticeability of recasts. Therefore, this paper aimed to find if certain intelligence help learners notice recasts. To fulfill this, 121 pre-intermediate EFL learners in 9 different classes were selected using convenience sampling. A questionnaire was used to measure their MI. Moreover, they were observed for 104 hours for the occurrence of recast and uptake using a checklist. For data analysis, multiple regression was used to find out if any components of MI were significant predictors of recasts’ success in leading to uptake. The results indicated that musical, visual, and verbal intelligence significantly predicted whether recasts will be perceived by students as corrective feedback. Therefore, it was concluded that it is essential to build MI into the picture when evaluating the efficacy of recasts on the grounds that students with certain dominant intelligence benefit from subtle clues which in turn help them notice recasts.
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spelling doaj.art-e07a188e08364ac7a546941b2b26cabd2023-02-15T16:21:25ZengInformascopeInternational Online Journal of Education and Teaching2148-225X2019-07-0163443454594RECAST SEEN THROUGH MULTIPLE INTELLIGENCES’ LENSFatemeh Hajikhani0Hojjat Abedi1University of GilanShahid Beheshti UniversityThere has been a host of research on recast so far, despite which it is still controversial if it is any effective. The main argument against recasts is that they often go unnoticed by students due to their implicit nature. It is hypothesized in the light of the theory of Multiple Intelligences (MI) that certain intelligences might affect the noticeability of recasts. Therefore, this paper aimed to find if certain intelligence help learners notice recasts. To fulfill this, 121 pre-intermediate EFL learners in 9 different classes were selected using convenience sampling. A questionnaire was used to measure their MI. Moreover, they were observed for 104 hours for the occurrence of recast and uptake using a checklist. For data analysis, multiple regression was used to find out if any components of MI were significant predictors of recasts’ success in leading to uptake. The results indicated that musical, visual, and verbal intelligence significantly predicted whether recasts will be perceived by students as corrective feedback. Therefore, it was concluded that it is essential to build MI into the picture when evaluating the efficacy of recasts on the grounds that students with certain dominant intelligence benefit from subtle clues which in turn help them notice recasts.http://www.iojet.org/index.php/IOJET/article/view/594
spellingShingle Fatemeh Hajikhani
Hojjat Abedi
RECAST SEEN THROUGH MULTIPLE INTELLIGENCES’ LENS
International Online Journal of Education and Teaching
title RECAST SEEN THROUGH MULTIPLE INTELLIGENCES’ LENS
title_full RECAST SEEN THROUGH MULTIPLE INTELLIGENCES’ LENS
title_fullStr RECAST SEEN THROUGH MULTIPLE INTELLIGENCES’ LENS
title_full_unstemmed RECAST SEEN THROUGH MULTIPLE INTELLIGENCES’ LENS
title_short RECAST SEEN THROUGH MULTIPLE INTELLIGENCES’ LENS
title_sort recast seen through multiple intelligences lens
url http://www.iojet.org/index.php/IOJET/article/view/594
work_keys_str_mv AT fatemehhajikhani recastseenthroughmultipleintelligenceslens
AT hojjatabedi recastseenthroughmultipleintelligenceslens