Title : ( Intelligence and metacognition as predictors of foreign language achievement: A structural equation modeling approach )
Authors: Reza Pishghadam , Gholam Hassan Khajavy Fadafen ,Abstract
This study examined the role of metacognition and intelligence in foreign language achievement on a sample of 143 Iranian English as Foreign Language (EFL) learners. Participants completed Raven s Advanced Progressive Matrices as a measure of intelligence, and Metacognitive Awareness Inventory as a measure of metacognition. Learners scores at the end of the semester were aggregated as a measure of foreign language achievement. The findings revealed that intelligence accounts for 12.2% of the variance in foreign language achievement, and metacognition accounts for 17.6% of the variance. Although each of them had a unique impact on foreign language achievement, metacognition outweighs intelligence as a predictor of foreign language achievement. Finally, the pedagogical implications were discussed in light of foreign language achievement.
Keywords
Intelligence; Metacognition; Foreign language achievement; Structural equation modeling@article{paperid:1031559,
author = {Pishghadam, Reza and Khajavy Fadafen, Gholam Hassan},
title = {Intelligence and metacognition as predictors of foreign language achievement: A structural equation modeling approach},
journal = {Learning and Individual Differences},
year = {2013},
volume = {24},
number = {2},
month = {April},
issn = {1041-6080},
pages = {176--181},
numpages = {5},
keywords = {Intelligence;
Metacognition;
Foreign language achievement;
Structural equation modeling},
}
%0 Journal Article
%T Intelligence and metacognition as predictors of foreign language achievement: A structural equation modeling approach
%A Pishghadam, Reza
%A Khajavy Fadafen, Gholam Hassan
%J Learning and Individual Differences
%@ 1041-6080
%D 2013