Intelligence and metacognition as predictors of foreign language achievement: A structural equation modeling approach

被引:19
作者
Pishghadam, Reza [1 ]
Khajavy, Gholam Hassan [1 ]
机构
[1] Ferdowsi Univ Mashhad, Dept English, Mashhad, Iran
关键词
Intelligence; Metacognition; Foreign language achievement; Structural equation modeling; INTELLECTUAL ABILITY; APTITUDE; PERFORMANCE; PROFICIENCY;
D O I
10.1016/j.lindif.2012.12.004
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
This study examined the role of metacognition and intelligence in foreign language achievement on a sample of 143 Iranian English as a 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 (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:176 / 181
页数:6
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