Types of Intelligences as Predictors of Self-Efficacy: A Study on Iranian EFL Students
Journal Title: International Journal of Research in English Education - Year 2018, Vol 3, Issue 4
Abstract
Through the implementation of the multiple intelligences, teachers and practitioners will see an increase in their students’ performance and ability to learn languages. The application of multiple intelligences theory is suggested as a structured way to address and understand the holistic nature of learners’ diversity. It is a favorable tool for teachers to increase the attractiveness of language learning tasks and, therefore, create motivational conditions. Intelligence is not just a single construct which traditionally was assumed to be constant throughout a person’s life; individual’s profiles of intelligence differ in terms of encouragement, training, and circumstances to enquire materials eliciting particular intelligences. The present study was an attempt to investigate types of intelligences (linguistic, logical-mathematical, visual, kinesthetic, musical, interpersonal, and intrapersonal) as predictors of self-efficacy (generalized self-efficacy, academic self- efficacy, and self-regulatory efficacy). The participants were 148 male and female Iranian B.A. students majoring in TEFL and Translation at the Islamic Azad University in Malayer. The instruments included a 100-item Michigan test, Gardner’s MI questionnaire, a 12-item general self-efficacy scale, an 8-item academic self-efficacy, and an 11-item self-efficacy for self-regulated learning. Data were analyzed through multiple regression analyses. Results indicated that musical and linguistic intelligences were predictors of general self-efficacy and spatial /visual intelligence made a significant contribution to predicting self-efficacy for self-regulated learning while academic self- efficacy could not be predicted by any of the intelligence types.
Authors and Affiliations
Mojtaba Aghajani
Keywords
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- EP ID EP536637
- DOI 10.29252/ijree.3.4.12
- Views 139
- Downloads 0
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