The Relationship between Multiple Intelligences and Listening Self-Efficacy among Iranian EFL Learners
- Mohammad Davoudi
- Milad Chavosh
Abstract
The present paper aimed at investigating the relationship between listening self-efficacy and multiple intelligences of Iranian EFL learners. Initially, ninety intermediate male learners were selected randomly from among 20 intermediate classes in a Language Academy in Yazd. In order to assure the homogeneity of the participants in terms of overall language proficiency, PET was administered to the learners. Afterwards, based on the standard deviation and mean, 60 participants were chosen from among the original ninety learners. Following that, the learners were asked to complete the listening self-efficacy and multiple intelligences questionnaires. The results of statistical analysis indicated that there was a significant relationship between total multiple intelligence scores and the Listening self-efficacy of the learners. Moreover, all of the intelligence types, except kinesthetic intelligence as well as verbal and visual intelligence were significantly related to Listening self-efficacy. Additionally, it was found that interpersonal intelligence uniquely explained 5.4 percent of the variance in Listening self-efficacy scores and is thus the best predictor of listening self-efficacy scores.
- Full Text: PDF
- DOI:10.5539/elt.v9n6p199
Journal Metrics
Index
- Academic Journals Database
- CNKI Scholar
- Educational Research Abstracts
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- GETIT@YALE (Yale University Library)
- Harvard Library E-Journals
- IBZ Online
- INDEX ISLAMICUS
- JournalSeek
- JournalTOCs
- LearnTechLib
- Linguistics Abstracts Online
- LOCKSS
- MIAR
- MLA International Bibliography
- NewJour
- Open J-Gate
- PKP Open Archives Harvester
- Publons
- ResearchGate
- ROAD
- SHERPA/RoMEO
- Standard Periodical Directory
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- Ulrich's
- Universe Digital Library
Contact
- Gavin YuEditorial Assistant
- elt@ccsenet.org