On the Relationship between Iranian EFL Learners' Multiple Intelligences and Their Learning Styles

2015 ◽  
Vol 5 (4) ◽  
pp. 784 ◽  
Author(s):  
Essa Panahandeh ◽  
Alizamen Khoshkhoonejad ◽  
Noorullah Mansourzadeh ◽  
Farrokhlagha Heidari
2019 ◽  
Vol 6 (1) ◽  
pp. 1681347
Author(s):  
Lida Foroozandehfar ◽  
Gholamhassan Famil Khalili ◽  
Jeroen van de Weijer

2019 ◽  
Vol 15 (1) ◽  
pp. 103-131
Author(s):  
Juan Camilo González Vargas ◽  
Angela Carrillo-Ramos ◽  
Ramon Fabregat ◽  
Lizzeth Camargo ◽  
Maria Caridad García Cepero ◽  
...  

Purpose The purpose of this paper is to describe a support system to the selection of enrichment activities in educational environment called RunayaySoft, where Runayay comes from the word Quechua that means develop and Soft as it is an informatics tool that supports the educational institutions and their students, in the selection of activities that allow foster some of their skills based on their interests, learning styles, aptitudes, multiple intelligences, preferences and so on. Moreover, it suggests institutions about the activities that they should make in their building considering student´s characteristics and the agreements that they have. Design/methodology/approach It does a diagnostic for identifying which characteristics are going to be considered to students and institutions. Then, it generates adaptive profiles with the aim of generating suggestions of enrichment activities that allow to boost some of their skills. For the students were considered their preferences, learning style, aptitude, multiple intelligences and interests. In the case of institutions were the agreements, resources and activities that they develop. Based on this information, it defines the relations for the generation of suggestions of activities toward students, where it does the prioritization of which activities should be considered. Findings For validating the system, it was done as a functional prototype that generates suggestions to students, as well as educative institutions, through a satisfaction test student assess if they agree or disagree with the suggestions given. With that assessment, it is validated the relationship between student’s characteristics, activity and institution are related for generating activities suggestions. Research limitations/implications RunayaySoft generates adaptive profiles for the students, activity and institution. Each profile has information that allows adapt an advice toward students and institutions. Social implications RunayaySoft considers student’s characteristics, activities and educational institutions for generating suggestions for enrichment activities that allow to boost some of their skills. Many times, when activities are generated in educative institutions, they are not considered a learner’s needs and characteristics. For that reason, the system helps institutions to identify activities that should be done in their facilities or with those institutions which they have agreements when the institutions that students come from do not have the required resources. Originality/value RunayaySoft suggests enrichment activities to students as well as educative institutions. For students, it suggests disciplinary areas where they can boost their skills; for each disciplinary area are recommended activities based on their preferences. Once students select the disciplinary area and activities, the system suggests educative institutions activities that they can do. If the institutions do not have the necessary facilities, the system shows with which other institutions they can set agreements. Moreover, it supports educative institutions to identify enrichment clusters, where it clusters students based on similar interest, allowing institutions to identify the activities that they should focus on.


2017 ◽  
Vol 7 (11) ◽  
pp. 1075
Author(s):  
Rashideh Zoghi

Many factors including the learners’ individual personality factors and their sociocultural backgrounds, attitudes to learning the new language, intelligence quotient, and personal learning styles and preferences are involved in the process of second/foreign language learning. The present study attempted to examine the relationship between learners’ linguistic intelligence and their visual, audio, and kinaesthetic (VAK) preferences by formulating three null hypotheses. In order to test the hypotheses, a total number of 100 Iranian female high school-level EFL learners in Tabriz were selected through cluster sampling. The participants took a linguistic intelligence test and responded to a VAK preference questionnaire to obtain data about their linguistic intelligence and VAK preferences. The statistical analysis of the obtained data led to the rejection of all three null hypotheses indicating a significant relationship between the learners’ linguistic intelligence and their VAK preferences. The relationship between linguistic intelligence and auditory preferences turned out to be negative and reverse. These results indicated that in order to increase teaching efficiency, the language educators should try to prepare and use instructional materials suiting the learners’ visual, auditory, and kinaesthetic preferences, indicating the need for individualized language instruction. The findings have implications for curriculum developers and syllabus designers as well as educational policy makers.


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