The Relationship between Iranian EFL Learners’ Linguistic and Logical Intelligences and the Frequency of Fallacies and Evidence in their Argumentative Writing: A Gender-based Study

Journal of English Language Pedagogy and Practice

دوره 12، شماره 25، فروردین 2020، صفحه 151-169   

نوع مقاله: Research Paper

شناسه دیجیتال (DOI): 10.30495/jal.2020.675547

نویسنده

Mavadat Saidi^*

English Language Department, Faculty of Humanities, Shahid Rajaee Teacher Training University, Tehran, Iran

چکیده

The learners’ ability to write a well-organized argumentative essay has gained prominence within the last decades. The multiple intelligences play a significant role in enhancing the precision of both language and thought during the writing process. The current study aimed at investigating the possible relationship between linguistic and logical intelligences and the frequency of informal fallacies and evidence types in Iranian EFL learners’ argumentative essays. To the end, a total of 110 upper-intermediate EFL learners were asked to respond to the relevant items of Multiple Intelligences Developmental Assessment Scale (MIDAS) and to write an argumentative essay. The informal fallacies and four categories of evidence were identified using two models of argumentation. Among several categories of informal fallacies and evidence, only statistical evidence was absent in argumentative essays. The results of Pearson product-moment correlation coefficient revealed a significant relationship between the participants’ linguistic and logical intelligences and the frequency of informal fallacies and evidence types in their argumentation. However, no significant difference was found between male and female EFL learners in terms of the frequency of informal fallacies and evidence types in their argumentative essays. The findings contribute to enhancing the efficiency of writing materials and courses by considering the learners’ individual differences.

کلیدواژه‌ها

argumentation؛ evidence؛ informal fallacy؛ linguistic intelligence؛ logical intelligence

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