AN EMPIRICAL ANALYSIS OF EDUCATIONAL RESEARCH BASED ON CRITICAL DISCOURSE ANALYSIS

Bushra Ni’ma Rashid
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Abstract

Critical discourse analysis in educational research has improved our collective knowledge of educational research, teaching, and learning processes, as well as the historical, social, and political aspects that affect those processes. Critical Discourse Analysis (CDA) is a theory that studies spoken and written texts to uncover the discursive origins of power, dominance inequity, and bias in an empirical analysis of education research. It assesses critically the preservation and replication of these discursive sources within certain social, political, and historical settings. The conventional technique in educational research has many problems with empirical analysis. In this paper, we suggested using a Multimodal Discourse Analysis (MDA) approach for efficient empirical analysis in the field of education. The K-means clustering algorithm is used to preprocess the educational data. The findings are presented in the following order: the many definitions of MDA, theories of education included in MDA frameworks, the link between MDA and context, the issue of methodologies, and reflexivityrelated concerns. The results show how MDA frameworks are being reshaped as a result of educational researchers using them in educational research..
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基于批判话语分析的教育研究实证分析
教育研究中的批判性话语分析提高了我们对教育研究、教学和学习过程的集体知识,以及影响这些过程的历史、社会和政治方面的知识。批判性话语分析(CDA)是一种研究口头和书面文本的理论,旨在通过对教育研究的实证分析,揭示权力、支配地位、不平等和偏见的话语起源。它批判性地评估了这些话语来源在某些社会、政治和历史背景下的保存和复制。传统的教育研究方法在实证分析方面存在许多问题。在本文中,我们建议使用多模态语篇分析(MDA)方法在教育领域进行有效的实证分析。采用k均值聚类算法对教育数据进行预处理。这些发现按以下顺序呈现:MDA的许多定义,MDA框架中包含的教育理论,MDA与环境之间的联系,方法问题,以及与反身性相关的问题。结果表明,由于教育研究人员在教育研究中使用MDA框架,它们正在被重塑。
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